update doc of yunet with specification of detectable face sizes (#118)
Browse files
models/face_detection_yunet/README.md
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@@ -5,6 +5,7 @@ YuNet is a light-weight, fast and accurate face detection model, which achieves
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Notes:
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- Model source: [here](https://github.com/ShiqiYu/libfacedetection.train/blob/a61a428929148171b488f024b5d6774f93cdbc13/tasks/task1/onnx/yunet.onnx).
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- For details on training this model, please visit https://github.com/ShiqiYu/libfacedetection.train.
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- This ONNX model has fixed input shape, but OpenCV DNN infers on the exact shape of input image. See https://github.com/opencv/opencv_zoo/issues/44 for more information.
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Notes:
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- Model source: [here](https://github.com/ShiqiYu/libfacedetection.train/blob/a61a428929148171b488f024b5d6774f93cdbc13/tasks/task1/onnx/yunet.onnx).
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- This model can detect **faces of pixels between around 10x10 to 300x300** due to the training scheme.
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- For details on training this model, please visit https://github.com/ShiqiYu/libfacedetection.train.
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- This ONNX model has fixed input shape, but OpenCV DNN infers on the exact shape of input image. See https://github.com/opencv/opencv_zoo/issues/44 for more information.
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