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Crowd-Flow-Simulation

Using 3 models to simulate crowd flow given 30 frames of input data File Description -

  1. project_3_models.py - Define 3 models (Convolutional LSTM, Social LSTM, Temporal Convolutional Neural Network); Define Data Loading and Test,Training split
  2. model_conv_lstm.py - Train, evaluate, and run inference for Convolutional LSTM
  3. model_social_lstm.py - Train, evaluate and run inference for Social LSTM
  4. model_tcnn.py - Train, evaluate and run inference for Temporal CNN
  5. testlist_copy.txt - Define sequences we will use for testing
  6. trainlist_copy.txt - Define sequences we will use for training
  7. VisDrone2020-CC - Main Dataset with frames and annotations

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Using 3 models to simulate crowd flow given 30 frames of input data

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  • Python 93.5%
  • Cuda 5.8%
  • C++ 0.7%