M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
I filtered the interactive training data using the command in the readme. That command generated 1000 files in the output directory. Their total size is 242G.
However, when running the command for "Training Relation Predictor", an assertion error was thrown. The length of len(self.ex_list) is 0, which is smaller than 200.
I filtered the interactive training data using the command in the readme. That command generated 1000 files in the output directory. Their total size is 242G.
However, when running the command for "Training Relation Predictor", an assertion error was thrown. The length of len(self.ex_list) is 0, which is smaller than 200.