3_autoencoder.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting scikit-learn\n",
      "  Downloading scikit_learn-1.3.1-cp39-cp39-win_amd64.whl.metadata (11 kB)\n",
      "Requirement already satisfied: numpy<2.0,>=1.17.3 in f:\\codee\\oppari\\.conda\\lib\\site-packages (from scikit-learn) (1.26.1)\n",
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      "Installing collected packages: threadpoolctl, scipy, joblib, scikit-learn\n",
      "Successfully installed joblib-1.3.2 scikit-learn-1.3.1 scipy-1.11.3 threadpoolctl-3.2.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.layers import *\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "import tensorflow as tf\n",
    "import cv2\n",
    "import os\n",
    "import datetime\n",
    "from modules.coco_final_labels import labels as coco_labels\n",
    "import shutil\n",
    "import matplotlib as plt\n",
    "import matplotlib.pyplot as pyplot\n",
    "from tensorflow import keras\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "gpus = tf.config.experimental.list_physical_devices('GPU')\n",
    "for gpu in gpus: \n",
    "    tf.config.experimental.set_memory_growth(gpu, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "TRAIN_IMAGES = 'data/train'\n",
    "VAL_IMAGES = 'data/validation'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"resnet50v2\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               \n",
      "                                )]                                                                \n",
      "                                                                                                  \n",
      " conv1_pad (ZeroPadding2D)      (None, 230, 230, 3)  0           ['input_1[0][0]']                \n",
      "                                                                                                  \n",
      " conv1_conv (Conv2D)            (None, 112, 112, 64  9472        ['conv1_pad[0][0]']              \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " pool1_pad (ZeroPadding2D)      (None, 114, 114, 64  0           ['conv1_conv[0][0]']             \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " pool1_pool (MaxPooling2D)      (None, 56, 56, 64)   0           ['pool1_pad[0][0]']              \n",
      "                                                                                                  \n",
      " conv2_block1_preact_bn (BatchN  (None, 56, 56, 64)  256         ['pool1_pool[0][0]']             \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv2_block1_preact_relu (Acti  (None, 56, 56, 64)  0           ['conv2_block1_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv2_block1_1_conv (Conv2D)   (None, 56, 56, 64)   4096        ['conv2_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv2_block1_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block1_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block1_2_pad (ZeroPaddin  (None, 58, 58, 64)  0           ['conv2_block1_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv2_block1_2_conv (Conv2D)   (None, 56, 56, 64)   36864       ['conv2_block1_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv2_block1_2_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block1_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block1_2_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block1_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block1_0_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv2_block1_3_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block1_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block1_out (Add)         (None, 56, 56, 256)  0           ['conv2_block1_0_conv[0][0]',    \n",
      "                                                                  'conv2_block1_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block2_preact_bn (BatchN  (None, 56, 56, 256)  1024       ['conv2_block1_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv2_block2_preact_relu (Acti  (None, 56, 56, 256)  0          ['conv2_block2_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv2_block2_1_conv (Conv2D)   (None, 56, 56, 64)   16384       ['conv2_block2_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv2_block2_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block2_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block2_2_pad (ZeroPaddin  (None, 58, 58, 64)  0           ['conv2_block2_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv2_block2_2_conv (Conv2D)   (None, 56, 56, 64)   36864       ['conv2_block2_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv2_block2_2_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block2_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block2_2_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block2_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block2_3_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block2_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block2_out (Add)         (None, 56, 56, 256)  0           ['conv2_block1_out[0][0]',       \n",
      "                                                                  'conv2_block2_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block3_preact_bn (BatchN  (None, 56, 56, 256)  1024       ['conv2_block2_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv2_block3_preact_relu (Acti  (None, 56, 56, 256)  0          ['conv2_block3_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv2_block3_1_conv (Conv2D)   (None, 56, 56, 64)   16384       ['conv2_block3_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv2_block3_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block3_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block3_2_pad (ZeroPaddin  (None, 58, 58, 64)  0           ['conv2_block3_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv2_block3_2_conv (Conv2D)   (None, 28, 28, 64)   36864       ['conv2_block3_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv2_block3_2_bn (BatchNormal  (None, 28, 28, 64)  256         ['conv2_block3_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block3_2_relu (Activatio  (None, 28, 28, 64)  0           ['conv2_block3_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " max_pooling2d (MaxPooling2D)   (None, 28, 28, 256)  0           ['conv2_block2_out[0][0]']       \n",
