Please update vyolov5.6.2 to support numpy1.20 or higher. about yolov5 HOT 3 OPEN

Thank you for the detailed report! 👍

It seems you've encountered a compatibility issue with numpy versions. The numpy.int attribute error is known to occur with numpy 1.20 and above due to deprecation of certain aliases for Python built-in types.

To prevent numpy from automatically updating, you can try pinning its version right after installing YOLOv5's requirements. Here's a modified step to include after your step 2:

!pip install numpy==1.19.5

This ensures numpy remains at version 1.19.5 throughout your training session. If you still encounter issues, consider creating a virtual environment specifically for your YOLOv5 project to better manage dependency versions.

We appreciate your willingness to submit a PR. Enhancements for compatibility with newer numpy versions can certainly benefit the community. For further guidance on contributing, refer to our documentation at https://docs.ultralytics.com/yolov5/.

Your collaboration helps us all! 🌟

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👋 Hello @FN4321, 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.

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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

Status

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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

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👋 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.

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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 YOLO 🚀 and Vision AI ⭐

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