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BEV Benchmark Evaluation

The evaluation code of BEV is integrated into simple-romp, evaluation folder.

To run the evaluation, please first install simple-romp following the guidance.
To prepare the evaluation datasets, please refer to dataset.md.
In each evaluation code, please set the dataset path and output_save_dir for saving the predictions.

Relative Human

Please properly set the path in simple_romp/evaluation/eval_Relative_Human.py and then run

cd simple_romp/evaluation
python eval_Relative_Human.py

You can also download the predictions.

AGORA

Please properly set the path in simple_romp/evaluation/eval_AGORA.py and then run

cd simple_romp/evaluation
python eval_AGORA.py

CMU Panoptic

Please properly set the path in simple_romp/evaluation/eval_cmu_panoptic.py and then run

cd simple_romp/evaluation
python eval_cmu_panoptic.py

You can also download the predictions and then set the results path in evaluation_results function to get the matrix numbers.