face recognition for Indian Celebrity

Models Used:

pretrained inception_v2 as model which takes (3,96,96) dimension input images and gives 128 dimension output embeddings
pretrained inception_resnet_v1 as model1 which takes (160,160,3) dimensional input images and gives 128 dimensional output vectors.

face_images: Contains cropped and uncropped images of celebrity arranged according to name of the celebrity.
images: Contains celebrity images arranged in number in order to compare the test images from database.
images1: Contains 6 images to fintune the threshhold and debug code fastly.
test_images: Contain just one image to test the output of the model
weights: contains the weight of pretrained inception_v2 in csv files
celebrity_face_recognition.ipynb: notebook containing the codes with slight explanation.
celebrity_face_recognition.py python file for the ipynb file provided above.
facenet_keras_weight.h5: pretrained weight of inception_resnet_v1.
image_to_face.py : Converts uncropped imges to the cropped image.
video_to_face.py: Convert the uncropped images from webcam to cropped and same them to folder images.