      "                                                                                                  \n",
      " conv2_block3_3_conv (Conv2D)   (None, 28, 28, 256)  16640       ['conv2_block3_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block3_out (Add)         (None, 28, 28, 256)  0           ['max_pooling2d[0][0]',          \n",
      "                                                                  'conv2_block3_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block1_preact_bn (BatchN  (None, 28, 28, 256)  1024       ['conv2_block3_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv3_block1_preact_relu (Acti  (None, 28, 28, 256)  0          ['conv3_block1_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv3_block1_1_conv (Conv2D)   (None, 28, 28, 128)  32768       ['conv3_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv3_block1_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block1_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block1_2_pad (ZeroPaddin  (None, 30, 30, 128)  0          ['conv3_block1_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv3_block1_2_conv (Conv2D)   (None, 28, 28, 128)  147456      ['conv3_block1_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv3_block1_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block1_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block1_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block1_0_conv (Conv2D)   (None, 28, 28, 512)  131584      ['conv3_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv3_block1_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block1_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block1_out (Add)         (None, 28, 28, 512)  0           ['conv3_block1_0_conv[0][0]',    \n",
      "                                                                  'conv3_block1_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block2_preact_bn (BatchN  (None, 28, 28, 512)  2048       ['conv3_block1_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv3_block2_preact_relu (Acti  (None, 28, 28, 512)  0          ['conv3_block2_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv3_block2_1_conv (Conv2D)   (None, 28, 28, 128)  65536       ['conv3_block2_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv3_block2_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block2_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block2_2_pad (ZeroPaddin  (None, 30, 30, 128)  0          ['conv3_block2_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv3_block2_2_conv (Conv2D)   (None, 28, 28, 128)  147456      ['conv3_block2_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv3_block2_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block2_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block2_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block2_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block2_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block2_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block2_out (Add)         (None, 28, 28, 512)  0           ['conv3_block1_out[0][0]',       \n",
      "                                                                  'conv3_block2_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block3_preact_bn (BatchN  (None, 28, 28, 512)  2048       ['conv3_block2_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv3_block3_preact_relu (Acti  (None, 28, 28, 512)  0          ['conv3_block3_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv3_block3_1_conv (Conv2D)   (None, 28, 28, 128)  65536       ['conv3_block3_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv3_block3_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block3_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block3_2_pad (ZeroPaddin  (None, 30, 30, 128)  0          ['conv3_block3_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv3_block3_2_conv (Conv2D)   (None, 28, 28, 128)  147456      ['conv3_block3_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv3_block3_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block3_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block3_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block3_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block3_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block3_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block3_out (Add)         (None, 28, 28, 512)  0           ['conv3_block2_out[0][0]',       \n",
      "                                                                  'conv3_block3_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block4_preact_bn (BatchN  (None, 28, 28, 512)  2048       ['conv3_block3_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv3_block4_preact_relu (Acti  (None, 28, 28, 512)  0          ['conv3_block4_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv3_block4_1_conv (Conv2D)   (None, 28, 28, 128)  65536       ['conv3_block4_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv3_block4_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block4_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block4_2_pad (ZeroPaddin  (None, 30, 30, 128)  0          ['conv3_block4_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv3_block4_2_conv (Conv2D)   (None, 14, 14, 128)  147456      ['conv3_block4_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv3_block4_2_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv3_block4_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block4_2_relu (Activatio  (None, 14, 14, 128)  0          ['conv3_block4_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " max_pooling2d_1 (MaxPooling2D)  (None, 14, 14, 512)  0          ['conv3_block3_out[0][0]']       \n",
