Closed PushpakBhoge512 closed 1 year ago
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@PushpakBhoge512 hi there! Thank you for reaching out and providing all the necessary details. The error seems to be coming from the utils.general
module where is_notebook
cannot be imported. This might be due to a cache issue. Can you try adding force_reload=True
to your torch.hub.load()
call and see if that resolves the issue? Like this:
model = torch.hub.load("ultralytics/yolov5", "custom", weights_path, force_reload=True)
Let me know if that helps. To answer your additional question, saving as pickle directly might be due to project-specific requirements and could depend on the structure of the model object. As for your environment being slightly different from the one trained on, that might also be a factor. Hope this helps!
force_reload=True
is not working I have tried it
@glenn-jocher so if I trained in one environment and tried to load that model on some other environment where some unrelated things were different will that cause an issue? should I try retraining on exact same environment ?
I have the same issue.
@glenn-jocher found the error turns out the model was trained with yolov5 (pip package) hence it was not working @amir-sbg this might be true in your case check once
Thank you for the update, @PushpakBhoge512. It's good to hear that you found the cause of the error. Please note that the model training environment can impact the model's performance, and training the model on the same environment could help maintain consistency and accuracy. As for the issue with yolov5
package, thank you for sharing this with the community. This information could help other users who might be experiencing similar issues. Let us know if you need further assistance.
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YOLOv5 Component
PyTorch Hub
Bug
getting the following error when loading via
torch.hub.load()
, it appears to be coming only for this weights file. my other weights file work finesnippet
Error
Environment
Yolov5 latest main branch python 3.9 RTX 3080 Ti cu 11.3 wsl2
Minimal Reproducible Example
Additional
why do we save model objects directly as pickles and not weights OrderedDict ? is it possible this error is coming because of this?
environment this was trained on might be slightly different
Are you willing to submit a PR?