Open SarveshTS opened 5 years ago
Hey SarveshTS, Have you found the solution about using pre-trained face embedding in real face recognition task? Actually, I tried use the same way posted at https://www.pyimagesearch.com/2018/06/18/face-recognition-with-opencv-python-and-deep-learning/ (k-nearest neighbor) and https://www.pyimagesearch.com/2018/09/24/opencv-face-recognition/ (linear SVM classifier)
First of which used KNN clustering method, and second used the linear SVM classifier. However both of them gave the poor performance with my own pre-trained face embedding model instead of dilb face embedding model.
I have created new model by training from train_softmax.py . How can I use this model for testing ?