      "                                                                                                  \n",
      " conv3_block4_3_conv (Conv2D)   (None, 14, 14, 512)  66048       ['conv3_block4_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block4_out (Add)         (None, 14, 14, 512)  0           ['max_pooling2d_1[0][0]',        \n",
      "                                                                  'conv3_block4_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block1_preact_bn (BatchN  (None, 14, 14, 512)  2048       ['conv3_block4_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv4_block1_preact_relu (Acti  (None, 14, 14, 512)  0          ['conv4_block1_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv4_block1_1_conv (Conv2D)   (None, 14, 14, 256)  131072      ['conv4_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block1_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block1_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block1_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block1_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block1_2_conv (Conv2D)   (None, 14, 14, 256)  589824      ['conv4_block1_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block1_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block1_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block1_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block1_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block1_0_conv (Conv2D)   (None, 14, 14, 1024  525312      ['conv4_block1_preact_relu[0][0]'\n",
      "                                )                                ]                                \n",
      "                                                                                                  \n",
      " conv4_block1_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block1_2_relu[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block1_out (Add)         (None, 14, 14, 1024  0           ['conv4_block1_0_conv[0][0]',    \n",
      "                                )                                 'conv4_block1_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block2_preact_bn (BatchN  (None, 14, 14, 1024  4096       ['conv4_block1_out[0][0]']       \n",
      " ormalization)                  )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block2_preact_relu (Acti  (None, 14, 14, 1024  0          ['conv4_block2_preact_bn[0][0]'] \n",
      " vation)                        )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block2_1_conv (Conv2D)   (None, 14, 14, 256)  262144      ['conv4_block2_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block2_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block2_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block2_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block2_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block2_2_conv (Conv2D)   (None, 14, 14, 256)  589824      ['conv4_block2_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block2_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block2_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block2_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block2_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block2_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block2_2_relu[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block2_out (Add)         (None, 14, 14, 1024  0           ['conv4_block1_out[0][0]',       \n",
      "                                )                                 'conv4_block2_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block3_preact_bn (BatchN  (None, 14, 14, 1024  4096       ['conv4_block2_out[0][0]']       \n",
      " ormalization)                  )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block3_preact_relu (Acti  (None, 14, 14, 1024  0          ['conv4_block3_preact_bn[0][0]'] \n",
      " vation)                        )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block3_1_conv (Conv2D)   (None, 14, 14, 256)  262144      ['conv4_block3_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block3_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block3_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block3_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block3_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block3_2_conv (Conv2D)   (None, 14, 14, 256)  589824      ['conv4_block3_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block3_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block3_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block3_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block3_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block3_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block3_2_relu[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block3_out (Add)         (None, 14, 14, 1024  0           ['conv4_block2_out[0][0]',       \n",
      "                                )                                 'conv4_block3_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block4_preact_bn (BatchN  (None, 14, 14, 1024  4096       ['conv4_block3_out[0][0]']       \n",
      " ormalization)                  )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block4_preact_relu (Acti  (None, 14, 14, 1024  0          ['conv4_block4_preact_bn[0][0]'] \n",
