ImportError: cannot import name 'check_requirements' from 'utils.general'

[RileyMccon]

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

YOLOv5 Component

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Bug

I have been trying to run inference on a custom yolov5 model. I have cloned the repo and installed according to the instructions, yet keep running into this error. Very recent, as it worked up until a couple days ago.

ImportError: cannot import name 'check_requirements' from 'utils.general'

Environment

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Minimal Reproducible Example

weight = #path to model
model = torch.hub.load("ultralytics/yolov5", "custom", path=weight) # custom model

Additional

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Are you willing to submit a PR?

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

[github-actions]

👋 Hello @RileyMccon, 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>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. 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):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• 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]

@RileyMccon hello! It seems like you're facing an import issue with check_requirements from utils.general. This is often due to a mismatch between the codebase and the dependencies installed, or potentially a path issue. 🙂

Here are a few steps to try and resolve this:

1. Ensure your local repository is up to date with the latest changes from the Ultralytics YOLOv5 GitHub repository. A recent update could have altered paths or dependencies.
2. Check your Python environment to make sure it's correctly set up and activated. Sometimes, environmental issues can cause these import errors.
3. Run pip install -r requirements.txt from the root of the cloned YOLOv5 repository to ensure all dependencies are correctly installed and up to date.

If these steps don't resolve the issue, consider deleting the YOLOv5 directory, cloning the repository again, and following the installation instructions afresh. This can sometimes fix unanticipated issues caused by changes or corruption in the local setup.

Feel free to share any updates or additional information after trying these steps. The YOLO community and the Ultralytics team are here to help!