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This repository is a collection of deep learning models created to detect potentially life threatening falls in videos. Models are written in python and utilize tensorflow, pandas and numpy. The most successful model uses the popular 'OpenPose' library to perform feature extraction of humans in videos, and then uses a CNN/LSTM framework to predict is a person is experiencing a potentially fatal fall.

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Support:Could you share the relative google drive resources ?

Hi, Bro, i am interesting at the idea of using CNN/LSTM to predict whether a person is fall down, i think this is an innovative CNN application. When i run FallDetection_Pose_Based_Models.ipynb on colab, i find i am lack of some relative google drive files (Fall Detection folder), i will very appreciate it if you could share it with me, that way i can expirience this magic machine learning project ~

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