      " vation)                        )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block4_1_conv (Conv2D)   (None, 14, 14, 256)  262144      ['conv4_block4_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block4_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block4_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block4_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block4_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block4_2_conv (Conv2D)   (None, 14, 14, 256)  589824      ['conv4_block4_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block4_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block4_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block4_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block4_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block4_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block4_2_relu[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block4_out (Add)         (None, 14, 14, 1024  0           ['conv4_block3_out[0][0]',       \n",
      "                                )                                 'conv4_block4_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block5_preact_bn (BatchN  (None, 14, 14, 1024  4096       ['conv4_block4_out[0][0]']       \n",
      " ormalization)                  )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block5_preact_relu (Acti  (None, 14, 14, 1024  0          ['conv4_block5_preact_bn[0][0]'] \n",
      " vation)                        )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block5_1_conv (Conv2D)   (None, 14, 14, 256)  262144      ['conv4_block5_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block5_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block5_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block5_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block5_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block5_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block5_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block5_2_conv (Conv2D)   (None, 14, 14, 256)  589824      ['conv4_block5_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block5_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block5_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block5_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block5_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block5_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block5_2_relu[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block5_out (Add)         (None, 14, 14, 1024  0           ['conv4_block4_out[0][0]',       \n",
      "                                )                                 'conv4_block5_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block6_preact_bn (BatchN  (None, 14, 14, 1024  4096       ['conv4_block5_out[0][0]']       \n",
      " ormalization)                  )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block6_preact_relu (Acti  (None, 14, 14, 1024  0          ['conv4_block6_preact_bn[0][0]'] \n",
      " vation)                        )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block6_1_conv (Conv2D)   (None, 14, 14, 256)  262144      ['conv4_block6_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv4_block6_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block6_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block6_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block6_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block6_2_pad (ZeroPaddin  (None, 16, 16, 256)  0          ['conv4_block6_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv4_block6_2_conv (Conv2D)   (None, 7, 7, 256)    589824      ['conv4_block6_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv4_block6_2_bn (BatchNormal  (None, 7, 7, 256)   1024        ['conv4_block6_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block6_2_relu (Activatio  (None, 7, 7, 256)   0           ['conv4_block6_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " max_pooling2d_2 (MaxPooling2D)  (None, 7, 7, 1024)  0           ['conv4_block5_out[0][0]']       \n",
      "                                                                                                  \n",
      " conv4_block6_3_conv (Conv2D)   (None, 7, 7, 1024)   263168      ['conv4_block6_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block6_out (Add)         (None, 7, 7, 1024)   0           ['max_pooling2d_2[0][0]',        \n",
      "                                                                  'conv4_block6_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block1_preact_bn (BatchN  (None, 7, 7, 1024)  4096        ['conv4_block6_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv5_block1_preact_relu (Acti  (None, 7, 7, 1024)  0           ['conv5_block1_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv5_block1_1_conv (Conv2D)   (None, 7, 7, 512)    524288      ['conv5_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv5_block1_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block1_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block1_2_pad (ZeroPaddin  (None, 9, 9, 512)   0           ['conv5_block1_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv5_block1_2_conv (Conv2D)   (None, 7, 7, 512)    2359296     ['conv5_block1_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv5_block1_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block1_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block1_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block1_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block1_0_conv (Conv2D)   (None, 7, 7, 2048)   2099200     ['conv5_block1_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv5_block1_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block1_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block1_out (Add)         (None, 7, 7, 2048)   0           ['conv5_block1_0_conv[0][0]',    \n",
