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Update greetings.yml (#1442)
Browse files* Update greetings.yml
* Update --feature-request.md
* Update --bug-report.md
* Rename --bug-report.md to bug-report.md
* Rename -question.md to question.md
* Rename --feature-request.md to feature-request.md
* Update greetings.yml
* Update greetings.yml
.github/ISSUE_TEMPLATE/{--bug-report.md β bug-report.md}
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---
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name: "
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about: Create a report to help us improve
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title: ''
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labels: bug
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---
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name: "π Bug report"
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about: Create a report to help us improve
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title: ''
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labels: bug
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.github/ISSUE_TEMPLATE/{--feature-request.md β feature-request.md}
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---
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name: "
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about: Suggest an idea for this project
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title: ''
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labels: enhancement
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---
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name: "π Feature request"
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about: Suggest an idea for this project
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title: ''
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labels: enhancement
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.github/ISSUE_TEMPLATE/{-question.md β question.md}
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.github/workflows/greetings.yml
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- 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
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issue-message: |
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Hello @${{ github.actor }}, thank you for your interest in
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If this is a
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If this is a custom
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- **Cloud-based AI** systems operating on **hundreds of HD video streams in realtime.**
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- **Edge AI** integrated into custom iOS and Android apps for realtime **30 FPS video inference.**
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- **Custom data training**, hyperparameter evolution, and model exportation to any destination.
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For
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- Reduce changes to the absolute **minimum** required for your bug fix or feature addition. _"It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is."_ -Bruce Lee
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issue-message: |
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Hello @${{ github.actor }}, thank you for your interest in π YOLOv5! Please visit our βοΈ [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).
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If this is a π Bug Report, please provide screenshots and **minimum viable code to reproduce your issue**, otherwise we can not help you.
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If this is a custom training β 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.
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For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.[email protected].
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## Requirements
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Python 3.8 or later with all [requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) dependencies installed, including `torch>=1.7`. To install run:
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```bash
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$ pip install -r requirements.txt
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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 Notebook** 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>
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- **Kaggle Notebook** with free GPU: [https://www.kaggle.com/ultralytics/yolov5](https://www.kaggle.com/ultralytics/yolov5)
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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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- **Docker Image** https://hub.docker.com/r/ultralytics/yolov5. See [Docker Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart) ![Docker Pulls](https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker)
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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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