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PIR_SGAN

Project repository for simulating a socially compliant robot which avoids human path trajectories. Based on the SGAN model for finding human path trajectories in a Docker container, simulations are performed using p5.js on a chrome and FastAPI backend.

Running the Docker container

  1. Build the container
docker build . --platform=linux/amd64 -t sgan
  1. Run the container
docker run --platform=linux/amd64 -p 8000:8000 -it sgan

Running the FastAPI based server

cd scripts
uvicorn main:app --reload --host 0.0.0.0

Running the model

  1. After running the container, you will directly drop into the PIR_SGAN/sgan directory
  2. To run the model on the custom.txt input file in datasets/eth/test/, run the following code:
  3. You don't need to run this if you are running the server
python3.7 scripts/em2.py --model_path models/sgan-models/

Running the simulations

Open the index.html file in chrome browser, the simulation should start automatically.

Future work