velodyne_reduced path issue

[FrankCAN]

Hi, thanks for sharing your great work, but I got a problem when I use rrc detector to train the model, the error is as below:

Det ratio 1.5 Only calculate the last transform with weight 0.001 Building dataset using dets file ./data/RRC_Detections_mat/train Detect [0] in [0/3999] images with detections Add [0] cars in [0/3999] images Building dataset using dets file ./data/RRC_Detections_mat/train Detect [0] in [0/3999] images with detections Add [0] cars in [0/3999] images Building dataset using dets file ./data/RRC_Detections_mat/train Detect [0] in [0/3864] images with detections Add [0] cars in [0/3864] images Traceback (most recent call last): File "/home/chencan/Phd_Projects/01_tracking/mmMOT/main.py", line 275, in main() File "/home/chencan/Phd_Projects/01_tracking/mmMOT/main.py", line 89, in main last_iter=last_iter) File "/home/chencan/Phd_Projects/01_tracking/mmMOT/utils/train_util.py", line 116, in init self.indices = self.gen_new_list() File "/home/chencan/Phd_Projects/01_tracking/mmMOT/utils/train_util.py", line 133, in gen_new_list num_repeat = (all_size - 1) // origin_indices.shape[0] + 1 ZeroDivisionError: integer division or modulo by zero

I checked the code that the problem comes from the unavailable path "point_path = f'{root_dir}/velodyne_reduced/{seq_id}-{frame_id}.bin', which leads to empty detect results."

So I just wonder if I missed some important steps for data preprocessing or it is a bug.

Many thanks for your help.

[ZwwWayne]

Hi @FrankCAN , Could you check which frame is missing? For example, what is the sequence ID and frame ID? It seems that no detection boxes are loaded during training.

[FrankCAN]

Hi, thanks for your response. I finally managed to train your rrc version model, and also submitted it to the server. The accuracy results are quite similar to yours on the paper, but the big issue is the ID-switch result and Fragment result. What I got are as below:

ID-switches 400 Fragmentations 859

But your results are ID-switches 284 Fragmentations 753

I don't understand why all other metrics are quite similar, or even the same for some metrics, but only ID-s and Frag are quite different. And also how to train your model and achieve similar results?

Many thanks for your help.