Switch Frigate detector from CPU/TFLite to ONNX with YOLO-NAS-s
Uses YOLO-NAS-s model exported at 320x320 resolution, stored on NFS at /media/frigate/models/yolo_nas_s.onnx. Significantly better detection accuracy than the default SSD MobileNet V1. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
parent
f46806b458
commit
a153843d7e
1 changed files with 11 additions and 2 deletions
|
|
@ -39,8 +39,17 @@ data:
|
|||
track: [person, car, dog, cat, bird]
|
||||
|
||||
detectors:
|
||||
cpu:
|
||||
type: cpu
|
||||
onnx:
|
||||
type: onnx
|
||||
|
||||
model:
|
||||
model_type: yolonas
|
||||
width: 320
|
||||
height: 320
|
||||
input_tensor: nchw
|
||||
input_pixel_format: bgr
|
||||
path: /media/frigate/models/yolo_nas_s.onnx
|
||||
labelmap_path: /labelmap/coco-80.txt
|
||||
|
||||
record:
|
||||
enabled: true
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue