# Frigate NVR Setup

## Quick Start

```bash
cd frigate
docker-compose up -d
```

## Access

- Web UI: http://localhost:5000
- API: http://localhost:5000/api

## What's Changed

1. **TensorRT detector enabled** - Uses RTX 3050 for object detection (much faster than ONNX)
2. **8 cameras configured** - All pulling from go2rtc restream
3. **MQTT connected** - Events publish to HA at 192.168.0.39:1883
4. **Model included** - yolov9-e.onnx mounted at /config/

## Troubleshooting

### Check if TensorRT is working:
```bash
docker logs frigate | grep -i tensorrt
```

### Check camera streams:
```bash
docker logs frigate | grep -E "(Kitchen|Livingroom|Front|Driveway|Garage|Back|Front_DUO2|Back_Porch)"
```

### Common Issues:

1. **NVIDIA Container Toolkit not installed** - Install from:
   https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html

2. **WSL2 GPU support** - Ensure Docker Desktop has WSL2 backend enabled and GPU support

3. **Model not found** - The .onnx file needs to be in the frigate/ directory