nikolajov96 / eestech-challenge-face-recognition Goto Github PK
View Code? Open in Web Editor NEWThe winning solution from the EESTech Challenge Hackathon, april 2017, Belgrade.
The winning solution from the EESTech Challenge Hackathon, april 2017, Belgrade.
|---------------------------------------------------------| |----------------- Face recognition ------------------| |----------- Face detection using sliding ------------| |--------------- window face detector ----------------| |---------------------------------------------------------| By Aleksa Marusic, Nikola Pavlovic and Nikola Jovanovic The project consists of following files: - main.py - detects multiple faces on a large image and draws a bounding box arround them, it uses multi-layer-perceptron classifier to detect faces on parts of the image (used for task 2) - the classes/functions in featureExtractor.py are used to generate features from an image or a part of image - classify.py does the classification of the images in test data set and generates the labels (task 1) - train_SGD.py trains the stochastic gradient descent classifier used in classify.py during development, it was shown that MLP was better for multi-face detection and SGD proved better for the first task
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