Evaluation of BDD100K MOTS

[nhlben]

When I run the script for MOTS as in TEST.md with

# convert to BDD100K format (bitmask)
python3 tools_bin/to_bdd100k.py --res outputs/${EXP_NAME}/inference/instances_predictions_init_0.40_obj_0.30.pkl --task seg_track --bdd-dir . --nproc 32
# evaluate
bash tools_bin/eval_bdd_submit.sh

The evaluation obtains 0 for all metrics, so probably the file it is referring to is empty. And I check the script of tools_bin/to_bdd100k.py, seems like it does not save any file in the preds2bdd100k function. Is it as expected and I am missing something, or there is another problem?

[MasterBin-IIAU]

@nhlben Hi, take UNINEXT with ResNet-50 backbone as an example, first you need to run python3 tools_bin/grid_search_bdd.py --config_name eval-vid/video_joint_r50_eval_mot.yaml --exp_dir_name video_joint_r50 as shown in infer.sh to obtain instances_predictions_init_0.40_obj_0.30.pkl. Then you need to run commands in the TEST.md and please replace ${EXP_NAME} . with detailed name such as video_joint_r50.