ultralytics/yolov3

The download link for the pre-trained weights on the archive branch of yolov3 is invalid

DaZhUUU opened this issue · 9 comments

DaZhUUU commented

Search before asking

  • I have searched the YOLOv3 issues and found no similar bug report.

YOLOv3 Component

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Bug

The download link for the pre-trained weights on the archive branch of yolov3 is invalid and reports a 404 error.

Environment

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Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
github-actions commented

👋 Hello @DaZhUUU, thank you for your interest in YOLOv3 🚀! 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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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

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

Environments

YOLOv3 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

YOLOv3 CI

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Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

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glenn-jocher commented

@DaZhUUU thank you for bringing this issue to our attention. We apologize for the inconvenience caused by the invalid download link for the pre-trained weights on the archive branch of YOLOv3.

We will investigate and resolve this issue as soon as possible. Your patience and understanding are greatly appreciated.

If you have any further questions or need assistance with anything else, please don't hesitate to ask.

DaZhUUU commented

@glenn-jocher Another question is that I can't find thr pretrained weight for yolov3 on tha master branch. Please put them in a prominent place. Thx.

glenn-jocher commented

@DaZhUUU hi there! Thank you for bringing this to our attention. We apologize for any inconvenience caused by the absence of the pre-trained weights for YOLOv3 on the master branch.

Finding pre-trained weights for YOLOv3 can sometimes be confusing due to different branches and repositories. However, we recommend checking out the Ultralytics YOLOv3 repository at GitHub to find the latest pre-trained weights and other related resources.

Our team is continuously working on improving the user experience, and we appreciate your feedback. If you have any further questions or need assistance, please feel free to ask.

DaZhUUU commented

@glenn-jocher Sorry, I can't find any pre-trained weights based on torch in previous versions. Either the links are invalid or it's code repository for yolov5. Please give me a working link or tell me when it can be fixed. THX.

glenn-jocher commented

@DaZhUUU Thank you for reaching out! I apologize for the confusion. It seems there might be some confusion with the pre-trained weights for YOLOv3.

The pre-trained weights for YOLOv3 can be found in the archive branch of the Ultralytics YOLOv3 repository. However, it appears that the download link for the pre-trained weights on that branch is currently not working.

I have noted the issue and will make sure to address it promptly. Thank you for bringing this to our attention, and we appreciate your patience.

If you have any further questions or need assistance, please feel free to ask.

YouCaiJun98 commented

It seems that the link for the pretrained yolov3 net is not updated on the archive branch. I wonder if you could update the link. THX :)

github-actions commented

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

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 YOLO 🚀 and Vision AI ⭐

glenn-jocher commented

@YouCaiJun98 Thank you for your patience and understanding. We are aware of the issue with the link for the pre-trained YOLOv3 net on the archive branch and are working to resolve it as soon as possible.

Your feedback is valuable to us, and we appreciate your understanding. If you have any other questions or concerns, please feel free to let us know.