No module named 'ultralytics.yolo'

[zcqacqwc]

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Question

I'm running YOLOv3 in a Docker environment. My Python version is 3.10.9, and I've installed ultralytics and ultralytics.yolo using pip and pip3. However, when I use the command python3 train.py --epochs 250 --workers 8 --device 0,1,2,3 --data /style/yolov3/data/data.yaml --img 640 --cfg /style/yolov3/models/yolov3.yaml --weights /style/yolov3/yolov3u.pt --name yoloyolo --hyp /style/yolov3/data/hyps/hyp.scratch-high.yaml, I encounter ModuleNotFoundError: No module named 'ultralytics.yolo'. Even though pip list and pip3 list show that ultralytics.yolo is installed properly, why is this issue happening? Is there a solution?

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[github-actions]

👋 Hello @zcqacqwc, 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/yolov3  # clone
cd yolov3
pip install -r requirements.txt  # install

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• Docker Image. See Docker Quickstart Guide

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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]

Hello! It looks like there might be a bit of confusion with package names and installation. For YOLOv3 by Ultralytics, you don't need to install a package named ultralytics.yolo. Instead, you should ensure you have the yolov3 repository cloned from GitHub and all requirements installed via pip install -r requirements.txt from within the cloned yolov3 directory.

Here's a quick checklist:

1. Ensure you've cloned the YOLOv3 repo.
2. Navigate to the yolov3 folder in your terminal.
3. Run pip install -r requirements.txt to install dependencies.

Please remove any installations of ultralytics.yolo as it's not part of the YOLOv3 setup. If you encounter further issues, please refer to the documentation at https://docs.ultralytics.com for detailed setup instructions. 😊

If this doesn't resolve your issue or if you have more questions, feel free to ask.