55 lines
1.5 KiB
Plaintext
55 lines
1.5 KiB
Plaintext
{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "code",
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"source": [
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"Model training (main_reference)\n",
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"https://github.com/YJZFlora/Fall_Detection_Deep_Learning_Model/blob/master/Training_code/model_training_May08.ipynb"
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],
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"metadata": {
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"id": "zHyR_1L8Mugk"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "83l_uzqfMKRk"
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},
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"outputs": [],
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"source": [
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"Openpose\n",
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"https://github.com/CMU-Perceptual-Computing-Lab/\n",
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"openpose\n",
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"\n",
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"Real-time\n",
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"https://github.com/tonlongthuat/Real-Time-Fall-Detection\n",
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"\n",
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"Load data reference\n",
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"https://github.com/ManniArtivor24/Fall-Detection/blob/main/Major%20Project%20Fall%20detection%20Notebook.ipynb\n",
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"\n",
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"Pose-based vs Image-based\n",
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"https://github.com/ryankemmer/FallDetection/blob/master/FallDetection_Pose_Based_Models.ipynb\n",
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"\n",
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"LSTM teansfer learn\n",
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"https://github.com/IKKIM00/fall-detection-and-predction-using-GRU-and-LSTM-with-Transfer-Learning/blob/master/SmartFall_LSTM_Classification.ipynb"
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]
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}
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]
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} |