Using 3 models to simulate crowd flow given 30 frames of input data File Description -
- project_3_models.py - Define 3 models (Convolutional LSTM, Social LSTM, Temporal Convolutional Neural Network); Define Data Loading and Test,Training split
- model_conv_lstm.py - Train, evaluate, and run inference for Convolutional LSTM
- model_social_lstm.py - Train, evaluate and run inference for Social LSTM
- model_tcnn.py - Train, evaluate and run inference for Temporal CNN
- testlist_copy.txt - Define sequences we will use for testing
- trainlist_copy.txt - Define sequences we will use for training
- VisDrone2020-CC - Main Dataset with frames and annotations