Face-recognition

Face recognition model using CNN in both Keras and Tensorflow

1. Run save_face.py to save your faces in database.
   a. It will ask for id. start from 1.
   b. image number starts from 1 and it takes 300 images of each face to train.
   
2. Run store_facial_features.py
   a. It converts each face into embeddings and store in dataset.csv where each row contains 128 columns
   
3. Run csv_to_pickle.py
   a. Four new files will get generated (train_features, test_features,train_labels and test_labels).
   
4. Run python train_model_tf.py
   
5. Run python train_model_keras.py
   
6. python recognize.py