The question for training. about siamdw HOT 8 CLOSED

"2>&1 | tee logs/siamfc_train.log" what is it:?

And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

1. To generate a log file.
2. I believe these simple questions can be found answers on Baidu or Google. There is no need to open an issue to ask what a shell command means.
3. I never meet Broken pipe errors while training. It seems something wrong with your CUDA or pytorch.

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?

And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

RuntimeError: Error(s) in loading state_dict for SiamRPNRes22:
size mismatch for connect_model.template_cls.bias: copying a param of torch.Size([5120]) from checkpoint, where the shape is torch.Size([1280]) in current model.
size mismatch for connect_model.template_cls.weight: copying a param of torch.Size([5120, 512, 3, 3]) from checkpoint, where the shape is torch.Size([1280, 512, 3, 3]) in current model.
size mismatch for connect_model.template_reg.bias: copying a param of torch.Size([10240]) from checkpoint, where the shape is torch.Size([5120]) in current model.
size mismatch for connect_model.template_reg.weight: copying a param of torch.Size([10240, 512, 3, 3]) from checkpoint, where the shape is torch.Size([5120, 512, 3, 3]) in current model.
size mismatch for connect_model.search_cls.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_cls.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
size mismatch for connect_model.search_reg.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_reg.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.

I update the code and the above error occurred when i use SiamRPNRes22 and CIResNet22_RPN.pth to test. It was not appear in the code before.

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

RuntimeError: Error(s) in loading state_dict for SiamRPNRes22:
size mismatch for connect_model.template_cls.bias: copying a param of torch.Size([5120]) from checkpoint, where the shape is torch.Size([1280]) in current model.
size mismatch for connect_model.template_cls.weight: copying a param of torch.Size([5120, 512, 3, 3]) from checkpoint, where the shape is torch.Size([1280, 512, 3, 3]) in current model.
size mismatch for connect_model.template_reg.bias: copying a param of torch.Size([10240]) from checkpoint, where the shape is torch.Size([5120]) in current model.
size mismatch for connect_model.template_reg.weight: copying a param of torch.Size([10240, 512, 3, 3]) from checkpoint, where the shape is torch.Size([5120, 512, 3, 3]) in current model.
size mismatch for connect_model.search_cls.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_cls.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
size mismatch for connect_model.search_reg.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_reg.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.

I update the code and the above error occurred when i use SiamRPNRes22 and CIResNet22_RPN.pth to test. It was not appear in the code before.

get_eao.m
pwd = ['G:\data\tracking\VOT\vot-toolkit-master', 'vot-workspace', '2016'] % year is a str (can not be a number)
How to configure here? I am a newer and chicken，so there are more problems. Sorry.

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

RuntimeError: Error(s) in loading state_dict for SiamRPNRes22:
size mismatch for connect_model.template_cls.bias: copying a param of torch.Size([5120]) from checkpoint, where the shape is torch.Size([1280]) in current model.
size mismatch for connect_model.template_cls.weight: copying a param of torch.Size([5120, 512, 3, 3]) from checkpoint, where the shape is torch.Size([1280, 512, 3, 3]) in current model.
size mismatch for connect_model.template_reg.bias: copying a param of torch.Size([10240]) from checkpoint, where the shape is torch.Size([5120]) in current model.
size mismatch for connect_model.template_reg.weight: copying a param of torch.Size([10240, 512, 3, 3]) from checkpoint, where the shape is torch.Size([5120, 512, 3, 3]) in current model.
size mismatch for connect_model.search_cls.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_cls.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
size mismatch for connect_model.search_reg.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_reg.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
I update the code and the above error occurred when i use SiamRPNRes22 and CIResNet22_RPN.pth to test. It was not appear in the code before.

get_eao.m
pwd = ['G:\data\tracking\VOT\vot-toolkit-master', 'vot-workspace', '2016'] % year is a str (can not be a number)
How to configure here? I am a newer and chicken，so there are more problems. Sorry.

