After converting from .pt to .torchscript, bounding box is off

[willsonyee]

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Question

I am playing around with YOLOv5 and exporting to different formats (.pt & .torchscript). But I found that after I exported the pre-trained models using this command:
!python "/content/drive/MyDrive/yolov5/export.py" --weights "/content/drive/MyDrive/yolov5/yolov5s.pt" --include torchscript

The .torchscript model's bounding is off, please advise me on why this is happening and how to resolve it. Thank you.

.pt model:

.torchscript model:

Additional

No response

[github-actions]

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[glenn-jocher]

@willsonyee 👋 hi, thanks for letting us know about this possible problem with YOLOv5 🚀. Torchscript export and inference works well for me, I'm unable to reproduce any box issues.

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[willsonyee]

@glenn-jocher thanks for your prompt response.

I am running the code like this:

import torch
model = torch.hub.load('/content/drive/MyDrive/yolov5', 'custom', path='/content/drive/MyDrive/yolov5/yolov5s.torchscript', source='local')
result = model("/content/drive/MyDrive/yolov5/data/images/zidane.jpg")
result.save() 

The reason I am doing it like this because I am trying to load the model from local and inference without using the detect.py. So I can later on integrate the .torchscript model into my swift IOS app.

Could you advise me why by running the code I attached will cause the bounding box off ?

[glenn-jocher]

@willsonyee ah yes you are right there is a bug. I'm able to reproduce with this code:

!python export.py --weights yolov5s.pt --include torchscript
model = torch.hub.load('ultralytics/yolov5', 'custom', path='yolov5s.torchscript')
result = model("data/images/zidane.jpg")
result.save()

I'll take a look!