Comments (2)
Hey! It has been a long time so I kind of forget the detail now. But I do remember that I have augmented the training with the tracking training dataset. The pre-trained model on OpenPCDet is for the KITTI detection benchmark so it may not be optimal for the tracking benchmark
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Hi Xinshuo,
I am a little bit confused still. I think the val dataset is the same as the training dataset for KITTI tracking, right?
Then the object detector is trained on the val set. And the AB3DMOT code, using those object detections, is evaluated on the val set.
Wouldn't this be a problem for the results? Maybe I misunderstand what is meant by KITTI val set?
I think the question of what the object detector was trained on is therefore very important for the results.
Thank you
Vassili
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Related Issues (20)
- HOTA
- C++ implement HOT 1
- Converting nuScenes detections to KITTI format missing correspondence files HOT 3
- Can you share the new change lists of the code this year?
- Question about the KITTI detections. HOT 2
- Project dependencies may have API risk issues
- Question about visualization HOT 2
- carefully followed provided installation instructions, got FileNotFoundError HOT 8
- real-time data HOT 4
- 无法评估的问题
- Detector/Training procedure to get the provided detections HOT 1
- 请问是否修改过工程 HOT 1
- A question about detection results which in data/KITTI/detection/
- Speed optimization and parameter choice for custom detector
- Do you have ab3dmot c++ version code? HOT 1
- a question about function"get_ego_traj" HOT 1
- 请问如何修改别的检测结果作为输入进行实验?
- 'Box3D' object has no attribute 'o'
- sAMOTA, AMOTA, AMOTP, MOTA
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