Facial-KeyPoint-Detection

The First Project in the Computer Vision Nanodegree by Udacity - Detection of Facial Keypoints.

In this project, I built a CNN model for regression of 68 different facial keypoints.

The Project has been reviewed by Udacity and graded Meets Specifications against the following rubric.

You can find the Udacity Github repository for the project here.

To run the project, install the dependencies as following

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
detector_architectures		detector_architectures
images		images
1. Load and Visualize Data.ipynb		1. Load and Visualize Data.ipynb
2. Define the Network Architecture.ipynb		2. Define the Network Architecture.ipynb
3. Facial Keypoint Detection, Complete Pipeline.ipynb		3. Facial Keypoint Detection, Complete Pipeline.ipynb
4. Fun with Keypoints.ipynb		4. Fun with Keypoints.ipynb
README.md		README.md
data_load.py		data_load.py
models.py		models.py
requirements.txt		requirements.txt

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