The Regressor shape: (1, 896, 16) and Classifier shape: (1, 896, 1) values output by face_detector.tflite when there is only one facein the image are undocumented, or I could not find anywhere their meaning.
lets pretend thatthe classifier outputs a score for each of the 896 potential bounding boxes to have a face inside, then the highest value of the classifier is tied to 16 valuesof the regressor .
I could not find what these mean...for instance I got these values :
Classifier highes raw value: [1.8791088]
Regressor raw values related to the Classifier Highest raw value: [ -9.997869 5.4132013 97.73436 97.71959 -31.320122 -15.798918 13.305289 -12.395595 11.063564 11.03928 -12.75334 30.372728 -53.83273 -10.672908 34.493393 -3.749894 ]
what are their meaning? thanks for the info :)
The Regressor shape: (1, 896, 16) and Classifier shape: (1, 896, 1) values output by face_detector.tflite when there is only one facein the image are undocumented, or I could not find anywhere their meaning.
lets pretend thatthe classifier outputs a score for each of the 896 potential bounding boxes to have a face inside, then the highest value of the classifier is tied to 16 valuesof the regressor . I could not find what these mean...for instance I got these values :
Classifier highes raw value: [1.8791088] Regressor raw values related to the Classifier Highest raw value: [ -9.997869 5.4132013 97.73436 97.71959 -31.320122 -15.798918 13.305289 -12.395595 11.063564 11.03928 -12.75334 30.372728 -53.83273 -10.672908 34.493393 -3.749894 ] what are their meaning? thanks for the info :)