Personal projects for the Udacity Computer Vision Nanodegree
| Project | Description |
|---|---|
| P1_Facial_Keypoints | Look at any image, detect faces, and predict the locations of facial keypoints on each face |
Python 3.6, PyTorch and Torchvision
In this project, we combine 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 should be 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.
The project will be broken up into a few main parts in four Python notebooks, only Notebooks 2 and 3 (and the models.py file) will be graded:
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
Sketch RNN https://magenta.tensorflow.org/assets/sketch_rnn_demo/index.html
Webinar Pytorch & Neural Networks https://www.youtube.com/watch?v=2N78GVY_Zho&feature=youtu.be