├── LandmarkManuallyGetter.jar ├── README.md ├── datasets ├── onlyLandmarks.csv └── train_own.csv ├── face_detection ├── mtcnn_detect.py └── randomChoices.py ├── face_recognition ├── detect_person_with_inception.py ├── detect_person_with_landmarks.py └── inception_features.py ├── gender_recognition ├── detect_gender_with_inception.py └── detect_gender_with_landmarks.py ├── landmark_extractor ├── append_pixels_new.py ├── checkCommas.py ├── create_landmarks_csv.py ├── create_testsets.py ├── load_data_for_landmarks.py └── train_landmarks.py ├── outputs ├── Figure_3.png ├── accuracy.png ├── error.png ├── faceDetectionbyMTCNN.png ├── faceRecognitionByOpenCv.png ├── faceRecognitionDlib.png ├── hnn_model.png ├── model_for_landmark_recog.png ├── model_for_landmarks_recognition.png ├── model_for_whole_pixel.png └── model_hybrid_pixel.png └── preprocessing ├── detect_frontal.py ├── detect_gender.py ├── detect_person.py ├── generateReduced.py ├── get_bounding_box_on_100.py ├── 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