glenn-jocher
commited on
Commit
β’
5bab9a2
1
Parent(s):
bfb2276
Reformat (#3694)
Browse files
.github/ISSUE_TEMPLATE/feature-request.md
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---
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## π Feature
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<!-- A clear and concise description of the feature proposal -->
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## Motivation
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---
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## π Feature
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<!-- A clear and concise description of the feature proposal -->
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## Motivation
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.github/dependabot.yml
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version: 2
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updates:
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- package-ecosystem: pip
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version: 2
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updates:
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- package-ecosystem: pip
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directory: "/"
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schedule:
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interval: weekly
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time: "04:00"
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open-pull-requests-limit: 10
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reviewers:
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- glenn-jocher
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labels:
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- dependencies
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.github/workflows/ci-testing.yml
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name: CI CPU testing
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on:
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push:
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branches: [ master, develop ]
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pull_request:
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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-latest, macos-latest, windows-latest]
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python-version: [3.8]
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model: ['yolov5s'] # models to test
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes: 50
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name: CI CPU testing
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on: # https://help.github.com/en/actions/reference/events-that-trigger-workflows
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push:
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branches: [ master, develop ]
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pull_request:
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strategy:
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fail-fast: false
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matrix:
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os: [ ubuntu-latest, macos-latest, windows-latest ]
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python-version: [ 3.8 ]
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model: [ 'yolov5s' ] # models to test
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes: 50
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.github/workflows/codeql-analysis.yml
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# https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed
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steps:
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# https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed
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steps:
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- name: Checkout repository
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uses: actions/checkout@v2
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# Initializes the CodeQL tools for scanning.
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- name: Initialize CodeQL
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uses: github/codeql-action/init@v1
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with:
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languages: ${{ matrix.language }}
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# If you wish to specify custom queries, you can do so here or in a config file.
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# By default, queries listed here will override any specified in a config file.
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# Prefix the list here with "+" to use these queries and those in the config file.
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# queries: ./path/to/local/query, your-org/your-repo/queries@main
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# Autobuild attempts to build any compiled languages (C/C++, C#, or Java).
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# If this step fails, then you should remove it and run the build manually (see below)
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- name: Autobuild
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uses: github/codeql-action/autobuild@v1
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# βΉοΈ Command-line programs to run using the OS shell.
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# π https://git.io/JvXDl
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# βοΈ If the Autobuild fails above, remove it and uncomment the following three lines
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# and modify them (or add more) to build your code if your project
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# uses a compiled language
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#- run: |
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# make bootstrap
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# make release
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- name: Perform CodeQL Analysis
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uses: github/codeql-action/analyze@v1
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.github/workflows/greetings.yml
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name: Greetings
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on: [pull_request_target, issues]
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jobs:
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greeting:
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```
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## Environments
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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):
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-
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- **Google Colab and Kaggle** notebooks with free GPU: <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>
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- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)
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- **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)
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- **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>
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## Status
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![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)
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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 ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([test.py](https://github.com/ultralytics/yolov5/blob/master/test.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/models/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
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name: Greetings
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on: [ pull_request_target, issues ]
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jobs:
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greeting:
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```
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## Environments
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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):
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- **Google Colab and Kaggle** notebooks with free GPU: <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>
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- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)
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- **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)
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- **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>
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## Status
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![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)
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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 ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([test.py](https://github.com/ultralytics/yolov5/blob/master/test.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/models/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
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.github/workflows/rebase.yml
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issue_comment:
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types: [created]
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rebase:
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on:
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types: [ created ]
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jobs:
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rebase:
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