Then, direct to the root directory of this code implementation in terminal (/path_you_place_this_folder/TNT-Trajectory-Prediction) and run the command: ./scripts/preprocessing.sh If you store the raw data at a different location, you can change relative path in the bash script with your pat...
A Python and Pytorch implementation of TNT: Target-driveN Trajectory Prediction and VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. ATTENTION: Currently, the training consumes a large memory (128G+) since an in-memory data loader is implemented. We'll provide a new ...
Instead of the complete patient dataset, a small sample of subjects with similar characteristics has been made available as open source for validation purposes at https://github.com/tvseg/MM-LLM-RO44. No additional documents, such as study protocols or statistical analysis plans, will be ...