can't change trained models... about face_classification

[mirceaciu]

in gender detection offsets play a big role. After a face is detected the offsets are used to crop the face from the frame, and then this cropped region is sent to the predictor. If the offset are to small the face is not cropped entirely, if the offsets are to big then to much space around the face is included. Both cases affect the prediction.

try using cv2.imshow to visualize the cropped face, see if it's correct. Then adjust the offsets

[oarriaga]

the error mistake is probably due to the mismatch of the network that expects (64,64,1) (the last 1 corresponds to a grayscale image) while the array that you are giving the network is (64, 64, 3) which is a RGB image. Either transform your images to grayscale or just change the input size to the network.

[alighofrani95]

Thanks i change input to gray image and works but problem still don't solve because no woman detect and accuracy is 96 precent.