ModuleNotFoundError: No module named 'utils.datasets'; 'utils' is not a package

[bl146u]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

PyTorch Hub

Bug

I try to load model from a github repo like this

model = torch.hub.load("ultralytics/yolov5", "yolov5s", pretrained=True, force_reload=True)

But I have utils.py in my virtual environment in root, there for I got this exception

  File "/home/bl146u/.cache/torch/hub/ultralytics_yolov5_master/models/common.py", line 25, in <module>
    from utils.datasets import exif_transpose, letterbox
ModuleNotFoundError: No module named 'utils.datasets'; 'utils' is not a package

The only one solution is to rename my utils.py. Maybe this is not a bug, but just a condition for using this package.

Environment

• OS: Manjaro
• Python: 3.7.12

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @bl146u, 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.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

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• Docker Image. See Docker Quickstart Guide

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[glenn-jocher]

@bl146u yes you are correct, torch hub loading may create package conflicts depending on what other files or directories exist in your workspace. This is a byproduct of the torch hub loading scheme more than anything else.

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
• Tutorials – https://docs.ultralytics.com/yolov5
• Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

• Ultralytics HUB – https://ultralytics.com/hub
• Vision API – https://ultralytics.com/yolov5
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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

[bot66]

@bl146u yes you are correct, torch hub loading may create package conflicts depending on what other files or directories exist in your workspace. This is a byproduct of the torch hub loading scheme more than anything else.

Hi@ glenn-jocher Glenn, I want to intergrate yolov5 to my project, but it's really hard to do it when create pretrained yolov5 models:

1. If use torch.hub.load create pretrained model,will create package conflicts.
2. If use torch.load to load attempt_download function downloaded pretrained checkpoint,because of the checkpoint saved the entire model, then its weight can't be loaded via torch.load.

This is frustrating...