Facial Keypoint detection system

First project for CVND: facial keypoint detection.

Udacity first project for CVND: facial keypoint detection. (GPU version)

cvnd_P1_Facial_Keypoints

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Udacity's Computer Vision Nanodegree

Use of image processing techniques and deep learning techniques to detect faces in an image and find facial keypoints, such as the position of the eyes, nose, and mouth on a face. This project process and uses feature extraction techniques that allow to programmatically represent different facial features. Deep learning techniques are used to program a convolutional neural network to recognize facial keypoints. Facial keypoints include points around the eyes, nose, and mouth on any face and are used in many applications, from facial tracking to emotion recognition.

Repository for the udacity assignment. (Original: https://github.com/udacity/P1_Facial_Keypoints)

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Project 1 of CVND on Udacity: Facial Keypoint Detection