fish_tracking_model.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "mount_file_id": "1OqQNCxjGe05o4KbFQ1sx9CSQnUqiUvde",
      "authorship_tag": "ABX9TyONQ2G5GJHKcD03dWHnJKx2",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/talisma-cassoma/UnderWaterDrone-D-OceanLab/blob/UnderWaterDrone/fish_tracking_model.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A0fNHWsI3Hnf",
        "outputId": "86cd4d54-8413-4b70-bdf3-88788ea77c13"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: roboflow in /usr/local/lib/python3.10/dist-packages (1.1.28)\n",
            "Requirement already satisfied: certifi==2023.7.22 in /usr/local/lib/python3.10/dist-packages (from roboflow) (2023.7.22)\n",
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            "Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.10/dist-packages (from roboflow) (0.10.0)\n",
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            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.4.5)\n",
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            "Requirement already satisfied: opencv-python-headless==4.8.0.74 in /usr/local/lib/python3.10/dist-packages (from roboflow) (4.8.0.74)\n",
            "Requirement already satisfied: Pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from roboflow) (9.4.0)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.8.2)\n",
            "Requirement already satisfied: python-dotenv in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.0.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.31.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.16.0)\n",
            "Requirement already satisfied: urllib3>=1.26.6 in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.0.7)\n",
            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from roboflow) (4.66.4)\n",
            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from roboflow) (6.0.1)\n",
            "Requirement already satisfied: requests-toolbelt in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.0.0)\n",
            "Requirement already satisfied: python-magic in /usr/local/lib/python3.10/dist-packages (from roboflow) (0.4.27)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (1.2.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (4.51.0)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (24.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (3.1.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->roboflow) (3.3.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install roboflow"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from roboflow import Roboflow\n",
        "from google.colab import userdata\n",
        "\n",
        "rf = Roboflow(api_key = userdata.get('roboflow_api_key'))\n",
        "project = rf.workspace(\"brad-dwyer\").project(\"aquarium-combined\")\n",
        "version = project.version(6)\n",
        "dataset = version.download(\"yolov5\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VqC6GayZ5OCs",
        "outputId": "bb5f4270-c462-446d-ce04-7fc2299ee9d8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "loading Roboflow workspace...\n",
            "loading Roboflow project...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading Dataset Version Zip in Aquarium-Combined-6 to yolov5pytorch:: 100%|██████████| 334421/334421 [00:08<00:00, 41306.20it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "Extracting Dataset Version Zip to Aquarium-Combined-6 in yolov5pytorch:: 100%|██████████| 1288/1288 [00:01<00:00, 840.83it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/ultralytics/yolov5"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aDRPppDS7o8U",
        "outputId": "4f5ed026-7186-476a-8019-4d18ddb7f8e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'yolov5'...\n",
            "remote: Enumerating objects: 16614, done.\u001b[K\n",
            "remote: Counting objects: 100% (92/92), done.\u001b[K\n",
            "remote: Compressing objects: 100% (65/65), done.\u001b[K\n",
            "remote: Total 16614 (delta 48), reused 56 (delta 27), pack-reused 16522\u001b[K\n",
            "Receiving objects: 100% (16614/16614), 15.14 MiB | 19.72 MiB/s, done.\n",
            "Resolving deltas: 100% (11401/11401), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir /content/drive/MyDrive/fish_tracking/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FxBNvCar7nu_",
        "outputId": "073cd180-df11-48f4-c416-b130115fad6c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shell-init: error retrieving current directory: getcwd: cannot access parent directories: No such file or directory\n",
            "mkdir: cannot create directory ‘/content/drive/MyDrive/fish_tracking/’: File exists\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#!cp -a /content/yolov5 /content/drive/MyDrive/fish_tracking\n",
        "!cp -a /content/Aquarium-Combined-6 /content/drive/MyDrive/fish_tracking/yolov5"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GmmHnv0YFzfo",
        "outputId": "5d342a42-8700-4b09-b531-6ef3c63d4cea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shell-init: error retrieving current directory: getcwd: cannot access parent directories: No such file or directory\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!nvidia-smi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pZjPXMrnBs-5",
        "outputId": "c0250b01-230e-46c2-b950-9db4dc6006b1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Wed May 15 16:57:07 2024       \n",
            "+---------------------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |\n",
            "|-----------------------------------------+----------------------+----------------------+\n",
            "| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                                         |                      |               MIG M. |\n",
            "|=========================================+======================+======================|\n",
            "|   0  Tesla T4                       Off | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   43C    P8              10W /  70W |      0MiB / 15360MiB |      0%      Default |\n",
            "|                                         |                      |                  N/A |\n",
            "+-----------------------------------------+----------------------+----------------------+\n",
            "                                                                                         \n",
            "+---------------------------------------------------------------------------------------+\n",
            "| Processes:                                                                            |\n",
            "|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |\n",
            "|        ID   ID                                                             Usage      |\n",
            "|=======================================================================================|\n",
            "|  No running processes found                                                           |\n",
            "+---------------------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/drive/MyDrive/fish_tracking/\n",
        "!pip install -U -r ./yolov5/requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "6dBcATjw90jZ",
        "outputId": "52325559-79b9-4ea3-892e-fdb6baa8d845"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/fish_tracking\n",
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            "  Downloading gitdb-4.0.11-py3-none-any.whl (62 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r ./yolov5/requirements.txt (line 6)) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r ./yolov5/requirements.txt (line 6)) (24.0)\n",
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            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r ./yolov5/requirements.txt (line 6)) (2.8.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r ./yolov5/requirements.txt (line 12)) (3.3.2)\n",
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            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15)) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15)) (3.3)\n",
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            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
            "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
            "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
            "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
            "Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
            "Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
            "Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
            "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
            "Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
            "Collecting nvidia-nccl-cu12==2.20.5 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Downloading nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m176.2/176.2 MB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
            "Collecting triton==2.3.0 (from torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Downloading triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m168.1/168.1 MB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.8.0->-r ./yolov5/requirements.txt (line 15))\n",
            "  Using cached nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
            "Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.232->-r ./yolov5/requirements.txt (line 18)) (9.0.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->-r ./yolov5/requirements.txt (line 27)) (2023.4)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->-r ./yolov5/requirements.txt (line 27)) (2024.1)\n",
            "Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython>=3.1.30->-r ./yolov5/requirements.txt (line 5))\n",
            "  Downloading smmap-5.0.1-py3-none-any.whl (24 kB)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3->-r ./yolov5/requirements.txt (line 6)) (1.16.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.8.0->-r ./yolov5/requirements.txt (line 15)) (2.1.5)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->-r ./yolov5/requirements.txt (line 15)) (1.3.0)\n",
            "Installing collected packages: triton, smmap, setuptools, psutil, pillow, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, scipy, pandas, opencv-python, nvidia-cusparse-cu12, nvidia-cudnn-cu12, gitdb, nvidia-cusolver-cu12, matplotlib, gitpython, torch, seaborn, torchvision, thop, ultralytics\n",
            "  Attempting uninstall: triton\n",
            "    Found existing installation: triton 2.2.0\n",
            "    Uninstalling triton-2.2.0:\n",
            "      Successfully uninstalled triton-2.2.0\n",
            "  Attempting uninstall: setuptools\n",
            "    Found existing installation: setuptools 67.7.2\n",
            "    Uninstalling setuptools-67.7.2:\n",
            "      Successfully uninstalled setuptools-67.7.2\n",
            "  Attempting uninstall: psutil\n",
            "    Found existing installation: psutil 5.9.5\n",
            "    Uninstalling psutil-5.9.5:\n",
            "      Successfully uninstalled psutil-5.9.5\n",
            "  Attempting uninstall: pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.25.2\n",
            "    Uninstalling numpy-1.25.2:\n",
            "      Successfully uninstalled numpy-1.25.2\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.11.4\n",
            "    Uninstalling scipy-1.11.4:\n",
            "      Successfully uninstalled scipy-1.11.4\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 2.0.3\n",
            "    Uninstalling pandas-2.0.3:\n",
            "      Successfully uninstalled pandas-2.0.3\n",
            "  Attempting uninstall: opencv-python\n",
            "    Found existing installation: opencv-python 4.8.0.76\n",
            "    Uninstalling opencv-python-4.8.0.76:\n",
            "      Successfully uninstalled opencv-python-4.8.0.76\n",
            "  Attempting uninstall: matplotlib\n",
            "    Found existing installation: matplotlib 3.7.1\n",
            "    Uninstalling matplotlib-3.7.1:\n",
            "      Successfully uninstalled matplotlib-3.7.1\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.2.1+cu121\n",
            "    Uninstalling torch-2.2.1+cu121:\n",
            "      Successfully uninstalled torch-2.2.1+cu121\n",
            "  Attempting uninstall: seaborn\n",
            "    Found existing installation: seaborn 0.13.1\n",
            "    Uninstalling seaborn-0.13.1:\n",
            "      Successfully uninstalled seaborn-0.13.1\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.17.1+cu121\n",
            "    Uninstalling torchvision-0.17.1+cu121:\n",
            "      Successfully uninstalled torchvision-0.17.1+cu121\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "ipython 7.34.0 requires jedi>=0.16, which is not installed.\n",
            "cudf-cu12 24.4.1 requires pandas<2.2.2dev0,>=2.0, but you have pandas 2.2.2 which is incompatible.\n",
            "google-colab 1.0.0 requires pandas==2.0.3, but you have pandas 2.2.2 which is incompatible.\n",
            "imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.3.0 which is incompatible.\n",
            "torchaudio 2.2.1+cu121 requires torch==2.2.1, but you have torch 2.3.0 which is incompatible.\n",
            "torchtext 0.17.1 requires torch==2.2.1, but you have torch 2.3.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed gitdb-4.0.11 gitpython-3.1.43 matplotlib-3.8.4 numpy-1.26.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.1.105 opencv-python-4.9.0.80 pandas-2.2.2 pillow-10.3.0 psutil-5.9.8 scipy-1.13.0 seaborn-0.13.2 setuptools-69.5.1 smmap-5.0.1 thop-0.1.1.post2209072238 torch-2.3.0 torchvision-0.18.0 triton-2.3.0 ultralytics-8.2.15\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL",
                  "_distutils_hack",
                  "matplotlib",
                  "mpl_toolkits",
                  "pkg_resources",
                  "psutil",
                  "setuptools"
                ]
              },
              "id": "d2544a4ce4304931b8915e912defb5c5"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/drive/MyDrive/fish_tracking/\n",
        "!python ./yolov5/train.py --img 416 --batch 16 --epochs 200 --data ./yolov5/Aquarium-Combined-6/data.yaml --cfg ./yolov5/models/yolov5x.yaml --weights yolov5x.pt --name yolov5x_results  --cache --device 0"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rMYNhcuWKp2b",
        "outputId": "0af7f247-d724-4903-b464-658559ce395d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/fish_tracking\n",
            "2024-05-15 17:13:26.369158: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2024-05-15 17:13:26.369213: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2024-05-15 17:13:26.370634: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mweights=yolov5x.pt, cfg=./yolov5/models/yolov5x.yaml, data=./yolov5/Aquarium-Combined-6/data.yaml, hyp=yolov5/data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=16, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, evolve_population=yolov5/data/hyps, resume_evolve=None, bucket=, cache=ram, image_weights=False, device=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=yolov5/runs/train, name=yolov5x_results, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest, ndjson_console=False, ndjson_file=False\n",
            "\u001b[34m\u001b[1mgithub: \u001b[0mup to date with https://github.com/ultralytics/yolov5 ✅\n",
            "YOLOv5 🚀 v7.0-312-g1bcd17ee Python-3.10.12 torch-2.3.0+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
            "\n",
            "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0\n",
            "\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir yolov5/runs/train', view at http://localhost:6006/\n",
            "Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...\n",
            "100% 755k/755k [00:00<00:00, 24.6MB/s]\n",
            "Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x.pt to yolov5x.pt...\n",
            "100% 166M/166M [00:01<00:00, 128MB/s] \n",
            "\n",
            "Overriding model.yaml nc=80 with nc=7\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1      8800  models.common.Conv                      [3, 80, 6, 2, 2]              \n",
            "  1                -1  1    115520  models.common.Conv                      [80, 160, 3, 2]               \n",
            "  2                -1  4    309120  models.common.C3                        [160, 160, 4]                 \n",
            "  3                -1  1    461440  models.common.Conv                      [160, 320, 3, 2]              \n",
            "  4                -1  8   2259200  models.common.C3                        [320, 320, 8]                 \n",
            "  5                -1  1   1844480  models.common.Conv                      [320, 640, 3, 2]              \n",
            "  6                -1 12  13125120  models.common.C3                        [640, 640, 12]                \n",
            "  7                -1  1   7375360  models.common.Conv                      [640, 1280, 3, 2]             \n",
            "  8                -1  4  19676160  models.common.C3                        [1280, 1280, 4]               \n",
            "  9                -1  1   4099840  models.common.SPPF                      [1280, 1280, 5]               \n",
            " 10                -1  1    820480  models.common.Conv                      [1280, 640, 1, 1]             \n",
            " 11                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 12           [-1, 6]  1         0  models.common.Concat                    [1]                           \n",
            " 13                -1  4   5332480  models.common.C3                        [1280, 640, 4, False]         \n",
            " 14                -1  1    205440  models.common.Conv                      [640, 320, 1, 1]              \n",
            " 15                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 16           [-1, 4]  1         0  models.common.Concat                    [1]                           \n",
            " 17                -1  4   1335040  models.common.C3                        [640, 320, 4, False]          \n",
            " 18                -1  1    922240  models.common.Conv                      [320, 320, 3, 2]              \n",
            " 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n",
            " 20                -1  4   4922880  models.common.C3                        [640, 640, 4, False]          \n",
            " 21                -1  1   3687680  models.common.Conv                      [640, 640, 3, 2]              \n",
            " 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n",
            " 23                -1  4  19676160  models.common.C3                        [1280, 1280, 4, False]        \n",
            " 24      [17, 20, 23]  1     80748  models.yolo.Detect                      [7, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [320, 640, 1280]]\n",
            "YOLOv5x summary: 445 layers, 86258188 parameters, 86258188 gradients, 204.8 GFLOPs\n",
            "\n",
            "Transferred 738/745 items from yolov5x.pt\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.0005), 126 bias\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
            "  self.pid = os.fork()\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/fish_tracking/yolov5/Aquarium-Combined-6/train/labels... 448 images, 1 backgrounds, 0 corrupt: 100% 448/448 [05:58<00:00,  1.25it/s]\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/fish_tracking/yolov5/Aquarium-Combined-6/train/labels.cache\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mCaching images (0.2GB ram): 100% 448/448 [00:35<00:00, 12.47it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/fish_tracking/yolov5/Aquarium-Combined-6/valid/labels... 127 images, 0 backgrounds, 0 corrupt: 100% 127/127 [02:51<00:00,  1.35s/it]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/fish_tracking/yolov5/Aquarium-Combined-6/valid/labels.cache\n",
            "\u001b[34m\u001b[1mval: \u001b[0mCaching images (0.0GB ram): 100% 127/127 [00:37<00:00,  3.36it/s]\n",
            "\n",
            "\u001b[34m\u001b[1mAutoAnchor: \u001b[0m4.83 anchors/target, 0.996 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\n",
            "Plotting labels to yolov5/runs/train/yolov5x_results/labels.jpg... \n",
            "Image sizes 416 train, 416 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1myolov5/runs/train/yolov5x_results\u001b[0m\n",
            "Starting training for 200 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      0/199      6.85G     0.1083    0.06133    0.05546        181        416: 100% 28/28 [00:21<00:00,  1.28it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:04<00:00,  1.12s/it]\n",
            "                   all        127        909    0.00682      0.375     0.0107    0.00263\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      1/199      7.75G     0.0874    0.06373    0.04379        208        416: 100% 28/28 [00:16<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:03<00:00,  1.02it/s]\n",
            "                   all        127        909     0.0417      0.341      0.069     0.0209\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      2/199      7.75G    0.07874    0.05287    0.04016        180        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.34it/s]\n",
            "                   all        127        909      0.525      0.261      0.128     0.0443\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      3/199      7.75G    0.07687    0.05047    0.03458        156        416: 100% 28/28 [00:14<00:00,  1.95it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.51it/s]\n",
            "                   all        127        909      0.632      0.216      0.133     0.0417\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      4/199      7.75G    0.07363    0.05035    0.02788        137        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.567      0.251      0.268     0.0975\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      5/199      7.75G    0.06612    0.04709    0.02524        201        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.41it/s]\n",
