Training details

[Harry333777]

We greatly appreciate the author's contribution. We are attempting to replicate this work, but we have encountered obstacles during the training process. The dataset is 'reprocessed' at the start of each training session.Below is the list of files from our preprocessed dataset and the training command.

[youngzhou1999]

Hi, thanks for running our code.

Sorry for the confusion. The downloaded pkl files (as the p1_root argument) are the prediction results by hivt (we refer to 'trajectory generation backbone' in our original paper). For training, it's necessary to process raw data to pkl files for our refinement.

If you do have your own preprocessed dataset, you can edit this function (like return directly) https://github.com/opendilab/SmartRefine/blob/main/datamodules/argoverse_v1_datamodule.py#L37, so the pipeline won't process data again. Also, this may need some extra editing in the dataset.py file case by case.

Hope it helps. Feel free to ask if you have any further concerns.

[Family-Liao]

have you met this error？ @Harry333777