layer-perceptron

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adityajain10 / human-detection-using-hog-lbp-neural-networks
The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.
hog-lbp lbp-features feature-vector detect-humans layer-perceptron lbp-patterns gradient-magnitude gradient-angle nueral-networks
Language:Python 12

adityajain10 / human-detection-using-hog-lbp-neural-networks