            "                   all        127        909      0.715      0.256      0.366      0.134\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      6/199      7.75G    0.06144     0.0495    0.02179        247        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.71it/s]\n",
            "                   all        127        909      0.392      0.572      0.443      0.186\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      7/199      7.75G    0.05751    0.04568    0.01988        204        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.427      0.574       0.46      0.198\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      8/199      7.75G    0.05603    0.04722    0.01795        204        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.35it/s]\n",
            "                   all        127        909      0.562      0.589      0.561      0.283\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "      9/199      7.75G    0.05315    0.04399    0.01559        181        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.55it/s]\n",
            "                   all        127        909      0.519      0.607      0.526      0.244\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     10/199      7.75G    0.05152    0.04252    0.01336        149        416: 100% 28/28 [00:14<00:00,  1.90it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.86it/s]\n",
            "                   all        127        909      0.608      0.629      0.607      0.317\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     11/199      7.75G       0.05    0.04401    0.01342        192        416: 100% 28/28 [00:14<00:00,  1.90it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.09it/s]\n",
            "                   all        127        909      0.625      0.653      0.644        0.3\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     12/199      7.75G    0.04882    0.04103    0.01194        128        416: 100% 28/28 [00:14<00:00,  1.94it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.46it/s]\n",
            "                   all        127        909      0.628      0.661      0.644      0.327\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     13/199      7.75G    0.04789    0.04053     0.0108        140        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.686      0.647      0.672      0.337\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     14/199      7.75G    0.04678    0.04249   0.009739        256        416: 100% 28/28 [00:14<00:00,  1.90it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.56it/s]\n",
            "                   all        127        909      0.725      0.739      0.733      0.397\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     15/199      7.75G    0.04656    0.04204   0.008449        194        416: 100% 28/28 [00:14<00:00,  1.90it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.54it/s]\n",
            "                   all        127        909      0.718      0.679      0.708      0.381\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     16/199      7.75G    0.04455     0.0372   0.007944        126        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.722      0.717      0.717      0.404\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     17/199      7.75G    0.04321    0.03951    0.00765        192        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.00it/s]\n",
            "                   all        127        909      0.809      0.685       0.74      0.396\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     18/199      7.75G    0.04451    0.04313    0.00684        149        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.68it/s]\n",
            "                   all        127        909      0.698      0.653      0.701      0.369\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     19/199      7.75G    0.04389    0.03903   0.006551        192        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.35it/s]\n",
            "                   all        127        909      0.794      0.697      0.746      0.397\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     20/199      7.75G    0.04403    0.04036   0.006037        271        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.95it/s]\n",
            "                   all        127        909      0.766      0.706       0.75      0.407\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     21/199      7.75G    0.04305    0.03882   0.005774        228        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.752       0.71      0.745      0.399\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     22/199      7.75G    0.04232    0.03806   0.005806        231        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.07it/s]\n",
            "                   all        127        909      0.844      0.679      0.767      0.417\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     23/199      7.75G     0.0423    0.03998   0.005458        177        416: 100% 28/28 [00:14<00:00,  1.94it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.68it/s]\n",
            "                   all        127        909      0.825      0.675      0.732      0.406\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     24/199      7.75G    0.04206    0.03893   0.005212        160        416: 100% 28/28 [00:16<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.72it/s]\n",
            "                   all        127        909      0.777      0.708      0.765      0.411\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     25/199      7.75G     0.0409    0.03789   0.005372        175        416: 100% 28/28 [00:16<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.91it/s]\n",
            "                   all        127        909      0.834      0.709      0.758       0.43\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     26/199      7.75G    0.04095    0.03652    0.00443        166        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:03<00:00,  1.30it/s]\n",
            "                   all        127        909       0.77      0.737      0.764       0.42\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     27/199      7.75G    0.04113    0.03659   0.004869        188        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.01it/s]\n",
            "                   all        127        909       0.77       0.76      0.776      0.419\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     28/199      7.75G    0.04038     0.0382   0.004712        199        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.842      0.706      0.763      0.448\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     29/199      7.75G    0.03957    0.03661    0.00455        200        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.861      0.743      0.802      0.461\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     30/199      7.75G    0.04054    0.03745   0.004079        224        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.80it/s]\n",
            "                   all        127        909      0.802       0.72      0.772      0.427\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     31/199      7.75G    0.03945    0.03416   0.004261        251        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.54it/s]\n",
            "                   all        127        909      0.786      0.735      0.774      0.409\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     32/199      7.75G    0.03966    0.03751   0.004181        201        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.60it/s]\n",
            "                   all        127        909      0.805      0.742      0.764      0.427\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     33/199      7.75G    0.03906     0.0356   0.004284        234        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.75it/s]\n",
            "                   all        127        909      0.793      0.695      0.752      0.433\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     34/199      7.75G    0.03875    0.03561   0.003925        193        416: 100% 28/28 [00:16<00:00,  1.71it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.99it/s]\n",
            "                   all        127        909      0.835       0.72      0.791      0.465\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     35/199      7.75G    0.03786    0.03476   0.003637        236        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.43it/s]\n",
            "                   all        127        909      0.807      0.713      0.758      0.447\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     36/199      7.75G    0.03814    0.03484   0.003906        195        416: 100% 28/28 [00:16<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.814       0.75      0.776      0.452\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     37/199      7.75G    0.03727    0.03519   0.004003        208        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909      0.831      0.722      0.774      0.445\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     38/199      7.75G     0.0386    0.03574   0.003487        223        416: 100% 28/28 [00:16<00:00,  1.69it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.848      0.705      0.759      0.449\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     39/199      7.75G      0.037    0.03579    0.00362        167        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.74it/s]\n",
            "                   all        127        909      0.834      0.746      0.783      0.463\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     40/199      7.75G    0.03587    0.03415   0.003884        153        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.41it/s]\n",
            "                   all        127        909      0.813      0.745      0.779      0.463\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     41/199      7.75G    0.03624    0.03439   0.003316        191        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.78it/s]\n",
            "                   all        127        909      0.802       0.72      0.766      0.438\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     42/199      7.75G    0.03587    0.03373   0.003721        235        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.806      0.754      0.775       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     43/199      7.75G    0.03617    0.03433    0.00344        206        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.86it/s]\n",
            "                   all        127        909      0.807       0.76      0.781      0.456\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     44/199      7.75G    0.03621    0.03351   0.003484        243        416: 100% 28/28 [00:14<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.70it/s]\n",
            "                   all        127        909      0.753       0.74      0.772      0.467\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     45/199      7.75G    0.03575    0.03291   0.003239        353        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.80it/s]\n",
            "                   all        127        909      0.818      0.742      0.774      0.451\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     46/199      7.75G    0.03604    0.03541   0.002947        193        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.801      0.754      0.775      0.464\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     47/199      7.75G    0.03608    0.03527   0.003356        156        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.50it/s]\n",
            "                   all        127        909      0.828      0.753      0.784      0.455\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     48/199      7.75G    0.03623    0.03379   0.003109        146        416: 100% 28/28 [00:15<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.90it/s]\n",
            "                   all        127        909      0.823      0.706      0.757      0.447\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     49/199      7.75G    0.03438    0.03219   0.003249        174        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.808      0.749      0.787      0.481\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     50/199      7.75G    0.03419    0.03318   0.003181        218        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.34it/s]\n",
            "                   all        127        909      0.785      0.738      0.778      0.466\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     51/199      7.75G    0.03466    0.03301   0.003226        214        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.835      0.714      0.788      0.466\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     52/199      7.75G    0.03412    0.03238   0.002921        155        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.819       0.73      0.781      0.468\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     53/199      7.75G    0.03429     0.0318   0.002806        181        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.816      0.744      0.774      0.456\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     54/199      7.75G    0.03413    0.03115   0.003045        139        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.98it/s]\n",
            "                   all        127        909      0.811      0.729      0.755      0.461\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     55/199      7.75G    0.03469    0.03513    0.00292        220        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.49it/s]\n",
            "                   all        127        909      0.831      0.749      0.784      0.468\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     56/199      7.75G    0.03402    0.03223   0.002665        250        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.63it/s]\n",
            "                   all        127        909      0.827      0.732      0.769      0.473\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     57/199      7.75G    0.03373    0.03211   0.002636        182        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.819      0.736      0.786      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     58/199      7.75G    0.03378    0.03259   0.002513        194        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.801       0.74      0.775      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     59/199      7.75G    0.03299    0.03031   0.002776        218        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.817      0.732      0.765       0.46\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     60/199      7.75G    0.03241    0.03032   0.002746        170        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.37it/s]\n",
            "                   all        127        909      0.801      0.737      0.767      0.463\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     61/199      7.75G    0.03247    0.03338   0.002689        205        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.812      0.753       0.77      0.459\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     62/199      7.75G    0.03199    0.03253   0.002418        183        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.812      0.727      0.765       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     63/199      7.75G    0.03227    0.03152   0.002348        162        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.89it/s]\n",
            "                   all        127        909      0.793      0.748      0.771      0.454\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     64/199      7.75G    0.03257    0.03148   0.002284        212        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.826      0.755      0.789      0.465\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     65/199      7.75G    0.03173    0.03005   0.002353        206        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.95it/s]\n",
            "                   all        127        909      0.849      0.717      0.782      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     66/199      7.75G    0.03265    0.03133    0.00243        153        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.88it/s]\n",
            "                   all        127        909      0.831      0.708      0.757      0.465\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     67/199      7.75G    0.03245    0.02969   0.002329        188        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.829      0.719      0.771      0.474\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     68/199      7.75G    0.03188    0.03127   0.002333        144        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.59it/s]\n",
            "                   all        127        909      0.845      0.705      0.762      0.458\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     69/199      7.75G    0.03114     0.0304   0.002465        154        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.62it/s]\n",
            "                   all        127        909       0.81      0.733      0.761      0.461\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     70/199      7.75G    0.03122    0.02954   0.002353        203        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.41it/s]\n",
            "                   all        127        909      0.823      0.732      0.765       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     71/199      7.75G    0.03062    0.02896    0.00238        241        416: 100% 28/28 [00:16<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909      0.832      0.712      0.766      0.476\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     72/199      7.75G    0.03168    0.03059   0.002375        325        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.80it/s]\n",
            "                   all        127        909      0.804      0.742      0.776      0.465\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     73/199      7.75G     0.0298    0.02942   0.002381        196        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909      0.813      0.728      0.772      0.467\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     74/199      7.75G    0.03063    0.02928   0.002521        289        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909      0.819      0.745      0.788      0.471\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     75/199      7.75G     0.0309    0.02919   0.002211        248        416: 100% 28/28 [00:15<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.49it/s]\n",
            "                   all        127        909        0.8      0.732      0.767      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     76/199      7.75G    0.03044    0.02924   0.002274        152        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.64it/s]\n",
            "                   all        127        909      0.855      0.718      0.787      0.477\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     77/199      7.75G    0.02975    0.02922   0.002293        178        416: 100% 28/28 [00:16<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.68it/s]\n",
            "                   all        127        909      0.849      0.738      0.798      0.477\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     78/199      7.75G    0.02944    0.02933   0.002239        102        416: 100% 28/28 [00:16<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.03it/s]\n",
            "                   all        127        909      0.841      0.756      0.796      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     79/199      7.75G    0.03012    0.02763   0.002265        237        416: 100% 28/28 [00:16<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909      0.837      0.727      0.768      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     80/199      7.75G    0.02952    0.02842   0.002055        181        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.88it/s]\n",
            "                   all        127        909      0.838      0.716      0.784      0.463\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     81/199      7.75G    0.03027    0.02881   0.002058        194        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.828      0.768      0.783      0.474\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     82/199      7.75G    0.02997     0.0296    0.00199        154        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.84it/s]\n",
            "                   all        127        909       0.86      0.716       0.77       0.48\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     83/199      7.75G    0.02902    0.02837   0.002197        154        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.80it/s]\n",
            "                   all        127        909       0.85      0.723      0.777      0.481\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     84/199      7.75G    0.02923     0.0264   0.002143        258        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.57it/s]\n",
            "                   all        127        909      0.838      0.728       0.77       0.47\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     85/199      7.75G    0.02977    0.02854   0.002082        203        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.59it/s]\n",
            "                   all        127        909      0.823       0.76      0.783      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     86/199      7.75G    0.02923    0.03016   0.002076        142        416: 100% 28/28 [00:16<00:00,  1.67it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.64it/s]\n",
            "                   all        127        909      0.836       0.72      0.757      0.464\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     87/199      7.75G    0.02901    0.02898   0.001918        221        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.74it/s]\n",
