Xu Qu comments

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                                            Xu Qu

Some confusion about the paper

Thanks for your reply! However, I still a confusion about your work, Is the result of train sets in the public detection and private detection generated by run the track.py?...

Some confusion about the paper

@timmeinhardt Thanks for your quickly reply! When I submit the result to the evaluation server, Should I set whether the test is public or private detection in the evaluation server?...

Some confusion about the paper

Thanks for your reply! Issue closed

ms_deform_attn_cpu.o: No such file or directory

I met the same problem, did you solved?

Why different between train and inference during the date association？

Thanks for your reply! Section 3.2 of your paper mentions that '_The simultaneous Transformer decoding of object and track queries allows our model to perform detection and tracking in a...

Why different between train and inference during the date association？

@timmeinhardt Thanks for your reply! When I try to train the model to reproduce your result, but the metrics such as MOTA and IDF1 are one percentage point less than...

Why different between train and inference during the date association？

Train commands I used: `python src/train.py with \ mot17_crowdhuman \ deformable \ multi_frame \ tracking \ output_dir=models/mot17_crowdhuman_deformable_multi_frame \` eval commands I used: `python src/track.py with reid`

Why different between train and inference during the date association？

Hi, I want to reproduce the result mentioned in the document README.md. I ran the `python src/track.py with reid `and saved the result by modified the `output_dir` in the config...

Why different between train and inference during the date association？

I retrained the model as command of document of `TRAIN.md`. And the MOTA scores are as follows: Public detection: train 64.7% test 61.23% Private detection: train 73.4% test 70.48%

Why different between train and inference during the date association？

I did all as you said and nothing wrong evaluate on your pretrained models. I would like to know if it is related to the GPU, I trained it only...