From 12f3089110d8f4419b4baae6c402a246d2bd7f16 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Mon, 26 Jun 2023 19:13:02 +0200 Subject: [PATCH] Update Discord invite link (#3397) --- .github/ISSUE_TEMPLATE/config.yml | 2 +- README.md | 8 ++++---- README.zh-CN.md | 8 ++++---- docs/hub/index.md | 2 +- docs/yolov5/index.md | 2 +- examples/hub.ipynb | 2 +- examples/tutorial.ipynb | 2 +- mkdocs.yml | 2 +- 8 files changed, 14 insertions(+), 14 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 2e31ad2..d979731 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -7,5 +7,5 @@ contact_links: url: https://community.ultralytics.com/ about: Ask on Ultralytics Community Forum - name: 🎧 Discord - url: https://discord.gg/7aegy5d8 + url: https://discord.gg/bNc8wwx7Qy about: Ask on Ultralytics Discord diff --git a/README.md b/README.md index cac3064..a7c38d1 100644 --- a/README.md +++ b/README.md @@ -20,7 +20,7 @@ [Ultralytics](https://ultralytics.com) [YOLOv8](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks. -We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! +We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license). @@ -45,7 +45,7 @@ To request an Enterprise License please complete the form at [Ultralytics Licens - + @@ -241,7 +241,7 @@ YOLOv8 is available under two different licenses: ##
Contact
-For YOLOv8 bug reports and feature requests please visit [GitHub Issues](https://github.com/ultralytics/ultralytics/issues), and join our [Discord](https://discord.gg/7aegy5d8) community for questions and discussions! +For YOLOv8 bug reports and feature requests please visit [GitHub Issues](https://github.com/ultralytics/ultralytics/issues), and join our [Discord](https://discord.gg/bNc8wwx7Qy) community for questions and discussions!
@@ -263,6 +263,6 @@ For YOLOv8 bug reports and feature requests please visit [GitHub Issues](https:/ - +
diff --git a/README.zh-CN.md b/README.zh-CN.md index 38e6b7a..919366b 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -20,7 +20,7 @@ [Ultralytics](https://ultralytics.com) [YOLOv8](https://github.com/ultralytics/ultralytics) 是一款前沿、最先进（SOTA）的模型，基于先前 YOLO 版本的成功，引入了新功能和改进，进一步提升性能和灵活性。YOLOv8 设计快速、准确且易于使用，使其成为各种物体检测与跟踪、实例分割、图像分类和姿态估计任务的绝佳选择。 -我们希望这里的资源能帮助您充分利用 YOLOv8。请浏览 YOLOv8 文档 了解详细信息，在 GitHub 上提交问题以获得支持，并加入我们的 Discord 社区进行问题和讨论！ +我们希望这里的资源能帮助您充分利用 YOLOv8。请浏览 YOLOv8 文档 了解详细信息，在 GitHub 上提交问题以获得支持，并加入我们的 Discord 社区进行问题和讨论！ 如需申请企业许可，请在 [Ultralytics Licensing](https://ultralytics.com/license) 处填写表格 @@ -45,7 +45,7 @@ - + @@ -240,7 +240,7 @@ YOLOv8 提供两种不同的许可证： ##
联系方式
-对于 YOLOv8 的错误报告和功能请求，请访问 [GitHub Issues](https://github.com/ultralytics/ultralytics/issues)，并加入我们的 [Discord](https://discord.gg/7aegy5d8) 社区进行问题和讨论！ +对于 YOLOv8 的错误报告和功能请求，请访问 [GitHub Issues](https://github.com/ultralytics/ultralytics/issues)，并加入我们的 [Discord](https://discord.gg/bNc8wwx7Qy) 社区进行问题和讨论！
@@ -261,6 +261,6 @@ YOLOv8 提供两种不同的许可证： - +
diff --git a/docs/hub/index.md b/docs/hub/index.md index 6e25dc2..98a7b8d 100644 --- a/docs/hub/index.md +++ b/docs/hub/index.md @@ -29,7 +29,7 @@ easily upload their data and train new models quickly. It offers a range of pre- templates to choose from, making it easy for users to get started with training their own models. Once a model is trained, it can be easily deployed and used for real-time object detection, instance segmentation and classification tasks. -We hope that the resources here will help you get the most out of HUB. Please browse the HUB Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! +We hope that the resources here will help you get the most out of HUB. Please browse the HUB Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! - [**Quickstart**](./quickstart.md). Start training and deploying YOLO models with HUB in seconds. - [**Datasets: Preparing and Uploading**](./datasets.md). Learn how to prepare and upload your datasets to HUB in YOLO format. diff --git a/docs/yolov5/index.md b/docs/yolov5/index.md index 8c666a2..1eea22b 100644 --- a/docs/yolov5/index.md +++ b/docs/yolov5/index.md @@ -85,6 +85,6 @@ This badge signifies that all [YOLOv5 GitHub Actions](https://github.com/ultraly - + \ No newline at end of file diff --git a/examples/hub.ipynb b/examples/hub.ipynb index bcfd94e..c4ca818 100644 --- a/examples/hub.ipynb +++ b/examples/hub.ipynb @@ -33,7 +33,7 @@ "\n", "Welcome to the [Ultralytics](https://ultralytics.com/) HUB notebook! \n", "\n", - "This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!\n", + "This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!\n", "" ] }, diff --git a/examples/tutorial.ipynb b/examples/tutorial.ipynb index 6a433e7..e6fbd19 100644 --- a/examples/tutorial.ipynb +++ b/examples/tutorial.ipynb @@ -36,7 +36,7 @@ "\n", "YOLOv8 models are fast, accurate, and easy to use, making them ideal for various object detection and image segmentation tasks. They can be trained on large datasets and run on diverse hardware platforms, from CPUs to GPUs.\n", "\n", - "We hope that the resources in this notebook will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!\n", + "We hope that the resources in this notebook will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!\n", "\n", "" ] diff --git a/mkdocs.yml b/mkdocs.yml index e4edb5b..64f25b1 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -91,7 +91,7 @@ extra: - icon: fontawesome/brands/python link: https://pypi.org/project/ultralytics/ - icon: fontawesome/brands/discord - link: https://discord.gg/7aegy5d8 + link: https://discord.gg/bNc8wwx7Qy extra_css: - stylesheets/style.css