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How do you handle waymo instance annotations? I use waymo dataset to train the condinst and boxinst on mmdet2.x. But boxinst's mAP is higher then condisnt mAP.I suspect I mishandled the instance annotations.

Thank you for you great work!
May I ask when the code will be released?

When I open adet/modeling/condinst/dynamic_mask_head.py and adet/modeling/condinst/register_lidar_annotations.py on Windows, I find that these two files are corrupted:
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When I reproduced CondInst, the results were different from those provided in the paper.
I train the ResNet50-Condinst for 90K iterations with batch size 16 on 4 3090 GPUs.
The results were as follows:
AP 32.015 AP50 57.328 AP75 30.931
CAR 43.365 Ped 33.444 Cyc 19.237
According to my observation, there is no instance id in waymo dataset with bicycle and ped object.