            "                   all        127        909      0.845      0.722      0.761      0.476\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     88/199      7.75G    0.02863    0.02997   0.001754        213        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.93it/s]\n",
            "                   all        127        909      0.842      0.722      0.785      0.477\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     89/199      7.75G    0.02897     0.0298   0.001772        218        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.86it/s]\n",
            "                   all        127        909      0.854      0.735       0.78      0.472\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     90/199      7.75G    0.02862     0.0278   0.002155        239        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909      0.823      0.732      0.777      0.464\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     91/199      7.75G    0.02813    0.02799   0.002039        216        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.807      0.751      0.786      0.476\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     92/199      7.75G    0.02824    0.02724    0.00186        222        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.05it/s]\n",
            "                   all        127        909      0.852      0.716      0.776      0.482\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     93/199      7.75G    0.02799     0.0281    0.00173        135        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.48it/s]\n",
            "                   all        127        909      0.851      0.732       0.78      0.488\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     94/199      7.75G    0.02838     0.0284   0.001938        229        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.64it/s]\n",
            "                   all        127        909      0.842      0.747      0.786      0.488\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     95/199      7.75G    0.02815    0.02746   0.001875        150        416: 100% 28/28 [00:15<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.70it/s]\n",
            "                   all        127        909      0.834       0.73      0.774      0.486\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     96/199      7.75G     0.0277    0.02632    0.00189        268        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.78it/s]\n",
            "                   all        127        909      0.813      0.749      0.793      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     97/199      7.75G    0.02746    0.02794   0.001868        339        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.76it/s]\n",
            "                   all        127        909       0.84      0.754      0.793      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     98/199      7.75G    0.02829    0.02769   0.001649        191        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.858      0.723      0.779      0.481\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "     99/199      7.75G    0.02623    0.02615   0.001793        168        416: 100% 28/28 [00:15<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909      0.813      0.769      0.795      0.492\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    100/199      7.75G    0.02703    0.02853   0.001604        223        416: 100% 28/28 [00:16<00:00,  1.69it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.06it/s]\n",
            "                   all        127        909       0.85      0.728      0.796      0.493\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    101/199      7.75G    0.02685    0.02671    0.00173        220        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.822      0.739      0.786      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    102/199      7.75G     0.0269    0.02635   0.001655        130        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.859      0.708      0.786      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    103/199      7.75G    0.02689    0.02725   0.001616        241        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.80it/s]\n",
            "                   all        127        909      0.836      0.727      0.788      0.484\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    104/199      7.75G    0.02694    0.02614   0.001717        231        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.818      0.743      0.782      0.488\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    105/199      7.75G    0.02709    0.02726   0.001714        214        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.837      0.736       0.79      0.492\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    106/199      7.75G    0.02673    0.02722   0.001637        152        416: 100% 28/28 [00:15<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.46it/s]\n",
            "                   all        127        909      0.806      0.777      0.791      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    107/199      7.75G    0.02657    0.02724   0.001536        173        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.90it/s]\n",
            "                   all        127        909      0.839      0.742      0.798      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    108/199      7.75G    0.02665    0.02692   0.001634        162        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.89it/s]\n",
            "                   all        127        909      0.804      0.748      0.792      0.489\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    109/199      7.75G    0.02648    0.02541   0.001446        133        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.98it/s]\n",
            "                   all        127        909      0.844      0.712      0.786      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    110/199      7.75G    0.02637    0.02803   0.001623        168        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.88it/s]\n",
            "                   all        127        909      0.835      0.745      0.792      0.491\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    111/199      7.75G     0.0261    0.02636   0.001708        142        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.89it/s]\n",
            "                   all        127        909      0.813       0.77      0.793       0.49\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    112/199      7.75G    0.02548    0.02502   0.001686        163        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.854      0.724      0.788      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    113/199      7.75G    0.02541    0.02517   0.001637        240        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.842      0.729      0.785      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    114/199      7.75G    0.02549    0.02585     0.0015        330        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.40it/s]\n",
            "                   all        127        909      0.836      0.749      0.788      0.483\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    115/199      7.75G    0.02543    0.02615   0.001554        174        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.84it/s]\n",
            "                   all        127        909      0.804      0.744      0.783      0.489\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    116/199      7.75G    0.02534    0.02541   0.001674        218        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.73it/s]\n",
            "                   all        127        909      0.824      0.747      0.785      0.483\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    117/199      7.75G    0.02506    0.02586   0.001392        235        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.54it/s]\n",
            "                   all        127        909      0.839       0.73      0.787      0.482\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    118/199      7.75G    0.02557    0.02476   0.001387        166        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.60it/s]\n",
            "                   all        127        909      0.843      0.696       0.77      0.473\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    119/199      7.75G     0.0251    0.02627   0.001354        228        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.61it/s]\n",
            "                   all        127        909      0.815      0.731      0.784      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    120/199      7.75G    0.02521    0.02553   0.001413        196        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.827      0.729       0.78      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    121/199      7.75G    0.02458    0.02439   0.001656        175        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.842      0.708      0.777      0.481\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    122/199      7.75G    0.02387    0.02424   0.001494        174        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.819      0.743      0.784      0.489\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    123/199      7.75G    0.02471    0.02538   0.001586        235        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909      0.832      0.722      0.774      0.478\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    124/199      7.75G    0.02464    0.02512   0.001557        192        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.84it/s]\n",
            "                   all        127        909      0.832      0.731      0.789      0.488\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    125/199      7.75G    0.02451    0.02505   0.001489        189        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.76it/s]\n",
            "                   all        127        909      0.811      0.756      0.788      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    126/199      7.75G    0.02449    0.02494   0.001419        181        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.55it/s]\n",
            "                   all        127        909      0.839       0.73      0.802      0.496\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    127/199      7.75G    0.02442    0.02373    0.00139        166        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.39it/s]\n",
            "                   all        127        909      0.835      0.745      0.798      0.492\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    128/199      7.75G    0.02397    0.02391    0.00127        218        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.45it/s]\n",
            "                   all        127        909       0.82      0.754      0.796      0.491\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    129/199      7.75G    0.02477    0.02484   0.001425        270        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.75it/s]\n",
            "                   all        127        909      0.812      0.753      0.794      0.483\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    130/199      7.75G    0.02424    0.02534   0.001432        211        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.81it/s]\n",
            "                   all        127        909      0.842      0.716      0.782      0.479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    131/199      7.75G    0.02395     0.0252   0.001345        192        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.77it/s]\n",
            "                   all        127        909       0.84      0.742      0.789      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    132/199      7.75G    0.02383    0.02452   0.001288        247        416: 100% 28/28 [00:16<00:00,  1.71it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.818       0.77      0.799       0.49\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    133/199      7.75G    0.02301    0.02494   0.001274        146        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.84it/s]\n",
            "                   all        127        909      0.828      0.743       0.79      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    134/199      7.75G    0.02324    0.02439   0.001342        215        416: 100% 28/28 [00:15<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909       0.82      0.757      0.799      0.487\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    135/199      7.75G    0.02364    0.02548   0.001102        155        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909      0.819       0.77      0.806      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    136/199      7.75G    0.02359    0.02469   0.001112        189        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.47it/s]\n",
            "                   all        127        909      0.866      0.728      0.799      0.495\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    137/199      7.75G    0.02305    0.02378   0.001391        197        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.99it/s]\n",
            "                   all        127        909      0.777      0.788      0.792      0.492\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    138/199      7.75G    0.02317    0.02556   0.001198        204        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.843      0.731      0.791      0.496\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    139/199      7.75G     0.0233    0.02593   0.001351        328        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.845      0.725      0.782      0.488\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    140/199      7.75G     0.0241    0.02435   0.001256        214        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.53it/s]\n",
            "                   all        127        909      0.843      0.746      0.788      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    141/199      7.75G    0.02265    0.02402   0.001421        199        416: 100% 28/28 [00:14<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.46it/s]\n",
            "                   all        127        909      0.814      0.765      0.784      0.486\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    142/199      7.75G    0.02293    0.02416   0.001059        191        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.55it/s]\n",
            "                   all        127        909      0.806      0.766      0.784      0.491\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    143/199      7.75G    0.02288    0.02475   0.001195        225        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.82it/s]\n",
            "                   all        127        909      0.855      0.717      0.785      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    144/199      7.75G      0.023    0.02314   0.001181        163        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.50it/s]\n",
            "                   all        127        909      0.804      0.751      0.782      0.494\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    145/199      7.75G    0.02242    0.02427   0.001001        160        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.70it/s]\n",
            "                   all        127        909      0.859      0.709      0.785      0.493\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    146/199      7.75G    0.02249     0.0241   0.001064        154        416: 100% 28/28 [00:14<00:00,  1.88it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.43it/s]\n",
            "                   all        127        909      0.821       0.75       0.79      0.485\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    147/199      7.75G    0.02213    0.02308   0.001195        152        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.48it/s]\n",
            "                   all        127        909      0.831      0.738      0.789      0.495\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    148/199      7.75G    0.02201    0.02273   0.001173        199        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.76it/s]\n",
            "                   all        127        909      0.833       0.75      0.799      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    149/199      7.75G    0.02189    0.02402   0.001008        147        416: 100% 28/28 [00:16<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.79it/s]\n",
            "                   all        127        909      0.817      0.768      0.808      0.503\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    150/199      7.75G    0.02137    0.02275   0.001037        228        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.82it/s]\n",
            "                   all        127        909      0.853      0.722      0.798      0.502\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    151/199      7.75G    0.02179    0.02317   0.001073        242        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.849      0.731      0.798      0.496\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    152/199      7.75G    0.02209    0.02386  0.0009295        164        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.50it/s]\n",
            "                   all        127        909      0.842      0.737      0.802      0.493\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    153/199      7.75G    0.02131    0.02273   0.001058        246        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.48it/s]\n",
            "                   all        127        909      0.834      0.743      0.801      0.494\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    154/199      7.75G     0.0214    0.02283   0.001046        198        416: 100% 28/28 [00:14<00:00,  1.88it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.39it/s]\n",
            "                   all        127        909      0.832      0.767      0.797      0.494\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    155/199      7.75G    0.02138     0.0215   0.001046        137        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.93it/s]\n",
            "                   all        127        909      0.832      0.746      0.794      0.492\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    156/199      7.75G    0.02178    0.02307  0.0009856        242        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.90it/s]\n",
            "                   all        127        909      0.801       0.77      0.791      0.489\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    157/199      7.75G    0.02118     0.0222   0.001085        172        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.848      0.734      0.798      0.486\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    158/199      7.75G    0.02106    0.02298  0.0009145        294        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.95it/s]\n",
            "                   all        127        909      0.839      0.742        0.8      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    159/199      7.75G    0.02048    0.02138      0.001        220        416: 100% 28/28 [00:15<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.63it/s]\n",
            "                   all        127        909      0.843      0.731      0.796      0.498\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    160/199      7.75G    0.02075    0.02011  0.0009815        169        416: 100% 28/28 [00:15<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.88it/s]\n",
            "                   all        127        909      0.824      0.734      0.798      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    161/199      7.75G    0.02047    0.02233  0.0009243        223        416: 100% 28/28 [00:15<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.52it/s]\n",
            "                   all        127        909      0.826      0.736      0.798      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    162/199      7.75G    0.02069    0.02232   0.001057        205        416: 100% 28/28 [00:16<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.97it/s]\n",
            "                   all        127        909      0.821      0.752      0.799        0.5\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    163/199      7.75G    0.02035    0.02153  0.0009288        198        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.834      0.726      0.788      0.501\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    164/199      7.75G    0.02125      0.023  0.0009357        254        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.62it/s]\n",
            "                   all        127        909      0.848      0.736      0.793      0.501\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    165/199      7.75G     0.0202    0.02199  0.0009403        238        416: 100% 28/28 [00:16<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.40it/s]\n",
            "                   all        127        909      0.828      0.753      0.794      0.502\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    166/199      7.75G    0.02094    0.02193  0.0009095        233        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909       0.83      0.764        0.8      0.497\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    167/199      7.75G    0.01987    0.02213  0.0009813        298        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.838      0.745        0.8      0.505\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    168/199      7.75G    0.02074    0.02227  0.0008928        289        416: 100% 28/28 [00:15<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.86it/s]\n",
            "                   all        127        909      0.812      0.765      0.798      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    169/199      7.75G    0.02013    0.02152   0.000866        196        416: 100% 28/28 [00:16<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.03it/s]\n",