      "                                                                  'conv5_block1_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block2_preact_bn (BatchN  (None, 7, 7, 2048)  8192        ['conv5_block1_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv5_block2_preact_relu (Acti  (None, 7, 7, 2048)  0           ['conv5_block2_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv5_block2_1_conv (Conv2D)   (None, 7, 7, 512)    1048576     ['conv5_block2_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv5_block2_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block2_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block2_2_pad (ZeroPaddin  (None, 9, 9, 512)   0           ['conv5_block2_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv5_block2_2_conv (Conv2D)   (None, 7, 7, 512)    2359296     ['conv5_block2_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv5_block2_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block2_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block2_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block2_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block2_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block2_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block2_out (Add)         (None, 7, 7, 2048)   0           ['conv5_block1_out[0][0]',       \n",
      "                                                                  'conv5_block2_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block3_preact_bn (BatchN  (None, 7, 7, 2048)  8192        ['conv5_block2_out[0][0]']       \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv5_block3_preact_relu (Acti  (None, 7, 7, 2048)  0           ['conv5_block3_preact_bn[0][0]'] \n",
      " vation)                                                                                          \n",
      "                                                                                                  \n",
      " conv5_block3_1_conv (Conv2D)   (None, 7, 7, 512)    1048576     ['conv5_block3_preact_relu[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " conv5_block3_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block3_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block3_2_pad (ZeroPaddin  (None, 9, 9, 512)   0           ['conv5_block3_1_relu[0][0]']    \n",
      " g2D)                                                                                             \n",
      "                                                                                                  \n",
      " conv5_block3_2_conv (Conv2D)   (None, 7, 7, 512)    2359296     ['conv5_block3_2_pad[0][0]']     \n",
      "                                                                                                  \n",
      " conv5_block3_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block3_2_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block3_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block3_2_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block3_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block3_2_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block3_out (Add)         (None, 7, 7, 2048)   0           ['conv5_block2_out[0][0]',       \n",
      "                                                                  'conv5_block3_3_conv[0][0]']    \n",
      "                                                                                                  \n",
      " post_bn (BatchNormalization)   (None, 7, 7, 2048)   8192        ['conv5_block3_out[0][0]']       \n",
      "                                                                                                  \n",
      " post_relu (Activation)         (None, 7, 7, 2048)   0           ['post_bn[0][0]']                \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 23,564,800\n",
      "Trainable params: 23,519,360\n",
      "Non-trainable params: 45,440\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "resnet50 = keras.applications.ResNet50V2(include_top=False, weights=\"imagenet\", input_shape=(224,224,3))\n",
    "resnet50.summary()\n",
    "resnet50.trainable = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_5\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_7 (InputLayer)        [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " model_3 (Functional)        (None, 980)               29780304  \n",
      "                                                                 \n",
      " model_4 (Functional)        (None, 224, 224, 3)       1643139   \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 31,423,443\n",
      "Trainable params: 31,371,947\n",
      "Non-trainable params: 51,496\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if not os.path.exists(\"logs/autoencoder\"):\n",
    "    os.mkdir(\"logs/autoencoder\")\n",
    "\n",
    "BOTTLENECK_DEPTH = 980\n",
    "\n",
    "input = Input(shape=(224,224,3))\n",
    "encoder = resnet50(input)\n",
    "#encoder_output = Conv2D(BOTTLENECK_DEPTH, 1, activation=\"relu\", padding=\"same\")(encoder)\n",
    "encoder_output = GlobalAveragePooling2D()(encoder)\n",
    "encoder_output = Dense(2048, activation=None)(encoder_output)\n",
    "encoder_output = LeakyReLU()(encoder_output)\n",
    "encoder_output = BatchNormalization()(encoder_output)\n",
    "encoder_output = Dense(BOTTLENECK_DEPTH, activation=None, use_bias=False)(encoder_output)\n",
    "encoder_output = BatchNormalization()(encoder_output)\n",
    "encoder_model = Model(inputs=[input], outputs=encoder_output)\n",
    "#encoder_model.summary()\n",
    "\n",
    "decoder_input = Input(shape=(BOTTLENECK_DEPTH))\n",
    "x = Reshape((7,7,20))(decoder_input)\n",
    "x = Conv2DTranspose(512, 3, 2, padding=\"same\", activation=\"relu\")(x)\n",
    "x = Conv2DTranspose(256, 3, 2, padding=\"same\", activation=\"relu\")(x)\n",
    "x = Conv2DTranspose(128, 3, 2, padding=\"same\", activation=\"relu\")(x)\n",
    "x = Conv2DTranspose(64, 3, 2, padding=\"same\", activation=\"relu\")(x)\n",
    "x = Conv2DTranspose(3, 3, 2, padding=\"same\", activation=\"sigmoid\")(x)\n",
    "\n",
    "decoder_model = Model(inputs=decoder_input, outputs=x)\n",
    "#decoder_model.summary()\n",
    "\n",
    "\n",
    "\n",
    "autoencoder_input = Input(shape=(224,224,3))\n",
    "encoder_block = encoder_model(autoencoder_input)\n",
    "decoder_block = decoder_model(encoder_block)\n",
    "autoencoder_model = Model(inputs=autoencoder_input, outputs=decoder_block)\n",
