The problem of result

[scxiaowu]

Dear Chen, thanks for sharing this excellent idea, and I am very grateful for you. But there is a question I want to ask you is that I have found all the metrics is 0 after I run eval.py. Could you please tell the reason? Thank you very much!

[yoyomimi]

Please check your eval.log and make sure you have loaded the checkpoint file successfully first~ If it is loaded, pls tell me.

[scxiaowu]

Thanks for your reply! I try to run train.py as follows, but there is still a mistake. So maybe there is a wrong pre-trained checkpoint(detr-r50-e632da11.pth).


Besides, there is also an error when I run eval.py, it shows the path has a problem, but I look up your instruction there is no anno.json in this path, but it is in train and test respectively.

[yoyomimi]

Sorry for the conflict of code train/test edition. I've pushed the new code, pls check that. The pretrain model seems to be fine, the training error is from the dataset file hico_det.py which is in an old edition. The test and train dataset loader seems to be consistent now. If you still get problems with this, pls let me know and I'll check it. Thanks for your efforts~

[scxiaowu]

Thank s for your answer. I hava saved almost problems, but there is a question I want to ask you when I run train.py.

[yoyomimi]

Pls increase your batch size and try again.

[yoyomimi]

Training semantic embedding with a batch that is too small is not effective. I suggest you train the embedding with a bigger batch size following our paper.

[scxiaowu]

OK, I have understood what you say, and I will change a computer that has a bigger memeroy of cuda to try it again! Thanks for your patient reply!