            "                   all        127        909      0.824      0.752      0.797      0.506\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    170/199      7.75G    0.01974    0.02087  0.0008236        223        416: 100% 28/28 [00:15<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:03<00:00,  1.31it/s]\n",
            "                   all        127        909      0.827      0.744      0.791      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    171/199      7.75G    0.02038    0.02359  0.0008177        205        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.76it/s]\n",
            "                   all        127        909      0.816      0.751       0.79      0.494\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    172/199      7.75G    0.01927    0.02103  0.0008071        196        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.825       0.75      0.789      0.495\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    173/199      7.75G    0.01962    0.02111  0.0008518        147        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.813      0.762      0.795      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    174/199      7.75G    0.01969    0.02084  0.0008532        273        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:03<00:00,  1.31it/s]\n",
            "                   all        127        909      0.817      0.761      0.793      0.501\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    175/199      7.75G     0.0202    0.02278  0.0007866        253        416: 100% 28/28 [00:14<00:00,  1.91it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.50it/s]\n",
            "                   all        127        909      0.831      0.749      0.793      0.496\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    176/199      7.75G     0.0195    0.02094  0.0007819        158        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.51it/s]\n",
            "                   all        127        909      0.828       0.75      0.793        0.5\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    177/199      7.75G    0.01957    0.02147  0.0009459        223        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.835      0.748      0.792      0.498\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    178/199      7.75G    0.01933     0.0209  0.0007668        168        416: 100% 28/28 [00:15<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.782      0.783      0.797      0.499\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    179/199      7.75G    0.01867    0.01987  0.0007981        237        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.814      0.762      0.801        0.5\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    180/199      7.75G    0.01928     0.0205  0.0008206        144        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.47it/s]\n",
            "                   all        127        909      0.814      0.756      0.798      0.501\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    181/199      7.75G    0.01962     0.0212   0.000799        166        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.85it/s]\n",
            "                   all        127        909      0.824      0.766      0.803      0.502\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    182/199      7.75G    0.01944    0.02191  0.0007708        191        416: 100% 28/28 [00:15<00:00,  1.86it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.829      0.748      0.797      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    183/199      7.75G    0.01859    0.02039  0.0007159        184        416: 100% 28/28 [00:14<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.36it/s]\n",
            "                   all        127        909      0.834      0.744      0.796      0.503\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    184/199      7.75G    0.01909    0.02025  0.0008059        208        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.84it/s]\n",
            "                   all        127        909       0.84      0.742      0.801      0.503\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    185/199      7.75G    0.01846    0.01978  0.0006548        194        416: 100% 28/28 [00:14<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.91it/s]\n",
            "                   all        127        909       0.83      0.744      0.802      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    186/199      7.75G    0.01973    0.02069  0.0008083        157        416: 100% 28/28 [00:15<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.83it/s]\n",
            "                   all        127        909      0.814      0.757      0.803      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    187/199      7.75G     0.0188    0.01989  0.0006704        301        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.89it/s]\n",
            "                   all        127        909      0.813      0.755      0.802      0.503\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    188/199      7.75G    0.01834    0.01957  0.0006011        212        416: 100% 28/28 [00:14<00:00,  1.89it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.66it/s]\n",
            "                   all        127        909      0.818      0.754      0.804      0.507\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    189/199      7.75G    0.01866    0.01986  0.0006765        188        416: 100% 28/28 [00:14<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.39it/s]\n",
            "                   all        127        909      0.831      0.748      0.802      0.506\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    190/199      7.75G    0.01811    0.01803  0.0006391        146        416: 100% 28/28 [00:15<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.812      0.752      0.803      0.504\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    191/199      7.75G     0.0185    0.02002  0.0006967        144        416: 100% 28/28 [00:14<00:00,  1.92it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.37it/s]\n",
            "                   all        127        909      0.792      0.774      0.804      0.505\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    192/199      7.75G    0.01858    0.02091  0.0007593        304        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.87it/s]\n",
            "                   all        127        909      0.811      0.756      0.803      0.507\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    193/199      7.75G    0.01869     0.0202   0.000647        277        416: 100% 28/28 [00:15<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.89it/s]\n",
            "                   all        127        909      0.827      0.746      0.804      0.505\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    194/199      7.75G    0.01874    0.02093  0.0007176        152        416: 100% 28/28 [00:16<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:01<00:00,  2.07it/s]\n",
            "                   all        127        909      0.826      0.748      0.806      0.508\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    195/199      7.75G    0.01791    0.01986   0.000768        144        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.94it/s]\n",
            "                   all        127        909      0.805      0.764      0.803      0.505\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    196/199      7.75G    0.01805    0.02006  0.0006331        185        416: 100% 28/28 [00:15<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.88it/s]\n",
            "                   all        127        909      0.791      0.775      0.802      0.506\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    197/199      7.75G    0.01824    0.01996    0.00067        211        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.92it/s]\n",
            "                   all        127        909      0.796      0.771      0.805      0.508\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    198/199      7.75G    0.01825    0.02009  0.0006985        149        416: 100% 28/28 [00:15<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.51it/s]\n",
            "                   all        127        909      0.831      0.739      0.804       0.51\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n",
            "    199/199      7.75G    0.01825    0.02115  0.0006111        215        416: 100% 28/28 [00:15<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:02<00:00,  1.63it/s]\n",
            "                   all        127        909      0.792      0.768      0.803      0.507\n",
            "\n",
            "200 epochs completed in 1.331 hours.\n",
            "Optimizer stripped from yolov5/runs/train/yolov5x_results/weights/last.pt, 173.1MB\n",
            "Optimizer stripped from yolov5/runs/train/yolov5x_results/weights/best.pt, 173.1MB\n",
            "\n",
            "Validating yolov5/runs/train/yolov5x_results/weights/best.pt...\n",
            "Fusing layers... \n",
            "YOLOv5x summary: 322 layers, 86213788 parameters, 0 gradients, 203.9 GFLOPs\n",
            "                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 4/4 [00:04<00:00,  1.20s/it]\n",
            "                   all        127        909      0.832      0.739      0.804       0.51\n",
            "                  fish        127        459      0.879      0.776      0.841      0.499\n",
            "             jellyfish        127        155      0.895      0.882      0.951      0.579\n",
            "               penguin        127        104      0.718      0.769      0.753       0.37\n",
            "                puffin        127         74       0.73      0.568      0.625       0.31\n",
            "                 shark        127         57      0.826      0.684      0.774       0.52\n",
            "              starfish        127         27      0.964      0.704       0.84      0.666\n",
            "              stingray        127         33      0.809      0.788      0.845      0.628\n",
            "Results saved to \u001b[1myolov5/runs/train/yolov5x_results\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/drive/MyDrive/fish_tracking/\n",
        "!python ./yolov5/detect.py --weights ./yolov5/runs/train/yolov5x_results/weights/last.pt --img 416 --conf 0.4 --source https://youtu.be/ixlucWpoZBM"
      ],
      "metadata": {
        "id": "EttbYGg_lsCb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "aebe5af6-b3f5-4f86-a17c-9472ca6c6b98"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mLe flux de sortie a été tronqué et ne contient que les 5000 dernières lignes.\u001b[0m\n",
            "0: 256x416 2 fishs, 2 sharks, 16.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 24.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.1ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.2ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 23.9ms\n",
            "0: 256x416 2 sharks, 14.1ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.2ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.1ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.0ms\n",
            "0: 256x416 1 penguin, 3 sharks, 15.2ms\n",
            "0: 256x416 1 penguin, 3 sharks, 14.4ms\n",
            "0: 256x416 1 penguin, 3 sharks, 14.9ms\n",
            "0: 256x416 1 penguin, 3 sharks, 16.2ms\n",
            "0: 256x416 1 penguin, 3 sharks, 15.4ms\n",
            "0: 256x416 1 penguin, 3 sharks, 14.5ms\n",
            "0: 256x416 1 penguin, 3 sharks, 15.4ms\n",
            "0: 256x416 1 penguin, 3 sharks, 28.6ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 19.7ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.2ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 3 sharks, 15.9ms\n",
            "0: 256x416 3 sharks, 14.9ms\n",
            "0: 256x416 3 sharks, 15.5ms\n",
            "0: 256x416 3 sharks, 15.3ms\n",
            "0: 256x416 3 sharks, 14.8ms\n",
            "0: 256x416 3 sharks, 14.4ms\n",
            "0: 256x416 3 sharks, 15.0ms\n",
            "0: 256x416 3 sharks, 16.2ms\n",
            "0: 256x416 3 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 22.5ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 3 sharks, 18.5ms\n",
            "0: 256x416 4 sharks, 15.4ms\n",
            "0: 256x416 4 sharks, 14.7ms\n",
            "0: 256x416 4 sharks, 14.8ms\n",
            "0: 256x416 4 sharks, 15.3ms\n",
            "0: 256x416 4 sharks, 14.8ms\n",
            "0: 256x416 4 sharks, 14.4ms\n",
            "0: 256x416 4 sharks, 20.5ms\n",
            "0: 256x416 5 sharks, 15.0ms\n",
            "0: 256x416 5 sharks, 14.5ms\n",
            "0: 256x416 5 sharks, 14.1ms\n",
            "0: 256x416 5 sharks, 15.1ms\n",
            "0: 256x416 5 sharks, 16.2ms\n",
            "0: 256x416 5 sharks, 15.6ms\n",
            "0: 256x416 5 sharks, 23.0ms\n",
            "0: 256x416 5 sharks, 22.9ms\n",
            "0: 256x416 5 sharks, 20.0ms\n",
            "0: 256x416 5 sharks, 42.1ms\n",
            "0: 256x416 1 penguin, 5 sharks, 20.2ms\n",
            "0: 256x416 1 penguin, 5 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 5 sharks, 17.8ms\n",
            "0: 256x416 1 penguin, 5 sharks, 21.0ms\n",
            "0: 256x416 1 penguin, 5 sharks, 25.1ms\n",
            "0: 256x416 5 sharks, 113.0ms\n",
            "0: 256x416 3 sharks, 14.7ms\n",
            "0: 256x416 3 sharks, 27.1ms\n",
            "0: 256x416 2 sharks, 14.2ms\n",
            "0: 256x416 2 sharks, 18.1ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 17.3ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 13.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 38.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.2ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 3 sharks, 22.2ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 3 sharks, 20.2ms\n",
            "0: 256x416 1 fish, 3 sharks, 21.4ms\n",
            "0: 256x416 1 fish, 3 sharks, 34.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 23.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 24.7ms\n",
            "0: 256x416 2 sharks, 17.4ms\n",
            "0: 256x416 3 sharks, 15.8ms\n",
            "0: 256x416 3 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 24.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 25.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 43.9ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 35.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 23.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 22.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 22.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.3ms\n",
            "0: 256x416 2 sharks, 22.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 82.0ms\n",
            "0: 256x416 2 sharks, 22.9ms\n",
            "0: 256x416 2 sharks, 31.6ms\n",
            "0: 256x416 2 sharks, 31.1ms\n",
            "0: 256x416 2 sharks, 27.0ms\n",
            "0: 256x416 2 sharks, 31.8ms\n",
            "0: 256x416 2 sharks, 33.5ms\n",
            "0: 256x416 2 sharks, 48.1ms\n",
            "0: 256x416 2 sharks, 53.6ms\n",
            "0: 256x416 2 sharks, 35.9ms\n",
            "0: 256x416 2 sharks, 51.8ms\n",
            "0: 256x416 2 sharks, 78.8ms\n",
            "0: 256x416 3 fishs, 2 sharks, 87.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 105.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 42.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 55.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 65.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 33.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 110.6ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 49.5ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 35.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 24.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 30.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 23.6ms\n",
            "0: 256x416 2 fishs, 2 sharks, 39.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 34.6ms\n",
            "0: 256x416 2 fishs, 2 sharks, 23.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 33.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 1 stingray, 69.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 1 stingray, 60.4ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 20.6ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 31.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 20.5ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 20.5ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 18.9ms\n",
            "0: 256x416 1 fish, 1 shark, 23.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.7ms\n",
            "0: 256x416 1 fish, 1 shark, 17.6ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 19.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 16.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 33.8ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 21.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 18.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 16.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 16.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 18.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.5ms\n",
            "0: 256x416 1 shark, 1 stingray, 17.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 17.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 18.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 19.1ms\n",
            "0: 256x416 2 sharks, 1 stingray, 14.9ms\n",
            "0: 256x416 2 sharks, 1 stingray, 14.9ms\n",
            "0: 256x416 2 sharks, 1 stingray, 16.0ms\n",
            "0: 256x416 2 sharks, 1 stingray, 15.1ms\n",
            "0: 256x416 2 sharks, 1 stingray, 15.8ms\n",
            "0: 256x416 2 sharks, 1 stingray, 22.4ms\n",
            "0: 256x416 2 sharks, 1 stingray, 17.1ms\n",
            "0: 256x416 2 sharks, 1 stingray, 24.3ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.5ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.5ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 2 stingrays, 15.6ms\n",
            "0: 256x416 1 stingray, 14.4ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 stingray, 16.0ms\n",
            "0: 256x416 1 stingray, 17.1ms\n",
            "0: 256x416 1 stingray, 14.8ms\n",
            "0: 256x416 1 stingray, 15.5ms\n",
            "0: 256x416 1 stingray, 16.8ms\n",
            "0: 256x416 1 stingray, 16.7ms\n",
            "0: 256x416 1 stingray, 15.9ms\n",
            "0: 256x416 1 stingray, 15.1ms\n",
            "0: 256x416 1 stingray, 14.7ms\n",
            "0: 256x416 1 stingray, 15.2ms\n",
            "0: 256x416 2 stingrays, 17.6ms\n",
            "0: 256x416 2 stingrays, 14.8ms\n",
            "0: 256x416 2 stingrays, 15.6ms\n",
            "0: 256x416 2 stingrays, 15.7ms\n",
            "0: 256x416 2 stingrays, 15.8ms\n",
            "0: 256x416 2 stingrays, 20.0ms\n",
            "0: 256x416 1 stingray, 18.7ms\n",
            "0: 256x416 2 stingrays, 14.7ms\n",
            "0: 256x416 2 stingrays, 14.3ms\n",
            "0: 256x416 2 stingrays, 14.3ms\n",
            "0: 256x416 2 stingrays, 16.1ms\n",
            "0: 256x416 2 stingrays, 16.6ms\n",
            "0: 256x416 2 stingrays, 15.5ms\n",
            "0: 256x416 2 stingrays, 14.8ms\n",
            "0: 256x416 2 stingrays, 15.9ms\n",
            "0: 256x416 2 stingrays, 17.0ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 stingray, 14.6ms\n",
            "0: 256x416 1 stingray, 15.5ms\n",
            "0: 256x416 1 stingray, 15.5ms\n",
            "0: 256x416 1 stingray, 15.2ms\n",
            "0: 256x416 1 stingray, 20.2ms\n",
            "0: 256x416 1 stingray, 15.2ms\n",
            "0: 256x416 1 stingray, 15.6ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 14.7ms\n",
            "0: 256x416 1 stingray, 17.2ms\n",
            "0: 256x416 1 stingray, 16.3ms\n",
            "0: 256x416 1 stingray, 16.7ms\n",
            "0: 256x416 1 stingray, 16.1ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 14.7ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 stingray, 16.8ms\n",
            "0: 256x416 1 stingray, 18.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.7ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 19.1ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.5ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 18.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 17.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 23.7ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.1ms\n",
            "0: 256x416 1 shark, 19.5ms\n",
            "0: 256x416 1 shark, 2 stingrays, 14.8ms\n",
            "0: 256x416 1 shark, 2 stingrays, 15.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 18.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.7ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.7ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 20.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.5ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 28.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 18.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 21.3ms\n",
            "0: 256x416 2 fishs, 1 stingray, 15.3ms\n",
            "0: 256x416 2 fishs, 1 stingray, 15.9ms\n",
            "0: 256x416 2 fishs, 1 stingray, 15.9ms\n",
            "0: 256x416 2 fishs, 1 stingray, 18.1ms\n",
            "0: 256x416 2 fishs, 1 stingray, 15.0ms\n",
            "0: 256x416 2 fishs, 1 stingray, 16.3ms\n",
            "0: 256x416 2 fishs, 1 stingray, 16.4ms\n",
            "0: 256x416 2 fishs, 1 stingray, 15.5ms\n",
            "0: 256x416 2 fishs, 1 stingray, 14.9ms\n",
            "0: 256x416 2 fishs, 1 stingray, 17.5ms\n",
            "0: 256x416 1 stingray, 14.4ms\n",
            "0: 256x416 1 stingray, 15.7ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 14.4ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 16.3ms\n",
            "0: 256x416 1 stingray, 17.0ms\n",
            "0: 256x416 1 stingray, 16.5ms\n",
            "0: 256x416 1 stingray, 15.6ms\n",
            "0: 256x416 1 stingray, 14.9ms\n",
            "0: 256x416 1 stingray, 15.8ms\n",
            "0: 256x416 1 stingray, 16.0ms\n",
            "0: 256x416 1 stingray, 15.6ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 14.6ms\n",
            "0: 256x416 1 stingray, 15.5ms\n",
            "0: 256x416 1 stingray, 16.5ms\n",
            "0: 256x416 1 stingray, 16.4ms\n",
            "0: 256x416 1 stingray, 15.9ms\n",
