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Wrong results with Faceboxesv2 (ONNX) and there isn't YoloV5face implemented yet. #65

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PaulCahuana opened this issue Oct 14, 2022 · 2 comments

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@PaulCahuana
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PaulCahuana commented Oct 14, 2022

Hi, first of all, thanks for the amazing work.
I founded an error regarding with the model of Faceboxesv2 (ONNX)
When I do a inference with my image:
test_hrnet_
I got nothing, i was able to found the problem and is with the model itself, if i change the threshold of the model from 0.3 to 0.003 i get:
pipnet0_
as you can see, is not working well the model and the conditions of foucs, and brightness is very well. So, i was thinking here that maybe the model will work only with the image of the test, right?

So, i tried to use another model (yolov5face) and i saw that is not implemented yet. So, do you have in your plans to incoporate it?

Thanks!

@Peter-Devine
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Bump

@SoroushMaleki
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I have the exact save problem with the onnx face detection model.

result

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