I have only managed to get the MobileFace_Identification_V1 working as the get_face_feature_mxnet.py doesn't work for V2.
I have modified get_face_feature_mxnet.py for V2 inputs (3 channels v 1 ) but i am not getting any sensible results. When comparing for cosine similarities of different faces they are coming as being similar.
I have noticed that the aligned data image pairs are closely cropped and I was wondering if you could share the algorithm/code on how you created the the training data so I can reproduce the cropping before feeding the prediction.
You didn't prepare the dataset they are from https://github.com/deepinsight/insightface and the cropping and alignment is done in face_preprocess.py using a similaritity transform.
I have only managed to get the MobileFace_Identification_V1 working as the get_face_feature_mxnet.py doesn't work for V2.
I have modified get_face_feature_mxnet.py for V2 inputs (3 channels v 1 ) but i am not getting any sensible results. When comparing for cosine similarities of different faces they are coming as being similar.
I have noticed that the aligned data image pairs are closely cropped and I was wondering if you could share the algorithm/code on how you created the the training data so I can reproduce the cropping before feeding the prediction.
Many Thanks,
Simon