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Collect database
-> Arrange the Images in given way:
1.Person1 (Folder Contains Images of Person1) 2.Person2 (Folder Contains Images of Person2) 3.Person3 (Folder Contains Images of Person3) -
Run face_detection.py,it will create faces.npz file
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Run face_embedding.py,it will create embeddings.npz file which contains face embedding (128 vector for each face)
-> To run this file download facenet keras model(facenet_keras.h5) from here : https://drive.google.com/drive/folders/1pwQ3H4aJ8a6yyJHZkTwtjcL4wYWQb7bn
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Run face_training.py,it will create trained face embedded model(model.hdf5)
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Run face_recognition.py,it will create a video of recognized faces
-> To run this file,download yolov3 weights and cfg file ,this face_recognition.py file use yolov3_face_detection.py file for face_detection because its faster.
-> download weights file from here :https://drive.google.com/file/d/1zU_n5CwnGfYgFNLQ1JZlsl-rHjPV-kmp/view
-> download cfg file from here : https://github.com/sthanhng/yoloface/tree/master/cfg
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Output Video file: https://drive.google.com/file/d/1cf9nBBoXfQByGlWYj1JkZF1IShigENw9/view?usp=sharing