    "autoencoder_model.summary()\n",
    "\n",
    "tf.keras.utils.plot_model(encoder_model, to_file=\"logs/autoencoder/encoder_model.png\", show_shapes=True, expand_nested=False)\n",
    "\n",
    "tf.keras.utils.plot_model(decoder_model, to_file=\"logs/autoencoder/decoder_model.png\", show_shapes=True, expand_nested=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80\n",
      "80\n"
     ]
    }
   ],
   "source": [
    "train_files = {}\n",
    "for d in os.listdir(TRAIN_IMAGES):\n",
    "    files = os.listdir(f\"{TRAIN_IMAGES}/{d}\")\n",
    "    if len(files) > 0:\n",
    "        train_files[d] = files\n",
    "\n",
    "print(len(train_files))\n",
    "\n",
    "val_files = {}\n",
    "for d in os.listdir(VAL_IMAGES):\n",
    "    files = os.listdir(f\"{VAL_IMAGES}/{d}\")\n",
    "    if len(files) > 0:\n",
    "        val_files[d] = files\n",
    "\n",
    "print(len(val_files))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import itertools\n",
    "\n",
    "data_augmentation = tf.keras.Sequential(\n",
    "    [\n",
    "        tf.keras.layers.RandomTranslation(\n",
    "            height_factor=(-0.2, 0.2), width_factor=(-0.2, 0.2), fill_mode=\"nearest\"\n",
    "        ),\n",
    "        tf.keras.layers.RandomFlip(mode=\"horizontal\"),\n",
    "        tf.keras.layers.RandomRotation(\n",
    "            factor=0.15, fill_mode=\"nearest\"\n",
    "        ),\n",
    "        tf.keras.layers.RandomZoom(\n",
    "            height_factor=(-0.3, 0.1), width_factor=(-0.3, 0.1), fill_mode=\"nearest\"\n",
    "        )\n",
    "    ]\n",
    ")\n",
    "\n",
    "def load_images(path):\n",
    "    img = tf.io.read_file(path)\n",
    "    img = tf.io.decode_jpeg(img, channels=3)\n",
    "    img = tf.image.resize(img, (224,224))\n",
    "    img = img/255.0\n",
    "    return img\n",
    "\n",
    "def preprocess_twins(anchor, autoencoded):\n",
    "    x = load_images(anchor)\n",
    "    #x = data_augmentation(x, training=True)\n",
    "    x = tf.image.stateless_random_hue(x, max_delta=0.2, seed=(1,2))\n",
    "    y = load_images(autoencoded)\n",
    "    return (x, y)\n",
    "\n",
    "def preprocess_clustering(anchor, label):\n",
    "    x = load_images(anchor)\n",
    "    return (x,label)\n",
    "\n",
    "def get_training_data(epoch_size=1024, training: bool=True, withlabels: bool=False):\n",
    "    X = []\n",
    "    Y = []\n",
    "    labels = []\n",
    "\n",
    "    image_set = train_files if training else val_files\n",
    "    image_dir = TRAIN_IMAGES if training else VAL_IMAGES\n",
    "\n",
    "    available_classes = coco_labels\n",
    "\n",
    "    if epoch_size <= 0:\n",
    "        amount = max([len(files) for files in [image_set[s] for s in image_set.keys()]])\n",
    "        print(amount)\n",
    "        for label in available_classes:\n",
    "            c = itertools.cycle(image_set[label])\n",
    "            for _ in range(amount):\n",
    "                anchor = next(c)\n",
    "                X.append(f\"{image_dir}/{label}/{anchor}\")\n",
    "                Y.append(f\"{image_dir}/{label}/{anchor}\")\n",
    "                labels.append(available_classes.index(label))\n",
    "    else:\n",
    "        for _ in range(epoch_size):\n",
    "\n",
    "            c = random.choice(available_classes)\n",
    "            anchor = random.choice(image_set[c])\n",
    "\n",
    "            X.append(f\"{image_dir}/{c}/{anchor}\")\n",
    "            Y.append(f\"{image_dir}/{c}/{anchor}\")\n",
    "            labels.append(available_classes.index(c))\n",
    "\n",
    "    if withlabels:\n",
    "        return (X,Y,labels)\n",
    "    return (X, Y)\n",
    "\n",
    "def get_training_dataset(epoch_size=1024, training: bool=True):\n",
    "    data = get_training_data(epoch_size, training)\n",
    "    x = tf.data.Dataset.from_tensor_slices(data[0])\n",
    "    y = tf.data.Dataset.from_tensor_slices(data[1])\n",
    "    final_data = tf.data.Dataset.zip((x,y))\n",
    "    processed_data = final_data.map(preprocess_twins)\n",
    "    return processed_data\n",
    "\n",
    "def get_data_for_clustering():\n",
    "    images = []\n",
    "    labels = []\n",
    "\n",
    "    for label in coco_labels:\n",
    "        c = itertools.cycle(train_files[label])\n",
    "        for _ in range(1000):\n",
    "            anchor = next(c)\n",
    "            images.append(f\"{TRAIN_IMAGES}/{label}/{anchor}\")\n",
    "            labels.append(coco_labels.index(label))\n",
    "\n",
    "    x = tf.data.Dataset.from_tensor_slices(images)\n",
    "    y = tf.data.Dataset.from_tensor_slices(labels)\n",
    "    final_data = tf.data.Dataset.zip((x,y))\n",
    "    processed_data = final_data.map(preprocess_clustering)\n",
    "    return processed_data\n",
    "\n",
    "def get_data_for_clustering_validation():\n",
    "    images = []\n",
    "    labels = []\n",
    "    for label in coco_labels:\n",
    "        for file in val_files[label]:\n",
    "            images.append(f\"{VAL_IMAGES}/{label}/{file}\")\n",
    "            labels.append(coco_labels.index(label))\n",
    "    \n",
    "    x = tf.data.Dataset.from_tensor_slices(images)\n",
    "    y = tf.data.Dataset.from_tensor_slices(labels)\n",
    "    final_data = tf.data.Dataset.zip((x,y))\n",
    "    processed_data = final_data.map(preprocess_clustering)\n",
    "    return processed_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2ca90289970>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = get_training_dataset(1024).take(2).as_numpy_iterator()\n",
    "\n",
    "batch = next(test)\n",
    "img1 = np.array(batch[0])\n",
    "img2 = np.array(batch[1])\n",
    "batch = next(test)\n",
    "img3 = np.array(batch[0])\n",
    "img4 = np.array(batch[1])\n",
    "\n",
    "f, axarr = pyplot.subplots(2,2)\n",
    "axarr[0][0].imshow(img1)\n",
    "axarr[0][1].imshow(img2)\n",
    "axarr[1][0].imshow(img3)\n",
