Open NooneOnlyOne opened 3 years ago
I think it is the problem of the epoch. You can try the checkpoint of the 45-th epoch.
I think it is the problem of the epoch. You can try the checkpoint of the 45-th epoch.
I used the checkpoint of the 45-th epoch of Flow and RGB and During flow and RGB training and testing, the ft_path in the PGCNDataSet class was changed. So I get the above resluts
Yeah, your path is right. You can try the best checkpoint or other checkpoints. By the way, Are your parameter settings correct? Such as the pytorch version and the learning rate. If your answer is yes, you can run the code again. The results of others who run the code don’t have a such big performance gap like yours.
Thsnks,I think I have found the problem. I changed the batch_size to 128, so there is a big gap with your paper. However, I still have a question, why use checkpoint of the 45-th epoch of Flow to run test.sh
multiple times and get different results
I also found such a problem which may come from the proposal sampling of PGCN. And I think it is in normal variance.
I also found such a problem which may come from the proposal sampling of PGCN. And I think it is in normal variance.
I think your work is well done. I am very interested in your method. Can you give me the code for the Anet1.3 dataset? I want to do some work on your basis. If you can, my email is15163881521@163.com
, Thanks
Thank you for your attention to our work. Since some files in Anet1.3 involve my follow-up work, I cannot give you. But you can simply reproduce the code based on pgcn and a suitable video-level classification network.
In addition, you also can get a stronger baseline by adding l-net and g-net into any open source two-stage method.
Thank you for your attention to our work. Since some files in Anet1.3 involve my follow-up work, I cannot give you. But you can simply reproduce the code based on pgcn and a suitable video-level classification network.
ok,thanks
Hi ,I get the mAP (%) of tIoU thresholds from 0.1 to 0.9 the Flow result the RGB result and
run test_two_stream.sh
the resultWhy is there a big gap between the results I got and the results of your paper, especially Flow result and the final result