1. The first problem has been fixed. An additional key word cls_type is needed. See test.md
2. You should set up vot-toolkit according to official tutorial
3. It's suggested that you should read some papers to get familiar with common tracking benchmarks.
4. Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
5. If you have fixed this problem, please close this issue.

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

RuntimeError: Error(s) in loading state_dict for SiamRPNRes22:
size mismatch for connect_model.template_cls.bias: copying a param of torch.Size([5120]) from checkpoint, where the shape is torch.Size([1280]) in current model.
size mismatch for connect_model.template_cls.weight: copying a param of torch.Size([5120, 512, 3, 3]) from checkpoint, where the shape is torch.Size([1280, 512, 3, 3]) in current model.
size mismatch for connect_model.template_reg.bias: copying a param of torch.Size([10240]) from checkpoint, where the shape is torch.Size([5120]) in current model.
size mismatch for connect_model.template_reg.weight: copying a param of torch.Size([10240, 512, 3, 3]) from checkpoint, where the shape is torch.Size([5120, 512, 3, 3]) in current model.
size mismatch for connect_model.search_cls.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_cls.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
size mismatch for connect_model.search_reg.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_reg.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
I update the code and the above error occurred when i use SiamRPNRes22 and CIResNet22_RPN.pth to test. It was not appear in the code before.

get_eao.m
pwd = ['G:\data\tracking\VOT\vot-toolkit-master', 'vot-workspace', '2016'] % year is a str (can not be a number)
How to configure here? I am a newer and chicken，so there are more problems. Sorry.

1. The first problem has been fixed. An additional key word cls_type is needed. See test.md
2. You should set up vot-toolkit according to official tutorial
3. It's suggested that you should read some papers to get familiar with common tracking benchmarks.
4. Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
5. If you have fixed this problem, please close this issue.

The first problem occurred when i ran the run_video.py. I will close this issue after I solved this problem.Thank you very much。

from siamdw.

"2>&1 | tee logs/siamfc_train.log" what is it:?
And when i running the training code. There is a mistake ---"BrokenPipeError: [Errno 32] Broken pipe".

Hello~
Have you fixed your problem? If yes, this issue will be closed.

OK,I will try it again. Thank you

RuntimeError: Error(s) in loading state_dict for SiamRPNRes22:
size mismatch for connect_model.template_cls.bias: copying a param of torch.Size([5120]) from checkpoint, where the shape is torch.Size([1280]) in current model.
size mismatch for connect_model.template_cls.weight: copying a param of torch.Size([5120, 512, 3, 3]) from checkpoint, where the shape is torch.Size([1280, 512, 3, 3]) in current model.
size mismatch for connect_model.template_reg.bias: copying a param of torch.Size([10240]) from checkpoint, where the shape is torch.Size([5120]) in current model.
size mismatch for connect_model.template_reg.weight: copying a param of torch.Size([10240, 512, 3, 3]) from checkpoint, where the shape is torch.Size([5120, 512, 3, 3]) in current model.
size mismatch for connect_model.search_cls.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_cls.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
size mismatch for connect_model.search_reg.bias: copying a param of torch.Size([512]) from checkpoint, where the shape is torch.Size([256]) in current model.
size mismatch for connect_model.search_reg.weight: copying a param of torch.Size([512, 512, 3, 3]) from checkpoint, where the shape is torch.Size([256, 512, 3, 3]) in current model.
I update the code and the above error occurred when i use SiamRPNRes22 and CIResNet22_RPN.pth to test. It was not appear in the code before.

get_eao.m
pwd = ['G:\data\tracking\VOT\vot-toolkit-master', 'vot-workspace', '2016'] % year is a str (can not be a number)
How to configure here? I am a newer and chicken，so there are more problems. Sorry.

1. The first problem has been fixed. An additional key word cls_type is needed. See test.md
2. You should set up vot-toolkit according to official tutorial
3. It's suggested that you should read some papers to get familiar with common tracking benchmarks.
4. Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
5. If you have fixed this problem, please close this issue.

The first problem occurred when i ran the run_video.py. I will close this issue after I solved this problem.Thank you very much。

I have solved this problem.

from siamdw.