ultralytics · Sep 11, 2020 · Sep 11, 2020 · Sep 11, 2020 · Sep 11, 2020 · Sep 18, 2020
Showing with 306 additions and 432 deletions.

+25 −32 .github/workflows/greetings.yml

+281 −400 README.md
diff --git a/.github/workflows/greetings.yml b/.github/workflows/greetings.yml
@@ -16,42 +16,35 @@ jobs:
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           pr-message: |
-            👋 Hello @${{ github.actor }}, thank you for submitting a YOLOv5 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:
-
-            - ✅ Verify your PR is **up-to-date** with `ultralytics/yolov5` `master` branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running `git pull` and `git merge master` locally.
-            - ✅ Verify all YOLOv5 Continuous Integration (CI) **checks are passing**.
-            - ✅ Reduce changes to the absolute **minimum** required for your bug fix or feature addition. _"It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is."_  — Bruce Lee
-
+            诶？我竟然还能收到PR？
+            👋 你好 @${{ github.actor }}, 非常感谢提交 🚀 PR!
+            本repo是fork自原版yolov5工程，代码方面的PR请提交至官方仓库地址，README的相关PR我会审查无误后merge
           issue-message: |
-            👋 Hello @${{ github.actor }}, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ [Tutorials](https://github.com/ultralytics/yolov5/wiki#tutorials) to get started, where you can find quickstart guides for simple tasks like [Custom Data Training](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data) all the way to advanced concepts like [Hyperparameter Evolution](https://github.com/ultralytics/yolov5/issues/607).
-
-            If this is a 🐛 Bug Report, please provide screenshots and **minimum viable code to reproduce your issue**, otherwise we can not help you.
-
-            If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online [W&B logging](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data#visualize) if available.
-
-            For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com.
-
-            ## Requirements
-
-            [**Python>=3.7.0**](https://www.python.org/) with all [requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) installed including [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/). To get started:
+            👋 你好 @${{ github.actor }}, 如有任何问题，请首先检查你的运行指令有没有问题，如果指令没有问题，请尝试更新作者仓库的最新代码：
             ```bash
-            git clone https://github.com/ultralytics/yolov5  # clone
-            cd yolov5
-            pip install -r requirements.txt  # install
+              # 如果没下载官方代码
+              $ git clone https://github.com/ultralytics/yolov5.git
+              $ cd yolov5
+              $ pip install -r requirements.txt
             ```
+            ```bash
+              # 如果已下载官方代码
+              $ cd yolov5
+              $ git reset --hard
+              $ git pull
+              $ pip install -r requirements.txt
+            ```
+            更多请参考⭐️[英文官方教程](https://github.com/ultralytics/yolov5/wiki#tutorials)
 
-            ## Environments
-
-            YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
-
-            - **Notebooks** with free GPU: <a href="https://bit.ly/yolov5-paperspace-notebook"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"></a> <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
-            - **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)
-            - **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)
-            - **Docker Image**. See [Docker Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart) <a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
-
-            ## Status
+            ## 依赖
 
-            <a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="YOLOv5 CI"></a>
+            Python版本3.6或更高，python依赖库都在[requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) 里面，直接`pip install -r requirements.txt`即可。
+            如果你使用Windows的话，尽量使用CUDA10.2和对应版本的pytorch，CUDA11+会有些许问题。
 
-            If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 [training](https://github.com/ultralytics/yolov5/blob/master/train.py), [validation](https://github.com/ultralytics/yolov5/blob/master/val.py), [inference](https://github.com/ultralytics/yolov5/blob/master/detect.py), [export](https://github.com/ultralytics/yolov5/blob/master/export.py) and [benchmarks](https://github.com/ultralytics/yolov5/blob/master/benchmarks.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+            ## 环境
+            下面是已经配置好环境的免费GPU训练环境：
+            - **Google Colab and Kaggle** : <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
+            - **Google Cloud** : [GCP 快速上手教程](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)
+            - **Amazon** Deep Learning AMI. See [AWS 快速上手教程](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)
+            - **Docker Image**. [Docker 快速上手教程](https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart) <a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>