![]() While creating the database, the face images must have different expressions, which is why a 0.38-second delay is given in the code for creating the data set. ![]() ![]() You can change the name from Train to the person’s name. It automatically creates Train folder in Database folder containing the face to be recognised. Take pictures of the person for face recognition after running create_database.py script. This project is divided into two parts: creating a database, and training and testing. If it is present, mark it as a region of interest (ROI), extract the ROI and process it for facial recognition. To recognize the face in a frame, first you need to detect whether the face is present in the frame. A real time face recognition system is capable of identifying or verifying a person from a video frame.
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