`pretrained=False` bug

[junyuancat1]

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Question

Hi there,
I simply want to train two-classification model, such as cat and dog, or 0 and 1.
so that I want to use branch classifer with out pretrained model.
I found that the classifier.py will load pretrained torchhub model anyway, is there any method to disable loading pretrained model and ?

Additional

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[github-actions]

👋 Hello @junyuancat1, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[hrnbot]

@junyuancat1 you can use --weights '' " to start learning from scratch.

[junyuancat1]

@hrnbot thanks for answer man~
But in branch classifier, the pythonfile classifier.py is used to train a classifer instead of train.py, and there's not an option --weights in classifier.py ,the model is initing by torch hub.load.
The train.py in this branch still contain the conception of anchor, but u known the classifer should not contain anchor like detector does, so I guess the train.py could not be used in this branch.

[junyuancat1]

using model yolov5s
if i change the option pretrained = false ,there will be some urlerror occur[connection timed out].
maybe i should check my connection first

[junyuancat1]

ok ,there's no more url error
it shows that Exception: Cache may be out of date, try force_reload=True by loading model
model = torch.hub.load('ultralytics/yolov5', opt.model, autoshape=False ,pretrained=False)

[glenn-jocher]

@junyuancat1 I'm able to reproduce a pretrained=False error. I will investigate today.