            "0: 256x416 1 stingray, 15.1ms\n",
            "0: 256x416 1 stingray, 14.9ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 stingray, 16.8ms\n",
            "0: 256x416 1 stingray, 17.3ms\n",
            "0: 256x416 1 stingray, 15.1ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 21.1ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 14.3ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 16.2ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 17.1ms\n",
            "0: 256x416 1 fish, 16.5ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 17.6ms\n",
            "0: 256x416 1 fish, 1 shark, 16.4ms\n",
            "0: 256x416 1 fish, 1 shark, 14.4ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 17.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 (no detections), 23.7ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.2ms\n",
            "0: 256x416 (no detections), 19.6ms\n",
            "0: 256x416 (no detections), 20.7ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 36.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.9ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.4ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 24.4ms\n",
            "0: 256x416 1 shark, 23.3ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.3ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 20.2ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 17.5ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 20.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 20.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 23.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 19.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 29.6ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 20.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 27.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 17.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 18.3ms\n",
            "0: 256x416 1 fish, 1 shark, 21.1ms\n",
            "0: 256x416 1 fish, 1 shark, 20.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 21.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 22.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 20.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 24.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 26.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.3ms\n",
            "0: 256x416 1 fish, 1 shark, 18.3ms\n",
            "0: 256x416 1 fish, 1 shark, 18.2ms\n",
            "0: 256x416 1 fish, 1 shark, 19.4ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 18.5ms\n",
            "0: 256x416 1 fish, 1 shark, 17.4ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 20.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 17.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 18.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 39.2ms\n",
            "0: 256x416 (no detections), 18.2ms\n",
            "0: 256x416 (no detections), 19.0ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 20.8ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 26.4ms\n",
            "0: 256x416 (no detections), 44.2ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 24.9ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 17.2ms\n",
            "0: 256x416 (no detections), 29.2ms\n",
            "0: 256x416 (no detections), 21.0ms\n",
            "0: 256x416 (no detections), 22.4ms\n",
            "0: 256x416 (no detections), 19.8ms\n",
            "0: 256x416 (no detections), 19.4ms\n",
            "0: 256x416 (no detections), 19.5ms\n",
            "0: 256x416 (no detections), 19.9ms\n",
            "0: 256x416 (no detections), 21.3ms\n",
            "0: 256x416 (no detections), 34.0ms\n",
            "0: 256x416 1 penguin, 21.7ms\n",
            "0: 256x416 1 penguin, 14.4ms\n",
            "0: 256x416 1 penguin, 14.1ms\n",
            "0: 256x416 1 penguin, 14.2ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 18.3ms\n",
            "0: 256x416 1 penguin, 18.5ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 (no detections), 16.9ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 1 penguin, 2 sharks, 17.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 19.0ms\n",
            "0: 256x416 1 puffin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 2 puffins, 17.0ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 20.3ms\n",
            "0: 256x416 1 puffin, 1 shark, 14.8ms\n",
            "0: 256x416 1 puffin, 1 shark, 15.7ms\n",
            "0: 256x416 1 puffin, 1 shark, 15.1ms\n",
            "0: 256x416 1 puffin, 1 shark, 14.8ms\n",
            "0: 256x416 1 puffin, 1 shark, 15.0ms\n",
            "0: 256x416 1 puffin, 1 shark, 16.6ms\n",
            "0: 256x416 1 puffin, 1 shark, 16.1ms\n",
            "0: 256x416 1 puffin, 1 shark, 15.3ms\n",
            "0: 256x416 1 puffin, 1 shark, 20.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 25.4ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 20.2ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 17.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.2ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.2ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 24.0ms\n",
            "0: 256x416 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 18.2ms\n",
            "0: 256x416 1 shark, 20.0ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 20.6ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 21.7ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 21.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.4ms\n",
            "0: 256x416 2 penguins, 18.8ms\n",
            "0: 256x416 2 penguins, 14.7ms\n",
            "0: 256x416 2 penguins, 14.2ms\n",
            "0: 256x416 2 penguins, 15.9ms\n",
            "0: 256x416 2 penguins, 14.7ms\n",
            "0: 256x416 2 penguins, 15.2ms\n",
            "0: 256x416 2 penguins, 15.9ms\n",
            "0: 256x416 2 penguins, 15.5ms\n",
            "0: 256x416 2 penguins, 14.9ms\n",
            "0: 256x416 2 penguins, 15.0ms\n",
            "0: 256x416 2 penguins, 16.3ms\n",
            "0: 256x416 2 penguins, 16.2ms\n",
            "0: 256x416 2 penguins, 15.6ms\n",
            "0: 256x416 2 penguins, 14.9ms\n",
            "0: 256x416 2 penguins, 15.1ms\n",
            "0: 256x416 2 penguins, 17.7ms\n",
            "0: 256x416 2 penguins, 15.4ms\n",
            "0: 256x416 2 penguins, 14.9ms\n",
            "0: 256x416 2 penguins, 15.9ms\n",
            "0: 256x416 2 penguins, 15.8ms\n",
            "0: 256x416 2 penguins, 15.1ms\n",
            "0: 256x416 2 penguins, 14.8ms\n",
            "0: 256x416 2 penguins, 16.1ms\n",
            "0: 256x416 2 penguins, 16.7ms\n",
            "0: 256x416 2 penguins, 17.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 19.6ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 19.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.2ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.5ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.5ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.8ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.5ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.4ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.6ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.9ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 18.2ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.6ms\n",
            "0: 256x416 2 penguins, 19.4ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 19.8ms\n",
            "0: 256x416 2 penguins, 14.8ms\n",
            "0: 256x416 1 penguin, 14.4ms\n",
            "0: 256x416 1 penguin, 14.9ms\n",
            "0: 256x416 1 penguin, 15.1ms\n",
            "0: 256x416 1 penguin, 15.6ms\n",
            "0: 256x416 1 penguin, 15.2ms\n",
            "0: 256x416 1 penguin, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 18.3ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 22.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 20.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 21.7ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 19.5ms\n",
            "0: 256x416 (no detections), 35.9ms\n",
            "0: 256x416 1 fish, 18.8ms\n",
            "0: 256x416 1 fish, 21.0ms\n",
            "0: 256x416 1 fish, 14.0ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 21.2ms\n",
            "0: 256x416 1 fish, 19.5ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 17.4ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 17.6ms\n",
            "0: 256x416 1 fish, 19.2ms\n",
            "0: 256x416 3 fishs, 1 shark, 15.0ms\n",
            "0: 256x416 3 fishs, 1 shark, 14.2ms\n",
            "0: 256x416 3 fishs, 1 shark, 20.1ms\n",
            "0: 256x416 3 fishs, 1 shark, 16.6ms\n",
            "0: 256x416 3 fishs, 1 shark, 14.0ms\n",
            "0: 256x416 3 fishs, 1 shark, 14.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 1 shark, 22.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 24.2ms\n",
            "0: 256x416 2 fishs, 16.4ms\n",
            "0: 256x416 2 fishs, 14.6ms\n",
            "0: 256x416 2 fishs, 16.0ms\n",
            "0: 256x416 2 fishs, 14.6ms\n",
            "0: 256x416 2 fishs, 16.6ms\n",
            "0: 256x416 2 fishs, 15.4ms\n",
            "0: 256x416 2 fishs, 15.2ms\n",
            "0: 256x416 2 fishs, 15.9ms\n",
            "0: 256x416 2 fishs, 15.4ms\n",
            "0: 256x416 2 fishs, 15.4ms\n",
            "0: 256x416 1 fish, 1 penguin, 20.6ms\n",
            "0: 256x416 2 fishs, 1 penguin, 16.4ms\n",
            "0: 256x416 2 fishs, 1 penguin, 18.9ms\n",
            "0: 256x416 2 fishs, 1 penguin, 16.9ms\n",
            "0: 256x416 2 fishs, 1 penguin, 20.4ms\n",
            "0: 256x416 2 fishs, 1 penguin, 17.0ms\n",
            "0: 256x416 3 fishs, 15.4ms\n",
            "0: 256x416 3 fishs, 25.1ms\n",
            "0: 256x416 3 fishs, 17.5ms\n",
            "0: 256x416 3 fishs, 18.8ms\n",
            "0: 256x416 3 fishs, 14.7ms\n",
            "0: 256x416 3 fishs, 16.1ms\n",
            "0: 256x416 3 fishs, 24.0ms\n",
            "0: 256x416 2 fishs, 16.0ms\n",
            "0: 256x416 2 fishs, 14.7ms\n",
            "0: 256x416 2 fishs, 25.8ms\n",
            "0: 256x416 3 fishs, 23.2ms\n",
            "0: 256x416 3 fishs, 15.3ms\n",
            "0: 256x416 3 fishs, 14.8ms\n",
            "0: 256x416 3 fishs, 14.8ms\n",
            "0: 256x416 3 fishs, 14.4ms\n",
            "0: 256x416 3 fishs, 16.8ms\n",
            "0: 256x416 3 fishs, 14.7ms\n",
            "0: 256x416 3 fishs, 15.5ms\n",
            "0: 256x416 3 fishs, 15.6ms\n",
            "0: 256x416 3 fishs, 16.9ms\n",
            "0: 256x416 3 fishs, 29.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 13.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 20.8ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 22.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.0ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 18.3ms\n",
            "0: 256x416 2 fishs, 2 sharks, 22.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 19.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 21.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 17.6ms\n",
            "0: 256x416 2 fishs, 2 sharks, 23.7ms\n",
            "0: 256x416 3 fishs, 1 shark, 29.9ms\n",
            "0: 256x416 3 fishs, 1 shark, 14.0ms\n",
            "0: 256x416 3 fishs, 1 shark, 29.4ms\n",
            "0: 256x416 4 fishs, 14.9ms\n",
            "0: 256x416 4 fishs, 17.2ms\n",
            "0: 256x416 4 fishs, 21.1ms\n",
            "0: 256x416 4 fishs, 24.3ms\n",
            "0: 256x416 4 fishs, 18.6ms\n",
            "0: 256x416 4 fishs, 14.7ms\n",
            "0: 256x416 4 fishs, 32.5ms\n",
            "0: 256x416 3 fishs, 1 stingray, 19.0ms\n",
            "0: 256x416 3 fishs, 1 stingray, 18.7ms\n",
            "0: 256x416 3 fishs, 1 stingray, 27.7ms\n",
            "0: 256x416 3 fishs, 1 shark, 17.2ms\n",
            "0: 256x416 3 fishs, 1 shark, 18.4ms\n",
            "0: 256x416 3 fishs, 1 shark, 15.4ms\n",
            "0: 256x416 3 fishs, 1 shark, 16.4ms\n",
            "0: 256x416 3 fishs, 1 shark, 15.7ms\n",
            "0: 256x416 3 fishs, 1 shark, 16.0ms\n",
            "0: 256x416 3 fishs, 1 shark, 15.8ms\n",
            "0: 256x416 3 fishs, 1 shark, 15.4ms\n",
            "0: 256x416 3 fishs, 1 shark, 16.0ms\n",
            "0: 256x416 3 fishs, 1 shark, 16.8ms\n",
            "0: 256x416 2 fishs, 22.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.6ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 24.4ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 26.3ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 20.2ms\n",
            "0: 256x416 1 fish, 18.7ms\n",
            "0: 256x416 1 fish, 17.8ms\n",
            "0: 256x416 1 fish, 22.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 2 penguins, 22.9ms\n",
            "0: 256x416 2 penguins, 15.8ms\n",
            "0: 256x416 2 penguins, 19.0ms\n",
            "0: 256x416 2 penguins, 18.6ms\n",
            "0: 256x416 2 penguins, 18.9ms\n",
            "0: 256x416 2 penguins, 19.2ms\n",
            "0: 256x416 2 penguins, 19.1ms\n",
            "0: 256x416 2 penguins, 19.4ms\n",
            "0: 256x416 2 penguins, 19.0ms\n",
            "0: 256x416 2 penguins, 20.3ms\n",
            "0: 256x416 2 sharks, 27.1ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 17.6ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 50.8ms\n",
            "0: 256x416 2 sharks, 21.7ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 31.1ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 14.8ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 15.9ms\n",
            "0: 256x416 1 penguin, 14.9ms\n",
            "0: 256x416 1 penguin, 14.7ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 17.1ms\n",
            "0: 256x416 1 penguin, 16.8ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 14.7ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 16.7ms\n",
            "0: 256x416 1 fish, 17.7ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 17.1ms\n",
            "0: 256x416 1 fish, 17.0ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 18.6ms\n",
            "0: 256x416 (no detections), 14.4ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 19.9ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 27.4ms\n",
            "0: 256x416 2 fishs, 15.1ms\n",
            "0: 256x416 2 fishs, 14.7ms\n",
            "0: 256x416 2 fishs, 15.3ms\n",
            "0: 256x416 2 fishs, 16.8ms\n",
            "0: 256x416 2 fishs, 15.9ms\n",
            "0: 256x416 2 fishs, 15.1ms\n",
            "0: 256x416 2 fishs, 15.0ms\n",
            "0: 256x416 2 fishs, 16.6ms\n",
            "0: 256x416 2 fishs, 23.3ms\n",
            "0: 256x416 4 fishs, 17.5ms\n",
            "0: 256x416 4 fishs, 16.6ms\n",
            "0: 256x416 4 fishs, 14.9ms\n",
            "0: 256x416 4 fishs, 14.9ms\n",
            "0: 256x416 4 fishs, 16.3ms\n",
            "0: 256x416 4 fishs, 15.7ms\n",
            "0: 256x416 4 fishs, 16.1ms\n",
            "0: 256x416 4 fishs, 14.7ms\n",
            "0: 256x416 4 fishs, 16.3ms\n",
            "0: 256x416 4 fishs, 16.7ms\n",
            "0: 256x416 4 fishs, 15.8ms\n",
            "0: 256x416 4 fishs, 14.9ms\n",
            "0: 256x416 4 fishs, 15.3ms\n",
            "0: 256x416 4 fishs, 19.9ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 14.7ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 20.1ms\n",
            "0: 256x416 1 fish, 22.8ms\n",
            "0: 256x416 3 fishs, 14.9ms\n",
            "0: 256x416 3 fishs, 14.7ms\n",
            "0: 256x416 3 fishs, 15.0ms\n",
            "0: 256x416 3 fishs, 16.6ms\n",
            "0: 256x416 3 fishs, 16.4ms\n",
            "0: 256x416 3 fishs, 15.3ms\n",
            "0: 256x416 3 fishs, 14.7ms\n",
            "0: 256x416 3 fishs, 15.7ms\n",
            "0: 256x416 3 fishs, 17.0ms\n",
            "0: 256x416 3 fishs, 18.6ms\n",
            "0: 256x416 1 fish, 17.8ms\n",
            "0: 256x416 2 fishs, 14.9ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 1 fish, 14.8ms\n",
            "0: 256x416 1 fish, 14.5ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 17.1ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 22.1ms\n",
            "0: 256x416 1 fish, 18.5ms\n",
            "0: 256x416 1 fish, 18.1ms\n",
            "0: 256x416 1 fish, 14.4ms\n",
            "0: 256x416 1 fish, 18.2ms\n",
            "0: 256x416 (no detections), 14.5ms\n",
            "0: 256x416 (no detections), 17.9ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 18.4ms\n",
            "0: 256x416 (no detections), 20.4ms\n",
            "0: 256x416 1 fish, 20.8ms\n",
            "0: 256x416 1 fish, 19.1ms\n",
            "0: 256x416 1 fish, 20.3ms\n",
            "0: 256x416 1 fish, 17.2ms\n",
            "0: 256x416 1 shark, 33.4ms\n",
            "0: 256x416 1 fish, 1 shark, 20.4ms\n",
            "0: 256x416 1 fish, 1 shark, 23.0ms\n",
            "0: 256x416 1 fish, 1 shark, 21.3ms\n",
            "0: 256x416 1 fish, 1 shark, 21.8ms\n",
            "0: 256x416 1 fish, 1 shark, 20.6ms\n",
            "0: 256x416 1 fish, 1 shark, 20.4ms\n",
            "0: 256x416 1 fish, 1 shark, 25.4ms\n",
            "0: 256x416 (no detections), 22.3ms\n",
            "0: 256x416 (no detections), 20.4ms\n",
            "0: 256x416 (no detections), 24.5ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 29.3ms\n",
            "0: 256x416 (no detections), 21.2ms\n",
            "0: 256x416 1 shark, 24.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 22.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 23.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 21.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 30.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 1 stingray, 51.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 1 stingray, 46.0ms\n",
            "0: 256x416 1 penguin, 48.3ms\n",
            "0: 256x416 1 shark, 32.5ms\n",
            "0: 256x416 1 shark, 59.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 55.3ms\n",
            "0: 256x416 1 shark, 50.7ms\n",
            "0: 256x416 2 sharks, 32.3ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 2 sharks, 56.0ms\n",
            "0: 256x416 2 sharks, 50.9ms\n",
            "0: 256x416 2 sharks, 78.3ms\n",
            "0: 256x416 2 sharks, 41.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 18.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 19.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 29.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 19.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 18.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 18.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 18.4ms\n",
            "0: 256x416 1 penguin, 2 sharks, 38.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 17.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 20.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 19.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 42.7ms\n",
            "0: 256x416 2 sharks, 18.5ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 20.1ms\n",
            "0: 256x416 2 sharks, 21.1ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 33.3ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.2ms\n",
            "0: 256x416 2 sharks, 34.2ms\n",
            "0: 256x416 2 sharks, 14.3ms\n",
            "0: 256x416 2 sharks, 14.3ms\n",
            "0: 256x416 2 sharks, 19.8ms\n",
            "0: 256x416 2 sharks, 17.3ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 42.5ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 20.1ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 30.7ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 25.0ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 44.3ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 14.0ms\n",
            "0: 256x416 2 sharks, 13.9ms\n",
            "0: 256x416 2 sharks, 22.6ms\n",
            "0: 256x416 2 sharks, 20.4ms\n",
            "0: 256x416 2 sharks, 20.5ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 21.2ms\n",
            "0: 256x416 2 sharks, 21.6ms\n",
            "0: 256x416 2 sharks, 20.5ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 26.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 32.1ms\n",
            "0: 256x416 2 sharks, 21.0ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 18.5ms\n",
            "0: 256x416 2 sharks, 17.7ms\n",
            "0: 256x416 2 sharks, 19.2ms\n",
            "0: 256x416 2 sharks, 24.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.7ms\n",
            "0: 256x416 2 sharks, 28.2ms\n",
            "0: 256x416 2 sharks, 21.2ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 20.8ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 17.5ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 40.8ms\n",
            "0: 256x416 2 sharks, 23.5ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 23.3ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 44.5ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 19.4ms\n",
            "0: 256x416 2 sharks, 17.3ms\n",
            "0: 256x416 2 sharks, 19.3ms\n",
            "0: 256x416 2 sharks, 20.2ms\n",
            "0: 256x416 2 sharks, 43.3ms\n",
            "0: 256x416 1 shark, 28.5ms\n",
            "0: 256x416 1 shark, 43.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 26.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 22.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 25.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 34.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 21.1ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 22.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 21.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 28.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 21.5ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 28.9ms\n",
            "0: 256x416 1 shark, 27.2ms\n",
            "0: 256x416 1 shark, 19.5ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 21.9ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 36.0ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 19.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 (no detections), 14.3ms\n",
            "0: 256x416 (no detections), 14.5ms\n",
            "0: 256x416 (no detections), 35.9ms\n",
            "0: 256x416 (no detections), 14.6ms\n",
            "0: 256x416 (no detections), 14.6ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 16.4ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 41.4ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 14.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 36.3ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.0ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 23.7ms\n",
