Comments (8)
"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".
- To generate a log file.
- 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.
- I never meet Broken pipe errors while training. It seems something wrong with your CUDA or pytorch.
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"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.
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"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.
- The first problem has been fixed. An additional key word
cls_type
is needed. See test.md - You should set up vot-toolkit according to official tutorial
- It's suggested that you should read some papers to get familiar with common tracking benchmarks.
- Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
- 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.
- The first problem has been fixed. An additional key word
cls_type
is needed. See test.md- You should set up vot-toolkit according to official tutorial
- It's suggested that you should read some papers to get familiar with common tracking benchmarks.
- Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
- 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.
- The first problem has been fixed. An additional key word
cls_type
is needed. See test.md- You should set up vot-toolkit according to official tutorial
- It's suggested that you should read some papers to get familiar with common tracking benchmarks.
- Any proplem not related to this code please email me ([email protected]). I can give you more guildence through email than git-issue.
- 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.
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Related Issues (20)
- Tracker Parameters HOT 1
- can't reproduced the result in paper HOT 3
- "Set up VOT-Toolkit according to official tutorial" HOT 1
- occlusion problem while testing HOT 1
- 请问SiamDW_T的训练方式是否和SiamDW一样 HOT 2
- vot测试结果 HOT 4
- 请问每个epoch使用多少对数据?
- 使用新資料重新訓練模型
- How do I get pre trained my Backbone network with imagenet?
- torch.nn.modules.module.ModuleAttributeError: 'SiamRPNRes22' object has no attribute 'module'
- How you get the pretrain model? HOT 4
- When i test,i use"python siamese_tracking/run_video.py --arch SiamRPNRes22 --resume snapshot/CIResNet22_RPN.pth --video videos/bag.mp4",but there is a KeyError:"SiamRPNRes22" HOT 1
- test problems
- failed to fetch data from googledrive
- failed to download protained_model in SiamDW_T,it's not found
- the number
- the number of parameters and flops of tracker
- The argument list of lib/core/workspace_load.m may be wrong.
- 关于ResNet22W的训练过程 HOT 2
- Failed to reach google drive's link
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