Facial Landmark Detection

WHAT IS IT?

Detection of important landmarks on the face area. It is done using OpenFace Implementation and performed in 2 stages, first the face is detected second the detected face is passed through a model to detect the landmarks.The face detection portion returns a list of bounding boxes around the faces in an image and can be under different pose and illumination conditions. A potential issue with using the bounding boxes directly as an input into the neural network is that faces could be looking in different directions or under different illumination conditions. OpenFace uses a simple 2D affine transformation to make the eyes and nose appear in similar locations for the neural network input.

HOW TO USE?

To run the inference script run the command python run.py -input test.jpg -gpu_frac 1 To get the other optional Options and help options run python run.py -h

optional arguments -h, --help show this help message and exit -input     INPUT       mention input image -gpu_frac  GPU_FRAC   mention gpu fraction to use

WHAT ARE THE REQUIREMENTS?

To get all the requirements and dependencies installed run the command For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt