test error

[jinyl777]

When I run the test I got
result = self.forward(*input, **kwargs)
TypeError: forward() missing 1 required positional argument: 'inputs'

I debug the test ,then I find the error occur in modle.py:335
if last_feat is None:
return torch.zeros(0), torch.zeros(0, 4), features
my conput env is four 2080Ti python0.41 and I don not know why it is occur

[chtx827]

I get the same error.

[ZhangwenguangHikvision]

I get the same error.

[pjl1995]

I test it and do not encounter these problems.
You need to use the latest code and install the environment according to the readme.
And maybe you can check the --dataset_path and --model_dir whether they are as required.

[ZhangwenguangHikvision]

One simple solution may just use one GPU, "CUDA_VISIBLE_DEVICES=0, python train.py"

[chtx827]

Thanks, I solved it by using one GPU.

[zhengjyu]

Thanks, I solved it by using one GPU.

Could you tell me your memory on GPU? There is only 11G memory in my 2080Ti, It will out of memory。But when I set batch_size=4 and num_workers=16, The #13 will be occur. Have you ever encountered such a problem？

[chtx827]

Thanks, I solved it by using one GPU.

Could you tell me your memory on GPU? There is only 11G memory in my 2080Ti, It will out of memory。But when I set batch_size=4 and num_workers=16, The #13 will be occur. Have you ever encountered such a problem？

My GPU is the same as yours. Maybe you can switch to Pytorch ==1.4.0.

[zhengjyu]

Thanks, I solved it by using one GPU.

Could you tell me your memory on GPU? There is only 11G memory in my 2080Ti, It will out of memory。But when I set batch_size=4 and num_workers=16, The #13 will be occur. Have you ever encountered such a problem？

My GPU is the same as yours. Maybe you can switch to Pytorch ==1.4.0.

OK thank you very much

[jinyl777]

@ZhangwenguangHikvision Is I train on one GPU and then test can slove this problem?

[jinyl777]

@pjl1995 I train 100 epoch the last loss is 0.4 .And I test MOT16 train dateset ,got MOTA is 65.2 . I think is low of your paper is it code can not recurcent

[pjl1995]

You train on MOT17 training set, so you should test this model on MOT17 test set, instead of the MOT16 training set.

[LiangXiaoguo]

Thank you very much for your excellent work, I would like to know whether the MOT7 dataset only keeps the pictures within each sequence for training

[pjl1995]

Thank you very much for your excellent work, I would like to know whether the MOT7 dataset only keeps the pictures within each sequence for training

Yes.

[JuntongMeng]

@pjl1995 I train 100 epoch the last loss is 0.4 .And I test MOT16 train dateset ,got MOTA is 65.2 . I think is low of your paper is it code can not recurcent
hi
Are you using a pretrained model in training