From 45052528c63f93e7eb7e7fd333f312657f06a1ba Mon Sep 17 00:00:00 2001 From: Charles Martin Date: Tue, 10 Sep 2024 10:35:41 +0200 Subject: [PATCH] works with gestureRNN example --- notebooks/4-gesture-rnn.ipynb | 18 +-- poetry.lock | 215 +++++++++++++++++++++++++++++++++- pyproject.toml | 1 + 3 files changed, 220 insertions(+), 14 deletions(-) diff --git a/notebooks/4-gesture-rnn.ipynb b/notebooks/4-gesture-rnn.ipynb index 4bf0de7..2f34335 100644 --- a/notebooks/4-gesture-rnn.ipynb +++ b/notebooks/4-gesture-rnn.ipynb @@ -21,18 +21,10 @@ "metadata": {}, "outputs": [], "source": [ - "from __future__ import print_function\n", "import os\n", - "import time\n", "import pandas as pd\n", "import numpy as np\n", - "import tensorflow as tf\n", - "import time\n", "import os\n", - "import datetime\n", - "import pickle\n", - "import matplotlib.pyplot as plt\n", - "import random\n", "from itertools import permutations\n", "\n", "import urllib.request\n", @@ -59,7 +51,7 @@ "vocabulary_size = len(GESTURE_CODES)\n", "\n", "print(\"Here's an example of some gestures from a trio performance:\")\n", - "metatone_dataset.gestures.ix[0][:20].T" + "metatone_dataset.gestures.iloc[0][:20].T" ] }, { @@ -80,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -283,12 +275,12 @@ "num_output_classes = vocabulary_size ** num_output_performers\n", "\n", "training_model = keras.models.Sequential()\n", - "training_model.add(keras.layers.Embedding(num_input_classes, num_units, input_length=num_steps))\n", + "training_model.add(keras.Input(shape=(num_input_classes,)))\n", + "training_model.add(keras.layers.Embedding(num_input_classes, num_units))\n", "for n in range(num_layers - 1):\n", " training_model.add(keras.layers.LSTM(num_units, return_sequences=True))\n", "training_model.add(keras.layers.LSTM(num_units))\n", "training_model.add(keras.layers.Dense(num_output_classes, activation='softmax'))\n", - "# 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