Michał SobczakArchitecture · IT infrastructure · DevOps · Security · AI/ML

YOLOx ONNX models use in Frigate

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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:

YAML
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
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All the content on this website is licensed under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Cite as: Michał Sobczak, “YOLOx ONNX models use in Frigate”, 4 September 2025, https://michalasobczak.pl/posts/yolox-onnx-models-use-in-frigate.html

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