            "0: 256x416 1 shark, 39.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 19.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 19.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 33.7ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 19.5ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 19.6ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 19.3ms\n",
            "0: 256x416 1 shark, 24.6ms\n",
            "0: 256x416 1 shark, 23.9ms\n",
            "0: 256x416 (no detections), 16.9ms\n",
            "0: 256x416 (no detections), 18.7ms\n",
            "0: 256x416 (no detections), 21.7ms\n",
            "0: 256x416 (no detections), 19.5ms\n",
            "0: 256x416 (no detections), 17.3ms\n",
            "0: 256x416 (no detections), 17.2ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 17.9ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 26.0ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 1 shark, 21.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 34.8ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 19.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 42.7ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 20.0ms\n",
            "0: 256x416 (no detections), 19.7ms\n",
            "0: 256x416 (no detections), 22.0ms\n",
            "0: 256x416 (no detections), 27.7ms\n",
            "0: 256x416 (no detections), 23.2ms\n",
            "0: 256x416 (no detections), 20.0ms\n",
            "0: 256x416 (no detections), 20.3ms\n",
            "0: 256x416 (no detections), 18.3ms\n",
            "0: 256x416 (no detections), 19.6ms\n",
            "0: 256x416 (no detections), 20.3ms\n",
            "0: 256x416 (no detections), 18.9ms\n",
            "0: 256x416 (no detections), 14.8ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 20.7ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 22.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 18.6ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 24.5ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 27.3ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 19.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 19.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 19.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 18.2ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.7ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 17.8ms\n",
            "0: 256x416 (no detections), 18.2ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 1 penguin, 16.6ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.0ms\n",
            "0: 256x416 1 fish, 1 penguin, 16.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.7ms\n",
            "0: 256x416 1 fish, 1 penguin, 14.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 17.0ms\n",
            "0: 256x416 1 penguin, 16.4ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 1 penguin, 16.5ms\n",
            "0: 256x416 1 penguin, 15.1ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 16.9ms\n",
            "0: 256x416 1 penguin, 16.2ms\n",
            "0: 256x416 1 penguin, 15.4ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 17.3ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 22.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 19.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 2 penguins, 1 shark, 19.4ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.0ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.4ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.7ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.7ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.7ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.8ms\n",
            "0: 256x416 2 penguins, 1 shark, 17.7ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.2ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.4ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.8ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 22.1ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.6ms\n",
            "0: 256x416 1 fish, 1 shark, 16.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 18.6ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 16.2ms\n",
            "0: 256x416 1 penguin, 15.6ms\n",
            "0: 256x416 1 penguin, 15.1ms\n",
            "0: 256x416 1 penguin, 14.5ms\n",
            "0: 256x416 1 penguin, 15.3ms\n",
            "0: 256x416 1 penguin, 16.2ms\n",
            "0: 256x416 1 penguin, 15.3ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 18.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 16.7ms\n",
            "0: 256x416 1 penguin, 14.9ms\n",
            "0: 256x416 1 penguin, 14.7ms\n",
            "0: 256x416 1 penguin, 14.7ms\n",
            "0: 256x416 1 penguin, 15.6ms\n",
            "0: 256x416 1 penguin, 17.1ms\n",
            "0: 256x416 1 penguin, 16.9ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 15.4ms\n",
            "0: 256x416 1 penguin, 15.2ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 15.8ms\n",
            "0: 256x416 1 penguin, 15.1ms\n",
            "0: 256x416 1 penguin, 15.6ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 14.9ms\n",
            "0: 256x416 1 penguin, 16.0ms\n",
            "0: 256x416 1 penguin, 17.3ms\n",
            "0: 256x416 1 penguin, 16.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 21.4ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 26.6ms\n",
            "0: 256x416 1 penguin, 14.1ms\n",
            "0: 256x416 1 penguin, 15.4ms\n",
            "0: 256x416 1 penguin, 14.5ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 17.0ms\n",
            "0: 256x416 1 penguin, 16.6ms\n",
            "0: 256x416 1 penguin, 18.8ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 16.8ms\n",
            "0: 256x416 1 penguin, 16.6ms\n",
            "0: 256x416 1 penguin, 16.2ms\n",
            "0: 256x416 1 penguin, 15.1ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 17.3ms\n",
            "0: 256x416 1 shark, 25.8ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 16.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 18.0ms\n",
            "0: 256x416 1 fish, 25.8ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 20.4ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 19.7ms\n",
            "0: 256x416 1 shark, 21.8ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 21.4ms\n",
            "0: 256x416 (no detections), 18.5ms\n",
            "0: 256x416 (no detections), 27.3ms\n",
            "0: 256x416 (no detections), 18.1ms\n",
            "0: 256x416 1 fish, 14.5ms\n",
            "0: 256x416 1 fish, 14.5ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 21.2ms\n",
            "0: 256x416 1 fish, 14.2ms\n",
            "0: 256x416 1 fish, 18.7ms\n",
            "0: 256x416 1 fish, 41.4ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 29.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 21.3ms\n",
            "0: 256x416 1 shark, 21.6ms\n",
            "0: 256x416 1 shark, 20.8ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 20.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 43.6ms\n",
            "0: 256x416 1 shark, 20.5ms\n",
            "0: 256x416 1 shark, 26.7ms\n",
            "0: 256x416 1 shark, 33.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 24.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 21.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 18.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 21.3ms\n",
            "0: 256x416 1 shark, 19.7ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 22.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 42.5ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 31.1ms\n",
            "0: 256x416 (no detections), 26.5ms\n",
            "0: 256x416 (no detections), 19.4ms\n",
            "0: 256x416 (no detections), 19.6ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 22.2ms\n",
            "0: 256x416 (no detections), 42.7ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 14.4ms\n",
            "0: 256x416 1 fish, 16.7ms\n",
            "0: 256x416 1 fish, 21.7ms\n",
            "0: 256x416 1 fish, 19.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 17.3ms\n",
            "0: 256x416 1 fish, 1 shark, 17.6ms\n",
            "0: 256x416 1 fish, 1 shark, 19.2ms\n",
            "0: 256x416 1 fish, 1 shark, 57.1ms\n",
            "0: 256x416 1 fish, 16.9ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 17.7ms\n",
            "0: 256x416 1 fish, 17.3ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 28.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 22.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 20.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 35.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 40.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.5ms\n",
            "0: 256x416 1 fish, 1 shark, 19.0ms\n",
            "0: 256x416 1 fish, 1 shark, 19.5ms\n",
            "0: 256x416 1 fish, 1 shark, 19.2ms\n",
            "0: 256x416 1 fish, 1 shark, 19.3ms\n",
            "0: 256x416 1 shark, 23.8ms\n",
            "0: 256x416 1 shark, 24.8ms\n",
            "0: 256x416 1 shark, 22.9ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 22.6ms\n",
            "0: 256x416 1 fish, 16.2ms\n",
            "0: 256x416 1 fish, 14.5ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 17.4ms\n",
            "0: 256x416 1 fish, 16.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 19.2ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 20.9ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 27.9ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 22.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 19.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 21.1ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 21.0ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 21.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 20.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 22.1ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 35.0ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 18.5ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 17.7ms\n",
            "0: 256x416 (no detections), 17.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 17.7ms\n",
            "0: 256x416 3 sharks, 14.6ms\n",
            "0: 256x416 3 sharks, 14.3ms\n",
            "0: 256x416 3 sharks, 15.6ms\n",
            "0: 256x416 3 sharks, 17.1ms\n",
            "0: 256x416 3 sharks, 16.8ms\n",
            "0: 256x416 3 sharks, 15.8ms\n",
            "0: 256x416 3 sharks, 15.2ms\n",
            "0: 256x416 3 sharks, 26.9ms\n",
            "0: 256x416 1 fish, 3 sharks, 32.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 23.1ms\n",
            "0: 256x416 2 fishs, 3 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 3 sharks, 15.7ms\n",
            "0: 256x416 2 fishs, 3 sharks, 14.6ms\n",
            "0: 256x416 2 fishs, 3 sharks, 16.3ms\n",
            "0: 256x416 2 fishs, 3 sharks, 16.4ms\n",
            "0: 256x416 2 fishs, 3 sharks, 20.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 3 sharks, 24.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.2ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 18.5ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.6ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.1ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.1ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 3 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.7ms\n",
            "0: 256x416 1 fish, 3 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 3 sharks, 16.1ms\n",
            "0: 256x416 1 fish, 3 sharks, 22.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 35.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 31.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 27.0ms\n",
            "0: 256x416 2 sharks, 22.1ms\n",
            "0: 256x416 2 sharks, 23.5ms\n",
            "0: 256x416 2 sharks, 21.6ms\n",
            "0: 256x416 2 sharks, 22.9ms\n",
            "0: 256x416 2 sharks, 18.4ms\n",
            "0: 256x416 2 sharks, 37.5ms\n",
            "0: 256x416 2 sharks, 21.0ms\n",
            "0: 256x416 2 sharks, 34.0ms\n",
            "0: 256x416 2 sharks, 19.1ms\n",
            "0: 256x416 2 sharks, 23.3ms\n",
            "0: 256x416 2 sharks, 19.1ms\n",
            "0: 256x416 2 sharks, 23.0ms\n",
            "0: 256x416 2 sharks, 27.1ms\n",
            "0: 256x416 2 sharks, 21.0ms\n",
            "0: 256x416 2 sharks, 19.9ms\n",
            "0: 256x416 2 sharks, 72.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 26.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 21.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 36.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 25.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 38.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 53.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 19.4ms\n",
            "0: 256x416 1 fish, 2 sharks, 31.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 42.3ms\n",
            "0: 256x416 2 sharks, 57.0ms\n",
            "0: 256x416 2 sharks, 32.2ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 20.6ms\n",
            "0: 256x416 2 sharks, 22.3ms\n",
            "0: 256x416 2 sharks, 24.1ms\n",
            "0: 256x416 2 sharks, 17.6ms\n",
            "0: 256x416 2 sharks, 22.7ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 24.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 20.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 17.1ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 39.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.5ms\n",
            "0: 256x416 1 fish, 2 sharks, 18.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.9ms\n",
            "0: 256x416 1 fish, 2 sharks, 26.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 19.4ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 20.9ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 23.9ms\n",
            "0: 256x416 2 sharks, 20.7ms\n",
            "0: 256x416 2 sharks, 18.6ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 20.0ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 33.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 18.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 14.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 26.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 35.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 32.3ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 18.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 17.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.3ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.5ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.3ms\n",
            "0: 256x416 2 fishs, 2 sharks, 14.7ms\n",
            "0: 256x416 2 fishs, 2 sharks, 16.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.1ms\n",
            "0: 256x416 2 fishs, 2 sharks, 24.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 21.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 14.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 15.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 15.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 1 starfish, 15.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 27.2ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 20.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 15.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 21.4ms\n",
            "0: 256x416 2 fishs, 2 sharks, 19.9ms\n",
            "0: 256x416 2 fishs, 2 sharks, 19.1ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 16.8ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 16.5ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 14.6ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 23.2ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 20.5ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 20.8ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 15.5ms\n",
            "0: 256x416 3 fishs, 2 sharks, 1 starfish, 19.8ms\n",
            "0: 256x416 3 fishs, 2 sharks, 21.1ms\n",
            "0: 256x416 3 fishs, 2 sharks, 18.9ms\n",
            "0: 256x416 3 fishs, 2 sharks, 21.6ms\n",
            "0: 256x416 3 fishs, 2 sharks, 18.5ms\n",
            "0: 256x416 3 fishs, 2 sharks, 17.0ms\n",
            "0: 256x416 3 fishs, 2 sharks, 33.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.8ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 17.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 29.7ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.3ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 33.1ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 21.0ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 38.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 21.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 34.0ms\n",
            "0: 256x416 1 shark, 20.0ms\n",
            "0: 256x416 1 shark, 23.1ms\n",
            "0: 256x416 1 shark, 19.6ms\n",
            "0: 256x416 1 shark, 20.5ms\n",
            "0: 256x416 1 shark, 19.7ms\n",
            "0: 256x416 1 shark, 30.8ms\n",
            "0: 256x416 1 shark, 22.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 24.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.4ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.1ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 1 stingray, 15.6ms\n",
            "0: 256x416 2 sharks, 1 stingray, 17.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 20.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 19.5ms\n",
            "0: 256x416 1 stingray, 16.0ms\n",
            "0: 256x416 1 stingray, 15.4ms\n",
            "0: 256x416 2 stingrays, 15.4ms\n",
            "0: 256x416 2 stingrays, 14.8ms\n",
            "0: 256x416 2 stingrays, 16.1ms\n",
            "0: 256x416 2 stingrays, 16.1ms\n",
            "0: 256x416 2 stingrays, 15.4ms\n",
            "0: 256x416 2 stingrays, 15.0ms\n",
            "0: 256x416 2 stingrays, 15.6ms\n",
            "0: 256x416 2 stingrays, 16.7ms\n",
            "0: 256x416 2 stingrays, 16.3ms\n",
            "0: 256x416 2 stingrays, 16.6ms\n",
            "0: 256x416 2 stingrays, 15.1ms\n",
            "0: 256x416 2 stingrays, 16.7ms\n",
            "0: 256x416 2 stingrays, 16.5ms\n",
            "0: 256x416 2 stingrays, 15.3ms\n",
            "0: 256x416 2 stingrays, 14.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 17.6ms\n",
            "0: 256x416 1 shark, 1 stingray, 14.4ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.0ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.5ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.9ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 16.8ms\n",
            "0: 256x416 1 stingray, 15.0ms\n",
            "0: 256x416 1 stingray, 15.9ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 stingray, 14.8ms\n",
            "0: 256x416 1 stingray, 15.2ms\n",
            "0: 256x416 1 stingray, 16.2ms\n",
            "0: 256x416 1 stingray, 17.3ms\n",
            "0: 256x416 1 stingray, 16.6ms\n",
            "0: 256x416 1 stingray, 15.3ms\n",
            "0: 256x416 1 shark, 1 stingray, 15.9ms\n",
            "0: 256x416 1 stingray, 15.2ms\n",
            "0: 256x416 1 stingray, 16.4ms\n",
            "0: 256x416 1 stingray, 16.4ms\n",
            "0: 256x416 1 stingray, 15.1ms\n",
            "0: 256x416 1 stingray, 14.7ms\n",
            "0: 256x416 1 stingray, 15.9ms\n",
            "0: 256x416 1 stingray, 17.1ms\n",
            "0: 256x416 1 stingray, 16.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 21.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 27.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 21.5ms\n",
            "0: 256x416 2 sharks, 1 stingray, 14.7ms\n",
            "0: 256x416 2 sharks, 1 stingray, 14.4ms\n",
            "0: 256x416 2 sharks, 1 stingray, 16.1ms\n",
            "0: 256x416 2 sharks, 1 stingray, 15.6ms\n",
            "0: 256x416 2 sharks, 1 stingray, 14.9ms\n",
            "0: 256x416 2 sharks, 1 stingray, 15.6ms\n",
            "0: 256x416 2 sharks, 1 stingray, 16.7ms\n",
            "0: 256x416 2 sharks, 1 stingray, 16.2ms\n",
            "0: 256x416 1 shark, 1 stingray, 22.9ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 24.1ms\n",
            "0: 256x416 1 stingray, 16.3ms\n",
            "0: 256x416 1 fish, 14.4ms\n",
            "0: 256x416 1 fish, 19.7ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 16.0ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 16.5ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 16.5ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 16.4ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 16.7ms\n",
            "0: 256x416 1 fish, 16.5ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 17.0ms\n",
            "0: 256x416 (no detections), 16.8ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 26.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 18.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 19.1ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 14.5ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 17.7ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 17.3ms\n",
            "0: 256x416 (no detections), 19.5ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 1 shark, 29.3ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 18.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 18.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 14.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 16.0ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 16.3ms\n",
            "0: 256x416 1 fish, 16.2ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 17.3ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 20.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 23.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 28.1ms\n",
            "0: 256x416 1 fish, 1 shark, 20.6ms\n",
            "0: 256x416 1 fish, 1 shark, 18.6ms\n",
            "0: 256x416 1 fish, 1 shark, 33.0ms\n",
            "0: 256x416 (no detections), 17.9ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 21.1ms\n",
            "0: 256x416 (no detections), 23.4ms\n",
            "0: 256x416 (no detections), 19.6ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 36.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 14.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 20.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.7ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 17.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 42.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 44.9ms\n",
