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Negative values in the predicted annotations #32

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vipul43 opened this issue Mar 4, 2021 · 2 comments

vipul43 commented Mar 4, 2021

This is a screenshot of the image that I tried to make predictions in using model.predict_jsons functions, but the resultant annotations of this function have negative bbox values.
There are two faces detected in the image, in the sequence I have added the annotations below, second prediction bbox has negative values. I checked the image, the image is good. Only the predictions of the get_model with max_size=2048, is resulting in such predictions

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vipul43 commented Mar 4, 2021

Also, what is the max_size parameter to the get_model function...?? Is it the maximum size of the input image?

woctezuma commented Jun 8, 2021

Also, what is the max_size parameter to the get_model function...?? Is it the maximum size of the input image?

This parameter is used to resize the image. It is the target length for the longest side of the image.

Same as in: https://github.com/xinntao/facexlib/blob/45fee8e7885fc462d2d4c4eafb2650ff384b89c8/facexlib/detection/retinaface.py#L171-L183

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