Update greetings.yml (#1442)

* 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 → .github/ISSUE_TEMPLATE/bug-report.md

@@ -1,5 +1,5 @@
 ---
-name: "\U0001F41BBug report"
+name: "🐛 Bug report"
 about: Create a report to help us improve
 title: ''
 labels: bug

.github/ISSUE_TEMPLATE/--feature-request.md → .github/ISSUE_TEMPLATE/feature-request.md

@@ -1,5 +1,5 @@
 ---
-name: "\U0001F680Feature request"
+name: "🚀 Feature request"
 about: Suggest an idea for this project
 title: ''
 labels: enhancement

.github/workflows/greetings.yml

@@ -23,13 +23,33 @@ jobs:
             - 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
 
           issue-message: |
-            Hello @${{ github.actor }}, thank you for your interest in our work! Please visit our [Custom Training Tutorial](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data) to get started, and see our [Jupyter Notebook](https://github.com/ultralytics/yolov5/blob/master/tutorial.ipynb) <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>, [Docker Image](https://hub.docker.com/r/ultralytics/yolov5), and [Google Cloud Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart) for example environments.
+            Hello @${{ 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 🐛 Bug Report, please provide screenshots and **minimum viable code to reproduce your issue**, otherwise we can not help you.
 
-            If this is a custom model or data training question, please note Ultralytics does **not** provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:
-            - **Cloud-based AI** systems operating on **hundreds of HD video streams in realtime.**
-            - **Edge AI** integrated into custom iOS and Android apps for realtime **30 FPS video inference.**
-            - **Custom data training**, hyperparameter evolution, and model exportation to any destination.
+            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 more information please visit https://www.ultralytics.com.
+            For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.
+
+            ## Requirements
+
+            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:
+            ```bash
+            $ pip install -r requirements.txt
+            ```
+
+            ## 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):
+            
+            - **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>
+            - **Kaggle Notebook** with free GPU: [https://www.kaggle.com/ultralytics/yolov5](https://www.kaggle.com/ultralytics/yolov5)
+            - **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart) 
+            - **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)
+            
+            ## Status
+            
+            ![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)
+            
+            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.
+