            "0: 256x416 1 puffin, 14.2ms\n",
            "0: 256x416 1 puffin, 14.6ms\n",
            "0: 256x416 1 puffin, 14.8ms\n",
            "0: 256x416 1 puffin, 20.2ms\n",
            "0: 256x416 1 puffin, 15.2ms\n",
            "0: 256x416 1 puffin, 15.8ms\n",
            "0: 256x416 1 puffin, 16.4ms\n",
            "0: 256x416 1 puffin, 15.4ms\n",
            "0: 256x416 1 puffin, 15.1ms\n",
            "0: 256x416 1 puffin, 15.8ms\n",
            "0: 256x416 1 puffin, 23.9ms\n",
            "0: 256x416 1 puffin, 37.8ms\n",
            "0: 256x416 1 fish, 21.7ms\n",
            "0: 256x416 1 fish, 20.0ms\n",
            "0: 256x416 1 fish, 20.8ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 20.1ms\n",
            "0: 256x416 1 fish, 21.0ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 21.0ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 40.6ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 37.3ms\n",
            "0: 256x416 1 penguin, 14.6ms\n",
            "0: 256x416 1 penguin, 14.9ms\n",
            "0: 256x416 1 penguin, 16.9ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 14.8ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 16.1ms\n",
            "0: 256x416 1 penguin, 15.7ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 18.4ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 14.3ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 18.6ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 19.9ms\n",
            "0: 256x416 1 fish, 1 shark, 27.0ms\n",
            "0: 256x416 (no detections), 20.5ms\n",
            "0: 256x416 (no detections), 16.4ms\n",
            "0: 256x416 (no detections), 20.0ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 36.5ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 17.6ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 22.7ms\n",
            "0: 256x416 1 fish, 1 shark, 23.6ms\n",
            "0: 256x416 1 fish, 1 shark, 21.8ms\n",
            "0: 256x416 1 fish, 1 shark, 22.1ms\n",
            "0: 256x416 1 fish, 1 shark, 23.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 18.0ms\n",
            "0: 256x416 1 fish, 1 shark, 20.3ms\n",
            "0: 256x416 1 fish, 1 shark, 19.8ms\n",
            "0: 256x416 1 fish, 1 shark, 20.3ms\n",
            "0: 256x416 1 fish, 1 shark, 37.3ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 20.5ms\n",
            "0: 256x416 1 shark, 23.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 21.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 19.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 18.7ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 26.6ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.5ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 18.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 23.4ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 21.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 17.2ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 27.4ms\n",
            "0: 256x416 2 sharks, 17.4ms\n",
            "0: 256x416 2 sharks, 19.4ms\n",
            "0: 256x416 2 sharks, 19.7ms\n",
            "0: 256x416 2 sharks, 19.8ms\n",
            "0: 256x416 2 sharks, 27.9ms\n",
            "0: 256x416 2 sharks, 20.5ms\n",
            "0: 256x416 1 penguin, 23.2ms\n",
            "0: 256x416 1 penguin, 26.1ms\n",
            "0: 256x416 1 penguin, 14.1ms\n",
            "0: 256x416 1 penguin, 14.0ms\n",
            "0: 256x416 1 penguin, 14.6ms\n",
            "0: 256x416 1 penguin, 15.7ms\n",
            "0: 256x416 1 penguin, 17.1ms\n",
            "0: 256x416 1 penguin, 23.5ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 17.8ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 19.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.4ms\n",
            "0: 256x416 1 penguin, 2 sharks, 17.4ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.7ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.2ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 23.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.3ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 25.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 21.2ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 22.2ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 17.6ms\n",
            "0: 256x416 1 fish, 1 penguin, 14.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 14.3ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 17.0ms\n",
            "0: 256x416 1 fish, 1 penguin, 16.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 26.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 19.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 20.6ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.1ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.8ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.9ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.2ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.3ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 14.4ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 19.1ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 22.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 14.6ms\n",
            "0: 256x416 1 fish, 1 shark, 30.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.9ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 19.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 19.4ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.4ms\n",
            "0: 256x416 1 fish, 1 shark, 18.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 (no detections), 16.8ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.7ms\n",
            "0: 256x416 (no detections), 17.3ms\n",
            "0: 256x416 (no detections), 16.9ms\n",
            "0: 256x416 (no detections), 16.4ms\n",
            "0: 256x416 (no detections), 27.3ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 21.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.9ms\n",
            "0: 256x416 1 fish, 15.7ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 18.6ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 16.4ms\n",
            "0: 256x416 1 fish, 17.2ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 15.8ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 15.9ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 15.6ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 16.0ms\n",
            "0: 256x416 1 fish, 15.0ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 18.6ms\n",
            "0: 256x416 1 fish, 1 penguin, 15.7ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.3ms\n",
            "0: 256x416 3 fishs, 1 penguin, 14.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 14.4ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 17.0ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.2ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.2ms\n",
            "0: 256x416 4 fishs, 16.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 23.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.5ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.7ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 16.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 20.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 17.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 28.9ms\n",
            "0: 256x416 2 fishs, 14.5ms\n",
            "0: 256x416 2 fishs, 15.0ms\n",
            "0: 256x416 2 fishs, 15.9ms\n",
            "0: 256x416 2 fishs, 16.4ms\n",
            "0: 256x416 2 fishs, 15.0ms\n",
            "0: 256x416 2 fishs, 15.6ms\n",
            "0: 256x416 2 fishs, 17.0ms\n",
            "0: 256x416 2 fishs, 16.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 18.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.9ms\n",
            "0: 256x416 3 fishs, 1 penguin, 14.9ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.4ms\n",
            "0: 256x416 3 fishs, 1 penguin, 14.6ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.7ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.4ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.2ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.8ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.5ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.1ms\n",
            "0: 256x416 3 fishs, 1 penguin, 15.1ms\n",
            "0: 256x416 3 fishs, 1 penguin, 16.5ms\n",
            "0: 256x416 3 fishs, 16.2ms\n",
            "0: 256x416 2 fishs, 15.0ms\n",
            "0: 256x416 2 fishs, 15.6ms\n",
            "0: 256x416 2 fishs, 17.9ms\n",
            "0: 256x416 2 fishs, 19.2ms\n",
            "0: 256x416 2 fishs, 20.1ms\n",
            "0: 256x416 3 fishs, 41.6ms\n",
            "0: 256x416 2 fishs, 18.0ms\n",
            "0: 256x416 2 fishs, 15.3ms\n",
            "0: 256x416 2 fishs, 14.1ms\n",
            "0: 256x416 2 fishs, 19.2ms\n",
            "0: 256x416 2 fishs, 19.9ms\n",
            "0: 256x416 2 fishs, 15.5ms\n",
            "0: 256x416 2 fishs, 16.9ms\n",
            "0: 256x416 2 fishs, 17.8ms\n",
            "0: 256x416 2 fishs, 14.4ms\n",
            "0: 256x416 2 fishs, 14.5ms\n",
            "0: 256x416 2 fishs, 15.0ms\n",
            "0: 256x416 2 fishs, 16.1ms\n",
            "0: 256x416 2 fishs, 15.1ms\n",
            "0: 256x416 2 fishs, 15.2ms\n",
            "0: 256x416 2 fishs, 18.2ms\n",
            "0: 256x416 2 fishs, 15.3ms\n",
            "0: 256x416 2 fishs, 18.4ms\n",
            "0: 256x416 2 fishs, 17.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.1ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.5ms\n",
            "0: 256x416 2 penguins, 1 shark, 16.0ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.6ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.1ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.5ms\n",
            "0: 256x416 2 penguins, 1 shark, 14.9ms\n",
            "0: 256x416 2 penguins, 1 shark, 17.9ms\n",
            "0: 256x416 2 penguins, 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 27.1ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 22.0ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 25.0ms\n",
            "0: 256x416 1 shark, 54.0ms\n",
            "0: 256x416 1 shark, 22.5ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 1 stingray, 21.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 17.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.2ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.5ms\n",
            "0: 256x416 1 penguin, 2 sharks, 36.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.2ms\n",
            "0: 256x416 1 fish, 1 shark, 18.1ms\n",
            "0: 256x416 1 fish, 1 shark, 18.5ms\n",
            "0: 256x416 1 fish, 1 shark, 17.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.5ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 14.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 22.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 38.5ms\n",
            "0: 256x416 2 sharks, 18.7ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 18.9ms\n",
            "0: 256x416 2 sharks, 19.4ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 22.9ms\n",
            "0: 256x416 1 penguin, 2 sharks, 19.3ms\n",
            "0: 256x416 1 penguin, 2 sharks, 19.8ms\n",
            "0: 256x416 1 penguin, 2 sharks, 14.4ms\n",
            "0: 256x416 1 fish, 26.5ms\n",
            "0: 256x416 (no detections), 22.4ms\n",
            "0: 256x416 (no detections), 18.8ms\n",
            "0: 256x416 (no detections), 22.4ms\n",
            "0: 256x416 (no detections), 34.4ms\n",
            "0: 256x416 (no detections), 20.3ms\n",
            "0: 256x416 (no detections), 20.1ms\n",
            "0: 256x416 1 fish, 23.7ms\n",
            "0: 256x416 1 fish, 1 shark, 15.9ms\n",
            "0: 256x416 1 fish, 1 shark, 18.9ms\n",
            "0: 256x416 1 fish, 1 shark, 16.6ms\n",
            "0: 256x416 1 fish, 1 shark, 19.7ms\n",
            "0: 256x416 1 fish, 36.5ms\n",
            "0: 256x416 1 fish, 18.2ms\n",
            "0: 256x416 1 fish, 53.7ms\n",
            "0: 256x416 1 fish, 32.9ms\n",
            "0: 256x416 1 fish, 56.9ms\n",
            "0: 256x416 1 fish, 16.4ms\n",
            "0: 256x416 1 fish, 45.1ms\n",
            "0: 256x416 1 fish, 36.9ms\n",
            "0: 256x416 1 fish, 56.5ms\n",
            "0: 256x416 3 fishs, 38.3ms\n",
            "0: 256x416 3 fishs, 43.4ms\n",
            "0: 256x416 2 fishs, 69.0ms\n",
            "0: 256x416 2 fishs, 74.3ms\n",
            "0: 256x416 2 fishs, 30.6ms\n",
            "0: 256x416 2 fishs, 19.8ms\n",
            "0: 256x416 2 fishs, 19.2ms\n",
            "0: 256x416 2 fishs, 42.7ms\n",
            "0: 256x416 2 fishs, 16.4ms\n",
            "0: 256x416 2 fishs, 16.7ms\n",
            "0: 256x416 2 fishs, 51.2ms\n",
            "0: 256x416 2 fishs, 28.5ms\n",
            "0: 256x416 2 fishs, 49.0ms\n",
            "0: 256x416 2 fishs, 20.1ms\n",
            "0: 256x416 2 fishs, 44.1ms\n",
            "0: 256x416 1 fish, 16.9ms\n",
            "0: 256x416 1 fish, 69.1ms\n",
            "0: 256x416 1 fish, 23.3ms\n",
            "0: 256x416 1 fish, 20.3ms\n",
            "0: 256x416 1 fish, 16.2ms\n",
            "0: 256x416 1 fish, 35.4ms\n",
            "0: 256x416 1 fish, 37.1ms\n",
            "0: 256x416 1 fish, 26.6ms\n",
            "0: 256x416 2 fishs, 18.0ms\n",
            "0: 256x416 2 fishs, 20.3ms\n",
            "0: 256x416 2 fishs, 17.1ms\n",
            "0: 256x416 2 fishs, 16.8ms\n",
            "0: 256x416 2 fishs, 16.7ms\n",
            "0: 256x416 2 fishs, 16.7ms\n",
            "0: 256x416 2 fishs, 17.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 19.3ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 19.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 22.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 21.6ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 16.9ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 17.3ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 16.6ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.0ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.1ms\n",
            "0: 256x416 1 penguin, 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.5ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 18.1ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.8ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 18.3ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 14.7ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 2 sharks, 17.1ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.0ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.6ms\n",
            "0: 256x416 1 fish, 2 sharks, 16.2ms\n",
            "0: 256x416 1 fish, 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 17.5ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 16.9ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 19.5ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.4ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 18.6ms\n",
            "0: 256x416 2 sharks, 19.4ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 16.1ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.3ms\n",
            "0: 256x416 2 sharks, 21.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 22.9ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 17.5ms\n",
            "0: 256x416 2 sharks, 15.1ms\n",
            "0: 256x416 2 sharks, 14.5ms\n",
            "0: 256x416 2 sharks, 17.9ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 17.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 19.4ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 14.3ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 17.1ms\n",
            "0: 256x416 2 sharks, 16.7ms\n",
            "0: 256x416 2 sharks, 15.4ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 18.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 20.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 24.0ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 22.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 23.7ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 21.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 22.0ms\n",
            "0: 256x416 1 shark, 18.2ms\n",
            "0: 256x416 1 shark, 27.9ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 (no detections), 23.4ms\n",
            "0: 256x416 (no detections), 14.8ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 22.1ms\n",
            "0: 256x416 (no detections), 18.6ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 34.3ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 (no detections), 14.5ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 30.2ms\n",
            "0: 256x416 1 shark, 20.8ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 22.0ms\n",
            "0: 256x416 1 shark, 39.2ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 13.9ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 21.9ms\n",
            "0: 256x416 (no detections), 16.8ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 23.7ms\n",
            "0: 256x416 (no detections), 20.0ms\n",
            "0: 256x416 (no detections), 16.9ms\n",
            "0: 256x416 (no detections), 41.2ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 24.6ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 24.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 23.0ms\n",
            "0: 256x416 1 shark, 14.0ms\n",
            "0: 256x416 1 shark, 20.3ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 56.7ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 13.8ms\n",
            "0: 256x416 1 shark, 20.3ms\n",
            "0: 256x416 1 shark, 21.8ms\n",
            "0: 256x416 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 20.7ms\n",
            "0: 256x416 1 shark, 20.4ms\n",
            "0: 256x416 1 shark, 18.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 19.5ms\n",
            "0: 256x416 1 shark, 23.6ms\n",
            "0: 256x416 1 shark, 26.9ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 19.2ms\n",
            "0: 256x416 1 shark, 26.8ms\n",
            "0: 256x416 1 shark, 32.2ms\n",
            "0: 256x416 1 shark, 22.4ms\n",
            "0: 256x416 1 shark, 22.2ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 35.5ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 23.1ms\n",
            "0: 256x416 1 shark, 18.3ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 26.1ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.7ms\n",
            "0: 256x416 1 shark, 32.1ms\n",
            "0: 256x416 1 shark, 24.7ms\n",
            "0: 256x416 1 shark, 21.3ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 23.8ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 40.1ms\n",
            "0: 256x416 1 shark, 22.4ms\n",
            "0: 256x416 1 shark, 21.8ms\n",
            "0: 256x416 1 shark, 22.1ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 21.3ms\n",
            "0: 256x416 1 shark, 43.1ms\n",
            "0: 256x416 1 shark, 19.4ms\n",
            "0: 256x416 1 shark, 13.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 18.2ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 20.2ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 (no detections), 22.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 19.9ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 2 sharks, 18.5ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 14.4ms\n",
            "0: 256x416 1 penguin, 16.0ms\n",
            "0: 256x416 1 penguin, 16.7ms\n",
            "0: 256x416 1 penguin, 16.2ms\n",
            "0: 256x416 1 penguin, 15.5ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 17.1ms\n",
            "0: 256x416 1 fish, 17.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 2 sharks, 16.0ms\n",
            "0: 256x416 2 sharks, 15.7ms\n",
            "0: 256x416 2 sharks, 14.8ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.6ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 19.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.4ms\n",
            "0: 256x416 2 sharks, 15.8ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.0ms\n",
            "0: 256x416 2 sharks, 16.6ms\n",
            "0: 256x416 2 sharks, 15.3ms\n",
            "0: 256x416 2 sharks, 14.9ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 17.0ms\n",
            "0: 256x416 2 sharks, 16.9ms\n",
            "0: 256x416 2 sharks, 15.9ms\n",
            "0: 256x416 2 sharks, 16.2ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 15.5ms\n",
            "0: 256x416 2 sharks, 14.6ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 17.3ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 14.7ms\n",
            "0: 256x416 2 sharks, 15.2ms\n",
            "0: 256x416 2 sharks, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.6ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 19.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.1ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.8ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.3ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 17.0ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.2ms\n",
            "0: 256x416 1 penguin, 1 shark, 25.6ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 14.3ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 19.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 21.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 19.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 16.7ms\n",
            "0: 256x416 2 fishs, 15.8ms\n",
            "0: 256x416 2 fishs, 14.9ms\n",
            "0: 256x416 2 fishs, 16.1ms\n",
            "0: 256x416 2 fishs, 17.0ms\n",
            "0: 256x416 2 fishs, 17.0ms\n",
            "0: 256x416 2 fishs, 15.2ms\n",
            "0: 256x416 2 fishs, 16.8ms\n",
            "0: 256x416 2 fishs, 19.6ms\n",
            "0: 256x416 2 fishs, 15.4ms\n",
            "0: 256x416 2 fishs, 16.1ms\n",
            "0: 256x416 2 fishs, 17.0ms\n",
            "0: 256x416 2 fishs, 20.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.9ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.3ms\n",
            "0: 256x416 2 fishs, 1 shark, 16.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.0ms\n",
            "0: 256x416 1 fish, 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 1 shark, 18.8ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.0ms\n",
