How to deploy a model on Raspberry Pi 5 + AI Hat with HAILO8L #871
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| # Ultralytics YOLO 🚀, GPL-3.0 license | |
| name: Greetings | |
| on: | |
| pull_request_target: | |
| types: [opened] | |
| issues: | |
| types: [opened] | |
| jobs: | |
| greeting: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/first-interaction@v1 | |
| with: | |
| repo-token: ${{ secrets.GITHUB_TOKEN }} | |
| pr-message: | | |
| 👋 Hello @${{ github.actor }}, thank you for submitting a YOLO 🚀 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/hub` `main` 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 main` locally. | |
| - ✅ Verify all Continuous Integration (CI) **checks are passing**. | |
| - ✅ Update [Docs](https://docs.ultralytics.com) for any new or updated features. | |
| - ✅ 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 | |
| See our [Contributing Guide](https://docs.ultralytics.com/help/contributing) for details and let us know if you have any questions! | |
| issue-message: | | |
| 👋 Hello @${{ github.actor }}, thank you for raising an issue about [Ultralytics HUB](https://hub.ultralytics.com) 🚀! Please visit our [HUB Docs](https://docs.ultralytics.com/hub) to learn more: | |
| - [**Quickstart**](https://docs.ultralytics.com/hub/quickstart). Start training and deploying YOLO models with HUB in seconds. | |
| - [**Datasets: Preparing and Uploading**](https://docs.ultralytics.com/hub/datasets). Learn how to prepare and upload your datasets to HUB in YOLO format. | |
| - [**Projects: Creating and Managing**](https://docs.ultralytics.com/hub/projects). Group your models into projects for improved organization. | |
| - [**Models: Training and Exporting**](https://docs.ultralytics.com/hub/models). Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment. | |
| - [**Integrations**](https://docs.ultralytics.com/hub/integrations). Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle. | |
| - [**Ultralytics HUB App**](https://docs.ultralytics.com/hub/app). Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device. | |
| * [**iOS**](https://docs.ultralytics.com/hub/app/ios). Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads. | |
| * [**Android**](https://docs.ultralytics.com/hub/app/android). Explore TFLite acceleration on mobile devices. | |
| - [**Inference API**](https://docs.ultralytics.com/hub/inference-api). Understand how to use the Inference API for running your trained models in the cloud to generate predictions. | |
| If this is a 🐛 Bug Report, please provide screenshots and steps to [reproduce](https://docs.ultralytics.com/help/minimum_reproducible_example/) your problem to help us get started working on a fix. | |
| If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response. | |
| We try to respond to all issues as promptly as possible. Thank you for your patience! |