Initial Frigate config with GPU detection
- Amcrest AD110 doorbell setup with go2rtc restreaming - ONNX GPU detection using YOLOv9-s model on RTX 3060 - Auto day/night mode for IR switching - CLAUDE.md with full setup documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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config.yaml
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78
config.yaml
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version: 0.16.1
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mqtt:
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host: 192.168.0.205
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port: 1883
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user: tonym
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password: "tbhXM3131!"
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topic_prefix: frigate
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go2rtc:
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streams:
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front:
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- rtsp://admin:tbhXM3131!@192.168.0.118:554/cam/realmonitor?channel=1&subtype=0
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front_sub:
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- rtsp://admin:tbhXM3131!@192.168.0.118:554/cam/realmonitor?channel=1&subtype=1
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ffmpeg:
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hwaccel_args: preset-nvidia
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detectors:
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onnx:
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type: onnx
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model:
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path: /config/model_cache/yolov9-s-640.onnx
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input_tensor: nchw
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input_pixel_format: rgb
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width: 640
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height: 640
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model_type: yolo-generic
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input_dtype: float
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objects:
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track:
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- person
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birdseye:
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enabled: false
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cameras:
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front:
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ffmpeg:
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inputs:
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- path: rtsp://127.0.0.1:8554/front_sub
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input_args: preset-rtsp-restream
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roles: [detect]
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- path: rtsp://127.0.0.1:8554/front
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input_args: preset-rtsp-restream
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roles: [record]
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detect:
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enabled: true
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width: 640
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height: 480
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fps: 5
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motion:
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threshold: 30
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contour_area: 10
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improve_contrast: true
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snapshots:
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enabled: true
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timestamp: true
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bounding_box: true
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record:
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enabled: true
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retain:
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days: 5
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mode: motion
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objects:
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filters:
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person:
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min_area: 2000
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max_area: 100000
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min_score: 0.65
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threshold: 0.5
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min_ratio: 0.3
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max_ratio: 10
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track:
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- person
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