            "0: 256x416 1 fish, 1 shark, 18.8ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 14.7ms\n",
            "0: 256x416 1 fish, 1 shark, 16.6ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 shark, 20.7ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 20.6ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 14.6ms\n",
            "0: 256x416 (no detections), 14.9ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 17.1ms\n",
            "0: 256x416 1 fish, 16.6ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 17.9ms\n",
            "0: 256x416 1 fish, 16.8ms\n",
            "0: 256x416 1 fish, 21.1ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 16.2ms\n",
            "0: 256x416 1 fish, 15.5ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 16.1ms\n",
            "0: 256x416 1 fish, 17.0ms\n",
            "0: 256x416 1 fish, 16.4ms\n",
            "0: 256x416 1 fish, 15.3ms\n",
            "0: 256x416 1 fish, 15.2ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 17.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 fish, 1 shark, 15.8ms\n",
            "0: 256x416 1 fish, 1 shark, 14.9ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 17.0ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.3ms\n",
            "0: 256x416 1 fish, 1 shark, 15.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.3ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 16.2ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 17.2ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 25.2ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 29.2ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 17.3ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 14.4ms\n",
            "0: 256x416 (no detections), 15.5ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 17.3ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 (no detections), 22.7ms\n",
            "0: 256x416 1 fish, 1 shark, 20.1ms\n",
            "0: 256x416 1 fish, 1 shark, 23.9ms\n",
            "0: 256x416 1 fish, 1 shark, 14.1ms\n",
            "0: 256x416 1 fish, 1 shark, 15.5ms\n",
            "0: 256x416 1 fish, 1 shark, 17.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.5ms\n",
            "0: 256x416 1 fish, 1 shark, 15.4ms\n",
            "0: 256x416 1 fish, 1 shark, 15.1ms\n",
            "0: 256x416 1 fish, 1 shark, 16.8ms\n",
            "0: 256x416 1 fish, 1 shark, 16.7ms\n",
            "0: 256x416 1 fish, 1 shark, 21.6ms\n",
            "0: 256x416 1 fish, 1 shark, 18.1ms\n",
            "0: 256x416 1 fish, 26.2ms\n",
            "0: 256x416 1 fish, 16.7ms\n",
            "0: 256x416 1 fish, 20.4ms\n",
            "0: 256x416 1 fish, 17.3ms\n",
            "0: 256x416 1 fish, 18.2ms\n",
            "0: 256x416 1 fish, 15.4ms\n",
            "0: 256x416 1 fish, 14.5ms\n",
            "0: 256x416 1 fish, 36.7ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 (no detections), 14.6ms\n",
            "0: 256x416 (no detections), 16.4ms\n",
            "0: 256x416 (no detections), 16.2ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 29.7ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 28.0ms\n",
            "0: 256x416 1 shark, 18.8ms\n",
            "0: 256x416 1 shark, 16.9ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.7ms\n",
            "0: 256x416 2 fishs, 1 shark, 14.4ms\n",
            "0: 256x416 2 fishs, 1 shark, 15.2ms\n",
            "0: 256x416 2 fishs, 1 shark, 22.6ms\n",
            "0: 256x416 2 fishs, 1 shark, 17.8ms\n",
            "0: 256x416 2 fishs, 1 shark, 21.4ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 20.4ms\n",
            "0: 256x416 1 shark, 17.9ms\n",
            "0: 256x416 1 shark, 23.5ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 18.5ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 34.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 14.2ms\n",
            "0: 256x416 1 penguin, 18.7ms\n",
            "0: 256x416 1 penguin, 17.9ms\n",
            "0: 256x416 1 penguin, 15.0ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 15.6ms\n",
            "0: 256x416 1 penguin, 17.9ms\n",
            "0: 256x416 1 penguin, 15.2ms\n",
            "0: 256x416 1 penguin, 16.3ms\n",
            "0: 256x416 1 penguin, 15.8ms\n",
            "0: 256x416 1 penguin, 17.5ms\n",
            "0: 256x416 1 penguin, 15.4ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 14.3ms\n",
            "0: 256x416 1 fish, 14.9ms\n",
            "0: 256x416 1 fish, 14.6ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 21.4ms\n",
            "0: 256x416 1 fish, 15.1ms\n",
            "0: 256x416 1 fish, 39.5ms\n",
            "0: 256x416 (no detections), 14.0ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 43.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 21.5ms\n",
            "0: 256x416 1 penguin, 1 shark, 15.6ms\n",
            "0: 256x416 1 penguin, 1 shark, 23.7ms\n",
            "0: 256x416 1 penguin, 1 shark, 22.4ms\n",
            "0: 256x416 1 penguin, 1 shark, 16.9ms\n",
            "0: 256x416 1 penguin, 1 shark, 38.8ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 14.2ms\n",
            "0: 256x416 1 shark, 25.2ms\n",
            "0: 256x416 1 shark, 24.0ms\n",
            "0: 256x416 1 shark, 19.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 14.7ms\n",
            "0: 256x416 1 shark, 26.1ms\n",
            "0: 256x416 1 shark, 20.7ms\n",
            "0: 256x416 1 shark, 21.6ms\n",
            "0: 256x416 1 shark, 19.8ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 28.2ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.7ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 23.9ms\n",
            "0: 256x416 1 shark, 28.4ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 18.8ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 43.9ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 18.0ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 21.0ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 17.5ms\n",
            "0: 256x416 1 shark, 19.8ms\n",
            "0: 256x416 1 shark, 20.6ms\n",
            "0: 256x416 1 shark, 22.2ms\n",
            "0: 256x416 1 shark, 44.2ms\n",
            "0: 256x416 1 shark, 19.3ms\n",
            "0: 256x416 1 shark, 21.8ms\n",
            "0: 256x416 1 shark, 20.6ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.3ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 20.2ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 18.4ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 17.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.4ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 23.0ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.8ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.7ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 16.2ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 19.0ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 16.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 15.3ms\n",
            "0: 256x416 1 shark, 41.4ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.1ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 44.3ms\n",
            "0: 256x416 1 shark, 30.9ms\n",
            "0: 256x416 1 shark, 27.2ms\n",
            "0: 256x416 1 shark, 14.5ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 14.4ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 17.4ms\n",
            "0: 256x416 1 shark, 16.3ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 17.1ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 15.1ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.9ms\n",
            "0: 256x416 1 shark, 16.6ms\n",
            "0: 256x416 1 shark, 17.0ms\n",
            "0: 256x416 1 shark, 16.5ms\n",
            "0: 256x416 1 shark, 15.4ms\n",
            "0: 256x416 1 shark, 18.9ms\n",
            "0: 256x416 1 shark, 18.7ms\n",
            "0: 256x416 1 shark, 14.6ms\n",
            "0: 256x416 1 shark, 15.8ms\n",
            "0: 256x416 1 shark, 15.2ms\n",
            "0: 256x416 1 shark, 21.8ms\n",
            "0: 256x416 1 shark, 19.9ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.9ms\n",
            "0: 256x416 1 shark, 16.0ms\n",
            "0: 256x416 1 shark, 15.6ms\n",
            "0: 256x416 1 shark, 15.0ms\n",
            "0: 256x416 1 shark, 14.8ms\n",
            "0: 256x416 1 shark, 15.5ms\n",
            "0: 256x416 1 shark, 18.1ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "WARNING ⚠️ Video stream unresponsive, please check your IP camera connection.\n",
            "0: 256x416 (no detections), 21.8ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 14.7ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 16.0ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 16.6ms\n",
            "0: 256x416 (no detections), 15.7ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.0ms\n",
            "0: 256x416 (no detections), 14.8ms\n",
            "0: 256x416 (no detections), 14.8ms\n",
            "0: 256x416 (no detections), 15.1ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.2ms\n",
            "0: 256x416 (no detections), 15.3ms\n",
            "0: 256x416 (no detections), 15.4ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 18.1ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 (no detections), 17.5ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 20.9ms\n",
            "0: 256x416 (no detections), 15.6ms\n",
            "0: 256x416 (no detections), 16.5ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 17.8ms\n",
            "0: 256x416 (no detections), 20.2ms\n",
            "0: 256x416 (no detections), 15.9ms\n",
            "0: 256x416 (no detections), 16.1ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 16.8ms\n",
            "0: 256x416 (no detections), 16.8ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 18.2ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 19.7ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 19.3ms\n",
            "0: 256x416 (no detections), 18.0ms\n",
            "0: 256x416 (no detections), 17.2ms\n",
            "0: 256x416 (no detections), 23.1ms\n",
            "0: 256x416 (no detections), 16.9ms\n",
            "0: 256x416 (no detections), 19.8ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 19.0ms\n",
            "0: 256x416 (no detections), 16.3ms\n",
            "0: 256x416 (no detections), 17.4ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 18.7ms\n",
            "0: 256x416 (no detections), 16.7ms\n",
            "0: 256x416 (no detections), 18.5ms\n",
            "0: 256x416 (no detections), 23.7ms\n",
            "0: 256x416 (no detections), 18.9ms\n",
            "0: 256x416 (no detections), 17.1ms\n",
            "0: 256x416 (no detections), 24.2ms\n",
            "0: 256x416 (no detections), 37.8ms\n",
            "0: 256x416 (no detections), 36.6ms\n",
            "0: 256x416 (no detections), 17.6ms\n",
            "0: 256x416 (no detections), 20.0ms\n",
            "0: 256x416 (no detections), 23.1ms\n",
            "0: 256x416 (no detections), 21.8ms\n",
            "0: 256x416 (no detections), 20.9ms\n",
            "0: 256x416 (no detections), 36.8ms\n",
            "0: 256x416 (no detections), 15.8ms\n",
            "0: 256x416 (no detections), 17.0ms\n",
            "0: 256x416 (no detections), 30.8ms\n",
            "0: 256x416 (no detections), 33.6ms\n",
            "0: 256x416 (no detections), 19.6ms\n",
            "0: 256x416 (no detections), 19.9ms\n",
            "0: 256x416 (no detections), 25.7ms\n",
            "0: 256x416 (no detections), 22.7ms\n",
            "0: 256x416 (no detections), 24.3ms\n",
            "0: 256x416 (no detections), 27.9ms\n",
            "0: 256x416 (no detections), 21.4ms\n",
            "0: 256x416 (no detections), 22.3ms\n",
            "0: 256x416 (no detections), 22.8ms\n",
            "0: 256x416 (no detections), 26.6ms\n",
            "0: 256x416 (no detections), 36.6ms\n",
            "0: 256x416 (no detections), 21.5ms\n",
            "0: 256x416 (no detections), 19.4ms\n",
            "0: 256x416 (no detections), 18.2ms\n",
            "0: 256x416 (no detections), 19.7ms\n",
            "0: 256x416 (no detections), 24.5ms\n",
            "0: 256x416 (no detections), 21.1ms\n",
            "0: 256x416 (no detections), 21.2ms\n",
            "Speed: 0.3ms pre-process, 17.2ms inference, 1.3ms NMS per image at shape (1, 3, 416, 416)\n",
            "Results saved to \u001b[1myolov5/runs/detect/exp2\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "tracking objects"
      ],
      "metadata": {
        "id": "NvNMrLaBmqOH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install --force-reinstall torch==1.10 torchvision"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-e2b2qPDmgH9",
        "outputId": "a3f398c0-b16d-426d-ef22-639eeba654be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[31mERROR: Could not find a version that satisfies the requirement torch==1.10 (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0)\u001b[0m\u001b[31m\n",
            "\u001b[0m\u001b[31mERROR: No matching distribution found for torch==1.10\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/roboflow-ai/zero-shot-object-tracking"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rlKxop4zm31z",
        "outputId": "3e9ffaff-fe96-4e98-e6be-3d65fa4f6cf1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'zero-shot-object-tracking'...\n",
            "remote: Enumerating objects: 522, done.\u001b[K\n",
            "remote: Counting objects: 100% (9/9), done.\u001b[K\n",
            "remote: Compressing objects: 100% (8/8), done.\u001b[K\n",
            "remote: Total 522 (delta 1), reused 9 (delta 1), pack-reused 513\u001b[K\n",
            "Receiving objects: 100% (522/522), 88.05 MiB | 18.77 MiB/s, done.\n",
            "Resolving deltas: 100% (227/227), done.\n",
            "Updating files: 100% (85/85), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%ls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AJW_mWmMm-oe",
        "outputId": "b6dbfc32-fb3c-4358-f512-347cded9891b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[0m\u001b[01;34mdrive\u001b[0m/  fish.mp4  \u001b[01;34msample_data\u001b[0m/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/drive/MyDrive/fish_tracking/zero-shot-object-tracking"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LioBvDQonHSr",
        "outputId": "249af2f2-49ca-4fbb-a219-a6cfc1368f97"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/fish_tracking/zero-shot-object-tracking\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#You need to follow the authentication link to view the video\n",
        "!pip install -U kora"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wliAIJ1znXCV",
        "outputId": "0eaaa9a5-386e-494c-f286-7399192ba9f5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting kora\n",
            "  Downloading kora-0.9.20-py3-none-any.whl (57 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.7/57.7 kB\u001b[0m \u001b[31m1.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: ipython in /usr/local/lib/python3.10/dist-packages (from kora) (7.34.0)\n",
            "Requirement already satisfied: fastcore in /usr/local/lib/python3.10/dist-packages (from kora) (1.5.33)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from fastcore->kora) (24.0)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (67.7.2)\n",
            "Collecting jedi>=0.16 (from ipython->kora)\n",
            "  Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m9.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (4.4.2)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (0.7.5)\n",
            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (5.7.1)\n",
            "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (3.0.43)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (2.16.1)\n",
            "Requirement already satisfied: backcall in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (0.2.0)\n",
            "Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (0.1.7)\n",
            "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.10/dist-packages (from ipython->kora) (4.9.0)\n",
            "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /usr/local/lib/python3.10/dist-packages (from jedi>=0.16->ipython->kora) (0.8.4)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.10/dist-packages (from pexpect>4.3->ipython->kora) (0.7.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->kora) (0.2.13)\n",
            "Installing collected packages: jedi, kora\n",
            "Successfully installed jedi-0.19.1 kora-0.9.20\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from kora.drive import upload_public\n",
        "url = upload_public('/content/fish.mp4')\n",
        "# # then display it\n",
        "from IPython.display import HTML\n",
        "HTML(f\"\"\"<video src={url} width=500 controls/>\"\"\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "eB-MnPzknf-p",
        "outputId": "3568bbc4-b2ee-43bc-aca6-553f2e1703e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:root:pydrive is deprecated and no longer maintained. We recommend that you migrate your projects to pydrive2, the maintained fork of pydrive\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<video src=https://drive.google.com/uc?id=1oG05vYfZ_z2AGqwkZTnt-qmp4JUm3SJ_ width=500 controls/>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/openai/CLIP.git CLIP-repo\n",
        "!cp -r ./CLIP-repo/clip ./clip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rkyu2gHdpHDT",
        "outputId": "84843f85-4602-4733-b360-4d20b53e42ff"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'CLIP-repo'...\n",
            "remote: Enumerating objects: 251, done.\u001b[K\n",
            "remote: Counting objects: 100% (8/8), done.\u001b[K\n",
            "remote: Compressing objects: 100% (8/8), done.\u001b[K\n",
            "remote: Total 251 (delta 3), reused 3 (delta 0), pack-reused 243\u001b[K\n",
            "Receiving objects: 100% (251/251), 8.93 MiB | 11.67 MiB/s, done.\n",
            "Resolving deltas: 100% (127/127), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install --upgrade pip\n",
        "!pip install -r requirements.txt\n",
        "!pip install ftfy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4qFYW1z1pPY6",
        "outputId": "2eec0072-65a6-4f2a-db3b-4b297b8602d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pip in /usr/local/lib/python3.10/dist-packages (23.1.2)\n",
            "Collecting pip\n",
            "  Downloading pip-24.0-py3-none-any.whl (2.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pip\n",
            "  Attempting uninstall: pip\n",
            "    Found existing installation: pip 23.1.2\n",
            "    Uninstalling pip-23.1.2:\n",
            "      Successfully uninstalled pip-23.1.2\n",
            "Successfully installed pip-24.0\n",
            "\u001b[31mERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt'\u001b[0m\u001b[31m\n",
            "\u001b[0mCollecting ftfy\n",
            "  Downloading ftfy-6.2.0-py3-none-any.whl.metadata (7.3 kB)\n",
            "Requirement already satisfied: wcwidth<0.3.0,>=0.2.12 in /usr/local/lib/python3.10/dist-packages (from ftfy) (0.2.13)\n",
            "Downloading ftfy-6.2.0-py3-none-any.whl (54 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.4/54.4 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: ftfy\n",
            "Successfully installed ftfy-6.2.0\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%ls"
      ],
      "metadata": {
        "id": "YGEYppXNNQ_X",
        "outputId": "c1c5e90e-13e9-4ca4-eaeb-b572deaad575",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[0m\u001b[01;34mclip\u001b[0m/                   coco.names  \u001b[01;34mdeep_sort\u001b[0m/  LICENSE      README.md         \u001b[01;34mtool\u001b[0m/\n",
            "clip_object_tracker.py  cv.yml      \u001b[01;34mexample\u001b[0m/    \u001b[01;34mmodel_data\u001b[0m/  requirements.txt  \u001b[01;34mtools\u001b[0m/\n",
            "\u001b[01;34mCLIP-repo\u001b[0m/              \u001b[01;34mdata\u001b[0m/       fish.mp4    \u001b[01;34mmodels\u001b[0m/      \u001b[01;34mruns\u001b[0m/             \u001b[01;34mutils\u001b[0m/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#run zeroshot object tracking, point to your video and your detection engine\n",
        "!python clip_object_tracker.py  --weights best.pt --source ./fish.mp4 --detection-engine yolov5 --info\n",
        "#Roboflow Inference API\n",
        "#!python clip_object_tracker.py --source data/video/cards.mp4 --url https://detect.roboflow.com/playing-cards-ow27d/1 --api_key ROBOFLOW_API_KEY --info"
      ],
      "metadata": {
        "id": "ZYZLvsffpu8P"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!cp -a -v /content/drive/MyDrive/fish_tracking/yolov5/runs/train/yolov5x_results/weights/last.pt /content/drive/MyDrive/fish_tracking/zero-shot-object-tracking/models/models"
      ],
      "metadata": {
        "id": "AJB1yomIQGAx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "803e8fbb-2fe3-4fd7-aead-a71bd48f1867"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "'/content/drive/MyDrive/fish_tracking/yolov5/runs/train/yolov5x_results/weights/last.pt' -> '/content/drive/MyDrive/fish_tracking/zero-shot-object-tracking/models/models'\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd ./weights/\n",
        "%ls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4GBvXZrBUjkn",
        "outputId": "96e630c1-bbc3-4ba5-a986-5b0a8d9ed174"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/fish_tracking/yolov5/runs/train/yolov5x_results/weights\n",
            "best.pt  last.pt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%ls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s5wIOXzgWNeS",
        "outputId": "14b7f0b4-adb6-4bbb-c788-26aa53f8e271"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "benchmarks.py    detect.py   pyproject.toml    train.py        yolov5x.pt\n",
            "CITATION.cff     export.py   README.md         tutorial.ipynb  \u001b[0m\u001b[01;34mzero-shot-object-tracking\u001b[0m/\n",
            "\u001b[01;34mclassify\u001b[0m/        hubconf.py  README.zh-CN.md   \u001b[01;34mutils\u001b[0m/\n",
            "CONTRIBUTING.md  LICENSE     requirements.txt  val.py\n",
            "\u001b[01;34mdata\u001b[0m/            \u001b[01;34mmodels\u001b[0m/     \u001b[01;34msegment\u001b[0m/          \u001b[01;34myolov5\u001b[0m/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_PSseLXhWN9l"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}