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# 🎨 Frigate with GUI Configuration Editor > **Fork of [blakeblackshear/frigate](https://github.com/blakeblackshear/frigate)** featuring a comprehensive GUI configuration editor - **No more YAML nightmares!** ## ✨ What's Different in This Fork? This fork adds a **complete GUI-based configuration editor** that makes Frigate accessible to everyone: ### 🚀 New Feature: GUI Configuration Editor **No YAML knowledge required!** Configure everything through beautiful forms: - ✅ **100% Coverage**: All 500+ configuration fields accessible - ✅ **17+ Organized Sections**: Cameras, Detectors, Objects, Recording, Motion, MQTT, Audio, Face Recognition, LPR, and more - ✅ **Smart Validation**: Real-time error checking with helpful messages - ✅ **Tooltips Everywhere**: Every field has descriptions and examples - ✅ **YAML Toggle**: Switch between GUI and YAML modes anytime - ✅ **Schema-Driven**: Automatically adapts when new Frigate features are added **[📖 Read the GUI Configuration Guide](docs/docs/guides/config_gui.md)** --- ## About Frigate

\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md) A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/) or [Hailo](https://hailo.ai/) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration) - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary - Leverages multiprocessing heavily with an emphasis on realtime over processing every frame - Uses a very low overhead motion detection to determine where to run object detection - Object detection with TensorFlow runs in separate processes for maximum FPS - Communicates over MQTT for easy integration into other systems - Records video with retention settings based on detected objects - 24/7 recording - Re-streaming via RTSP to reduce the number of connections to your camera - WebRTC & MSE support for low-latency live view ## Documentation View the documentation at https://docs.frigate.video ## Donations If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear). ## Screenshots ### Live dashboard

### Streamlined review workflow

### Multi-camera scrubbing

### Built-in mask and zone editor

## Translations We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support language translations. Contributions are always welcome.