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Ultralytics Module does not exist #11945

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kessmith opened this issue Aug 6, 2023 · 4 comments · Fixed by #11950
Closed
1 of 2 tasks

Ultralytics Module does not exist #11945

kessmith opened this issue Aug 6, 2023 · 4 comments · Fixed by #11950
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bug Something isn't working fixed Bug has been resolved

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@kessmith
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kessmith commented Aug 6, 2023

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

YOLOv5 Component

Detection, PyTorch Hub, Integrations

Bug

Recently there was an addition to the code base to include the following logic from ultralytics.utils.plotting import Annotator

Changes like this that where added to the code base are breaking changes that make it so that you can't run the Yolov5 pytorch hub anymore as it was previously.

Now, within the code you are getting the following error:
image

There is no folder called Ultralytics and there is no folder/file called plotting.

Please look into this. If I am crazy and I am missing something that would resolve this error please also let me know.

Environment

No response

Minimal Reproducible Example

sys.path.append(str(ROOT)) # add ROOT to PATH
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative

from ultralytics.utils.plotting import Annotator

Additional

No response

Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@kessmith kessmith added the bug Something isn't working label Aug 6, 2023
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github-actions bot commented Aug 6, 2023

👋 Hello @kessmith, 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 a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

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

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

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:

pip install ultralytics

@glenn-jocher
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@kessmith this issue seems to be related to the recent addition of the from ultralytics.utils.plotting import Annotator line in the code. As stated, it's causing an error because there is no folder called Ultralytics and no file called plotting in the YOLOv5 codebase.

This issue needs to be looked into by the YOLOv5 maintainers. It's possible that there may have been an error in the recent changes.

If you believe that you may be missing something and there's a solution to resolve this error, please include it in your response.

Thank you for bringing this to our attention. We will investigate and work to resolve the issue.

@glenn-jocher
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@kessmith I looked into this and I am able to reproduce your error if i.e. I start from a fresh colab notebook.

The simplest way to fix this is to pip install ultralytics as we show in our YOLOv5 PyTorch Hub guide https://pytorch.org/hub/ultralytics_yolov5/#before-you-start

Screenshot 2023-08-07 at 01 16 33

I understand it would be simpler without the pip install step. I'll look into solutions there, but for now this will solve your problem!

glenn-jocher added a commit that referenced this issue Aug 7, 2023
#11945

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
glenn-jocher added a commit that referenced this issue Aug 7, 2023
* Fix missing `ultralytics` package on `torch.hub.load()`

#11945

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update common.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update common.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update general.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
@glenn-jocher
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@kessmith good news 😃! Your original issue may now be fixed ✅ in PR #11950. This should allow you to use YOLOv5 with torch.hub.load() without installing any prerequisites first (everything should be installed automatically on first use).

To receive this update:

  • Gitgit pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
  • PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
  • Notebooks – View updated notebooks Run on Gradient Open In Colab Open In Kaggle
  • Dockersudo docker pull ultralytics/yolov5:latest to update your image Docker Pulls

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

@glenn-jocher glenn-jocher added fixed Bug has been resolved and removed TODO labels Aug 7, 2023
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