AI/ML

YOLOx ONNX models use in Frigate

YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our report on Arxiv.

https://yolox.readthedocs.io/en/latest/demo/onnx_readme.html

https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ONNXRuntime

To configure this in Frigate:

detectors:
  onnx:
    type: onnx
model:
  model_type: yolox
  width: 640
  height: 640
  input_tensor: nchw
  input_dtype: float_denorm
  path: /config/yolox_m.onnx
  labelmap_path: /labelmap/coco-80.txt