WHAT IS IT?

Face Tracking using Centroid tracing. Face tracking is the process of:

1. Taking an initial set of Face detections (such as an input set of bounding box coordinates)
2. Creating a unique ID for each of the initial detections.
3. And then tracking each of the Face as they move around frames in a video, maintaining the assignment of unique IDs.

Furthermore, face tracking allows us to apply a unique ID to each tracked object, making it possible for us to count unique faces in a video. Face tracking is paramount to building a person counter (which we’ll do later in this series). To run the inference script run the command. This will open the webcam and head tracking will start.

WHAT ARE THE REQUIREMENTS?

Only Tensorflow,numpy,scipy and tensorflow_gpu are major requirements that modules should be installed in the systems. To get all the requirements and dependencies installed run the

For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt

If GPU is present code will automatically run on gpu else on CPU