To recognize the face in a frame, first, you need to detect whether the face is present in the frame. If it is present, mark it as a region of interest (ROI), extract the ROI, and process it for ...

The code then loads the shape predictor and face recognition models using dlib. It also loads a face detection model based on the Histogram of Oriented Gradients (HOG). The HOG model is the one used ...

The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here. 2018-04-10 Added new models trained on ...

Now, run the above python Script on your python environment, using the Raspberry Pi Terminal: python FaceDetection.py After executing the above code you will be able to see a window popping which ...