Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel

#20059 Fix YOLOv8-ONNXRuntime example links

Merged
Ghost merged 1 commits into Ultralytics:main from ultralytics:fix-example-links
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
  1. # Ultralytics ๐Ÿš€ AGPL-3.0 License - https://ultralytics.com/license
  2. # Ultralytics Actions https://github.com/ultralytics/actions
  3. # This workflow automatically formats code and documentation in PRs to official Ultralytics standards
  4. name: Ultralytics Actions
  5. on:
  6. issues:
  7. types: [opened, edited]
  8. discussion:
  9. types: [created]
  10. pull_request:
  11. branches: [main]
  12. types: [opened, closed, synchronize, review_requested]
  13. jobs:
  14. format:
  15. runs-on: ubuntu-latest
  16. steps:
  17. - name: Run Ultralytics Formatting
  18. uses: ultralytics/actions@main
  19. with:
  20. token: ${{ secrets._GITHUB_TOKEN || secrets.GITHUB_TOKEN }}
  21. labels: true # autolabel issues and PRs
  22. python: true # format Python code and docstrings
  23. prettier: true # format YAML, JSON, Markdown and CSS
  24. spelling: true # check spelling
  25. links: false # check broken links
  26. summary: true # print PR summary with GPT4o (requires 'openai_api_key')
  27. openai_api_key: ${{ secrets.OPENAI_API_KEY }}
  28. first_issue_response: |
  29. ๐Ÿ‘‹ Hello @${{ github.actor }}, thank you for your interest in Ultralytics ๐Ÿš€! We recommend a visit to the [Docs](https://docs.ultralytics.com/) for new users where you can find many [Python](https://docs.ultralytics.com/usage/python/) and [CLI](https://docs.ultralytics.com/usage/cli/) usage examples and where many of the most common questions may already be answered.
  30. If this is a ๐Ÿ› Bug Report, please provide a [minimum reproducible example](https://docs.ultralytics.com/help/minimum-reproducible-example/) to help us debug it.
  31. If this is a custom training โ“ 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](https://docs.ultralytics.com/guides/model-training-tips/).
  32. Join the Ultralytics community where it suits you best. For real-time chat, head to [Discord](https://discord.com/invite/ultralytics) ๐ŸŽง. Prefer in-depth discussions? Check out [Discourse](https://community.ultralytics.com/). Or dive into threads on our [Subreddit](https://reddit.com/r/Ultralytics) to share knowledge with the community.
  33. ## Upgrade
  34. Upgrade to the latest `ultralytics` package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/) to verify your issue is not already resolved in the latest version:
  35. ```bash
  36. pip install -U ultralytics
  37. ```
  38. ## Environments
  39. YOLO may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda-zone)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
  40. - **Notebooks** with free GPU: <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"/></a> <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/models/ultralytics/yolo11"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
  41. - **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/)
  42. - **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/aws_quickstart_tutorial/)
  43. - **Docker Image**. See [Docker Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/docker_image_quickstart_tutorial/) <a href="https://hub.docker.com/r/ultralytics/ultralytics"><img src="https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker" alt="Docker Pulls"></a>
  44. ## Status
  45. <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml?query=event%3Aschedule"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml/badge.svg" alt="Ultralytics CI"></a>
  46. If this badge is green, all [Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml?query=event%3Aschedule) tests are currently passing. CI tests verify correct operation of all YOLO [Modes](https://docs.ultralytics.com/modes/) and [Tasks](https://docs.ultralytics.com/tasks/) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
Discard
Tip!

Press p or to see the previous file or, n or to see the next file