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Motion Prediction

This guide explains how to set up and run motion prediction using the TAROT framework and the UniTraj repository.

Step-by-Step Instructions

  1. Navigate to the motion prediction example directory
    cd examples/motion_prediction

  2. Clone the UniTraj repository
    Ensure you have SSH access to GitHub before running the following command:
    git clone [email protected]:vita-epfl/UniTraj.git

  3. Install necessary dependencies for UniTraj
    Follow the instructions in the UniTraj README to set up dependencies.

  4. Move TAROT-specific scripts into the UniTraj directory
    Move the tarot_train.py and tarot_config.yaml files into the cloned UniTraj repository:

    mv tarot_train.py UniTraj/unitraj

    mv tarot_config.yaml UniTraj/unitraj

    Download pretrained Autobot Ckpt into UniTraj/unitraj/unitraj_ckpt

  5. Navigate to the UniTraj directory
    cd UniTraj

  6. Run the TAROT training script
    Use the following command to start the training process:
    python tarot_train.py

Notes

  • Make sure to configure tarot_config.yaml according to your requirements before running the training script.
  • For issues with dependencies or environment setup, refer to the UniTraj documentation or TAROT-specific documentation.

Example Directory Structure

After completing the steps, your directory structure should look like this:

examples/motion_prediction/
├── UniTraj/unitraj
│ ├── tarot_train.py
│ ├── tarot_config.yaml
│ └── ... (other UniTraj files)