    "axarr[1][1].imshow(img4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "METRICS = [\n",
    "      keras.metrics.TruePositives(name='tp'),\n",
    "      keras.metrics.FalsePositives(name='fp'),\n",
    "      keras.metrics.TrueNegatives(name='tn'),\n",
    "      keras.metrics.FalseNegatives(name='fn'), \n",
    "      keras.metrics.BinaryAccuracy(name='accuracy'),\n",
    "      keras.metrics.Precision(name='precision'),\n",
    "      keras.metrics.Recall(name='recall'),\n",
    "      keras.metrics.AUC(name='auc'),\n",
    "      keras.metrics.AUC(name='prc', curve='PR'), # precision-recall curve\n",
    "]\n",
    "\n",
    "opt = tf.keras.optimizers.Adam(learning_rate=0.002)\n",
    "#autoencoder_model.compile(loss=['binary_crossentropy', 'mae'], optimizer=opt, metrics=METRICS, loss_weights=[10,80])\n",
    "autoencoder_model.compile(loss='mse', optimizer=opt, metrics=METRICS)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "      <iframe id=\"tensorboard-frame-4afd73fc79e1b6bf\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
       "      </iframe>\n",
       "      <script>\n",
       "        (function() {\n",
       "          const frame = document.getElementById(\"tensorboard-frame-4afd73fc79e1b6bf\");\n",
       "          const url = new URL(\"/\", window.location);\n",
       "          const port = 6006;\n",
       "          if (port) {\n",
       "            url.port = port;\n",
       "          }\n",
       "          frame.src = url;\n",
       "        })();\n",
       "      </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the TensorBoard notebook extension\n",
    "%load_ext tensorboard\n",
    "%reload_ext tensorboard\n",
    "%tensorboard --logdir logs/autoencoder\n",
    "\n",
    "current_time = datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\n",
    "log_dir = 'logs/autoencoder/{0}'.format(current_time)\n",
    "weight_dir = 'weights/autoencoder/{0}'.format(current_time)\n",
    "\n",
    "summary_writer = tf.summary.create_file_writer(log_dir)\n",
    "summary_writer.set_as_default()\n",
    "tensorboard_callback = keras.callbacks.TensorBoard(log_dir=log_dir, update_freq=100)\n",
    "weight_callback = tf.keras.callbacks.ModelCheckpoint(\n",
    "    filepath=weight_dir,\n",
    "    save_weights_only=False,\n",
    "    monitor='val_loss',\n",
    "    save_best_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "class opencv_draw_callback(keras.callbacks.Callback):\n",
    "    def on_train_batch_end(self, batch, logs=None):\n",
    "        if batch % 500 == 0:\n",
    "            data = get_training_dataset(1, False).as_numpy_iterator()\n",
    "            data = next(data)\n",
    "            pred = autoencoder_model.predict(data[0].reshape(-1,224,224,3))\n",
    "            stack = np.hstack((data[0], pred[0]))\n",
    "            cv2.imwrite(f\"{log_dir}/{str(batch)}_{int(time.time()*1000)}.jpg\", stack*255)\n",
    "            cv2.imshow(\"inputoutput\", stack)\n",
    "            cv2.waitKey(1000)\n",
    "\n",
    "opencv_callback = opencv_draw_callback()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "83569\n"
     ]
    }
   ],
   "source": [
    "train_data = get_training_dataset(-1)\n",
    "train_data = train_data.shuffle(2048*4)\n",
    "train_data = train_data.batch(32)\n",
    "train_data = train_data.prefetch(32)\n",
    "\n",
    "val_data = get_training_dataset(128, False)\n",
    "val_data = val_data.batch(32)\n",
    "val_data = val_data.prefetch(32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# print(len(data[2]))\n",
    "loss = autoencoder_model.fit(train_data, batch_size=16, epochs=40, steps_per_epoch=100, validation_data=val_data, callbacks=[\n",
    "    tensorboard_callback, opencv_callback, weight_callback])\n",
    "print(loss)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "INFO:tensorflow:Assets written to: weights/autoencoder/encoder2/assets\n",
      "INFO:tensorflow:Assets written to: weights/autoencoder/autoencoder2/assets\n"
     ]
    }
   ],
   "source": [
    "\n",
    "encoder_model.save(os.path.join(\"weights/autoencoder\", \"encoder2\"),)\n",
    "autoencoder_model.save(os.path.join(\"weights/autoencoder\", \"autoencoder2\"),)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:No training configuration found in save file, so the model was *not* compiled. Compile it manually.\n"
     ]
    }
   ],
   "source": [
    "encoder_model = tf.keras.models.load_model(os.path.join(\"weights/autoencoder\", \"encoder\"))\n",
    "autoencoder_model = tf.keras.models.load_model(os.path.join(\"weights/autoencoder\", \"autoencoder\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32\n"
     ]
    }
   ],
   "source": [
    "dasd = val_data.shuffle(2048).take(1).as_numpy_iterator()\n",
    "\n",
    "batch = next(dasd)\n",
    "print(len(batch[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fed6152a820>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x360 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "preds = autoencoder_model.predict(batch[1])\n",
    "\n",
    "img1 = np.array(batch[1][0])\n",
    "img2 = np.array(batch[1][1])\n",
    "img3 = np.array(batch[1][2])\n",
    "img4 = np.array(batch[1][3])\n",
    "\n",
    "f, axarr = pyplot.subplots(2,4, figsize=(12, 5))\n",
    "axarr[0][0].imshow(img1)\n",
    "axarr[0][1].imshow(img2)\n",
    "axarr[0][2].imshow(img3)\n",
    "axarr[0][3].imshow(img4)\n",
    "\n",
    "axarr[1][0].imshow(preds[0])\n",
    "axarr[1][1].imshow(preds[1])\n",
    "axarr[1][2].imshow(preds[2])\n",
    "axarr[1][3].imshow(preds[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = get_data_for_clustering().as_numpy_iterator()\n",
    "\n",
    "f = open(\"weights/autoencoder/features2.txt\", \"w\")\n",
    "for i,x in enumerate(data):\n",
    "    preds = encoder_model.predict(np.array(x[0]).reshape(-1,224,224,3))\n",
    "    f.write(f\"{[x for x in np.ndarray.flatten(preds[0])]}:{x[1]}\\n\")\n",
    "    print(i)\n",
