pip dependencies

[karmakaragradwip02]

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Question

I am encountering this error when i am running the code in colab:

---

!git clone https://github.com/ultralytics/yolov5.git
%cd yolov5 !pip install -qr requirements.txt import torch from IPython.display import Image, clear_output print('Setup complete. Using torch %s %s' % (torch.version, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))

---

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible. imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.4.0 which is incompatible. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable.It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning. Setup complete. Using torch 2.3.0+cu121 _CudaDeviceProperties(name='Tesla T4', major=7, minor=5, total_memory=15102MB, multi_processor_count=40)

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[github-actions[bot]]

👋 Hello @karmakaragradwip02, 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

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• Google Cloud Deep Learning VM. See GCP Quickstart Guide
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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]

Hi there,

Thank you for reaching out and providing detailed information about the issue you're encountering. It looks like the error is related to dependency conflicts in the packages installed via pip in your Google Colab environment.

To resolve this, you can try the following steps:

1. Upgrade pip: Ensure you have the latest version of pip.

   !pip install --upgrade pip

2. Install specific versions of the conflicting packages: You can manually install the required versions of the conflicting packages to resolve the dependency issues.

   !pip install requests==2.31.0 pillow==10.0.0

3. Reinstall YOLOv5 dependencies: After resolving the conflicts, reinstall the YOLOv5 dependencies.

   !pip install -qr requirements.txt

Here is the complete code snippet you can run in your Colab notebook:

!git clone https://github.com/ultralytics/yolov5.git
%cd yolov5
!pip install --upgrade pip
!pip install requests==2.31.0 pillow==10.0.0
!pip install -qr requirements.txt

import torch
from IPython.display import Image, clear_output
print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))

This should help resolve the dependency conflicts you're experiencing. If the issue persists, please ensure you are using the latest version of YOLOv5 and its dependencies.

Feel free to reach out if you have any further questions or run into any other issues. Happy coding! 😊

[github-actions[bot]]

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