Thank you for your excellent work and for making your code available!
I am interested in training your model for trajectory prediction involving 'vehicles,' utilizing datasets such as the Argoverse Motion Forecasting Dataset or the NuScenes Dataset. I have made modifications to the 'process_data.py' file, and now the model can be trained on the vehicle dataset.
However, I am encountering an issue where the training loss does not converge, and the ADE remains at 10 meters. I am wondering if there are any modifications that need to be addressed that I may have overlooked. Additionally, is there any specific initialization hypothesis for 'PEDESTRIAN'? For example, should the 'standardization' in 'process_data.py' be adjusted?
Hello, @Gutianpei
Thank you for your excellent work and for making your code available!
I am interested in training your model for trajectory prediction involving 'vehicles,' utilizing datasets such as the Argoverse Motion Forecasting Dataset or the NuScenes Dataset. I have made modifications to the 'process_data.py' file, and now the model can be trained on the vehicle dataset.
However, I am encountering an issue where the training loss does not converge, and the ADE remains at 10 meters. I am wondering if there are any modifications that need to be addressed that I may have overlooked. Additionally, is there any specific initialization hypothesis for 'PEDESTRIAN'? For example, should the 'standardization' in 'process_data.py' be adjusted?