https://github.com/josancamon19/facial_keypoint_detection

Facial Keypoint Detection project for Computer Vision Nanodegree.
https://github.com/josancamon19/facial_keypoint_detection

computer-vision-nanodegree facial-keypoint-detection udacity-nanodegree

Last synced: about 4 hours ago
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Facial Keypoint Detection project for Computer Vision Nanodegree.

• Host: GitHub
• URL: https://github.com/josancamon19/facial_keypoint_detection
• Owner: josancamon19
• License: mit
• Created: 2019-03-22T18:26:01.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T02:23:16.000Z (almost 2 years ago)
• Last Synced: 2023-03-04T03:52:56.723Z (over 1 year ago)
• Topics: computer-vision-nanodegree, facial-keypoint-detection, udacity-nanodegree
• Language: Jupyter Notebook
• Homepage:
• Size: 8.02 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[//]: # (Image References)

[image1]: ./images/key_pts_example.png "Facial Keypoint Detection"

# Facial Keypoint Detection

## Project Overview

In this project, I combined my knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection system. Facial keypoints include points around the eyes, nose, and mouth on a face and are used in many applications. These applications include: facial tracking, facial pose recognition, facial filters, and emotion recognition. the completed code is able to look at any image, detect faces, and predict the locations of facial keypoints on each face; examples of these keypoints are displayed below.

![Facial Keypoint Detection][image1]

The project was broken up into a few main parts in four Python notebooks, **only Notebooks 2 and 3 (and the `models.py` file) contains the code built**:

__Notebook 1__ : Loading and Visualizing the Facial Keypoint Data

__Notebook 2__ : Defining and Training a Convolutional Neural Network (CNN) to Predict Facial Keypoints

__Notebook 3__ : Facial Keypoint Detection Using Haar Cascades and your Trained CNN

__Notebook 4__ : Fun Filters and Keypoint Uses

## Project Instructions

All of the starting code and resources you'll need to compete this project are in the following Github repository. Before you can get started coding, you'll have to make sure that you have all the libraries and dependencies required to support this project. If you have already created a `cv-nd` environment for [exercise code](https://github.com/udacity/CVND_Exercises), then you can use that environment!

LICENSE: This project is licensed under the terms of the MIT license.