Yolo

Replacing Frigate’s default SSD MobileNet detector with YOLOv9t (tiny) running on the Intel N97’s integrated GPU via OpenVINO. Covers model export, correct Frigate config, and a critical gotcha that causes 100% false positives if you get it wrong. Setup # Server: Intel N97 (Debian 13), 8 camera streams Frigate: 0.17, running in Docker Detector: OpenVINO GPU (/dev/dri/renderD128) Previous model: SSD MobileNet v2 (built-in, 300×300) New model: YOLOv9t ONNX (320×320, 8.3 MB) Why YOLOv9t? # The default SSD MobileNet v2 bundled with Frigate’s OpenVINO image is fast and lightweight, but accuracy suffers on partially occluded objects and objects at the edges of the frame. YOLOv9t (tiny) offers meaningfully better detection quality with a similar computational footprint — at 320×320 input and ~18ms inference on the N97 iGPU, it handles 8 concurrent camera streams comfortably.