    "\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ast import literal_eval\n",
    "f = open(\"weights/autoencoder/features2.txt\", \"r\")\n",
    "\n",
    "x = []\n",
    "y = []\n",
    "\n",
    "while True:\n",
    "    line = f.readline()\n",
    "\n",
    "    if line == None or len(line) <= 0:\n",
    "        break\n",
    "\n",
    "    linesplit = line.split(':')\n",
    "    #print(line)\n",
    "    x.append(np.array(literal_eval(linesplit[0])))\n",
    "    y.append(int(linesplit[1]))\n",
    "\n",
    "f.close()\n",
    "\n",
    "# flattened = [np.ndarray.flatten(y) for y in X]\n",
    "\n",
    "from sklearn.cluster import KMeans, DBSCAN\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.neighbors import KNeighborsClassifier, NearestNeighbors\n",
    "from sklearn.mixture import GaussianMixture\n",
    "from scipy.spatial.distance import cdist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "980"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_components = len(x[0])\n",
    "full_components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "distortions = []\n",
    "inertias = []\n",
    "mapping1 = {}\n",
    "mapping2 = {}\n",
    "K = range(1, 90)\n",
    "  \n",
    "for k in K:\n",
    "    print(k)\n",
    "    # Building and fitting the model\n",
    "    kmeans = KMeans(init='k-means++', max_iter=1000, n_clusters=k, n_init=3)\n",
    "    kmeans.fit(x)\n",
    "  \n",
    "    distortions.append(sum(np.min(cdist(x, kmeans.cluster_centers_,\n",
    "                                        'euclidean'), axis=1)) / len(x))\n",
    "    inertias.append(kmeans.inertia_)\n",
    "  \n",
    "    mapping1[k] = sum(np.min(cdist(x, kmeans.cluster_centers_,\n",
    "                                   'euclidean'), axis=1)) / len(x)\n",
    "    mapping2[k] = kmeans.inertia_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyplot.plot(K, distortions, 'bx-')\n",
    "pyplot.xlabel('K')\n",
    "pyplot.ylabel('Distortion')\n",
    "pyplot.title('Distortion elbow')\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyplot.plot(K, inertias, 'bx-')\n",
    "pyplot.xlabel('K')\n",
    "pyplot.ylabel('Inertia')\n",
    "pyplot.title('Inertia elbow')\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(max_iter=10000, n_clusters=15)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pca = PCA(n_components=50)\n",
    "# pca.fit(flattened)\n",
    "kmeans = KMeans(init='k-means++', max_iter=10000, n_clusters=15, n_init=10)\n",
    "kmeans.fit(x)\n",
    "\n",
    "#gm = GaussianMixture(n_components=90).fit(flattened)\n",
    "\n",
    "#clustering_predictions = zip(kmeans.predict(flattened), flattened)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = get_data_for_clustering_validation()\n",
    "data = data.batch(16)\n",
    "data = data.prefetch(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "clustermap = {}\n",
    "\n",
    "if os.path.exists(\"logs/autoencoder/clusterviz\"):\n",
    "    shutil.rmtree(\"logs/autoencoder/clusterviz\")\n",
    "\n",
    "if not os.path.exists(\"logs/autoencoder/clusterviz\"):\n",
    "    os.mkdir(\"logs/autoencoder/clusterviz\")\n",
    "\n",
    "for img, y in data:\n",
    "    pred = encoder_model.predict_on_batch(img)\n",
    "\n",
    "    for i in range(len(pred)):\n",
    "        cluster = kmeans.predict([pred[i]])[0]\n",
    "        print(cluster)\n",
    "        if cluster not in clustermap:\n",
    "            clustermap[cluster] = list()\n",
    "        \n",
    "        if not os.path.exists(f\"logs/autoencoder/clusterviz/{cluster}\"):\n",
    "            os.mkdir(f\"logs/autoencoder/clusterviz/{cluster}\")\n",
    "\n",
    "        writeimg = cv2.cvtColor(np.array(img[i]*255), cv2.COLOR_BGR2RGB)\n",
    "        cv2.imwrite(f\"logs/autoencoder/clusterviz/{cluster}/{int(time.time()*1000)}.jpg\", writeimg)\n",
    "\n",
    "        clustermap[cluster].append((pred[i], y[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 15 artists>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clustersizes = [len(clustermap[c]) for c in clustermap]\n",
    "clusterindeces = [c for c in clustermap]\n",
    "pyplot.bar(clusterindeces, clustersizes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x3600 with 48 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "num_images = 6\n",
    "pyplot.figure(figsize=(10, 50))\n",
    "position = 1\n",
    "max_clusters = num_images*8\n",
    "\n",
    "for c in clustermap.keys():\n",
    "    imgs = os.listdir(f\"logs/autoencoder/clusterviz/{c}\")\n",
    "    random.shuffle(imgs)\n",
    "    for j in range(num_images):\n",
    "        img = np.ones((32,32,3))\n",
    "        if len(imgs) > j:\n",
    "            img = pyplot.imread(f\"logs/autoencoder/clusterviz/{c}/{imgs[j]}\", format=None)\n",
    "        pyplot.subplot(max_clusters, num_images, position)\n",
    "        \n",
    "        pyplot.imshow(img)\n",
    "        pyplot.axis(\"off\")\n",
    "        position += 1\n",
    "        \n",
    "    if position > max_clusters:\n",
    "        break\n",
    "\n",
    "pyplot.savefig(\"clsuters.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "\n",
    "preds = []\n",
    "\n",
    "out_m = io.open(f\"logs/autoencoder/meta.tsv\", \"w\", encoding=\"utf-8\")\n",
    "\n",
    "for img, y in data:\n",
    "    pred = encoder_model.predict_on_batch(img)\n",
    "    for i in range(len(pred)):\n",
    "        preds.append(pred[0])\n",
    "        out_m.write(str(np.array(y[i])) + \"\\n\")\n",
    "\n",
    "out_m.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savetxt(f\"logs/autoencoder/vecs.tsv\", preds, delimiter='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.destroyAllWindows()"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "2f7689cbb1557490bb7237f90f0f73210ec72ad5d7f089fed20fb4d5142ddbe1"
  },
  "kernelspec": {
   "display_name": "Python 3.8.10 ('.venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}