Face Recognition
Steps To Perform:
• Import required Python libraries • Start webcam • Read, resize and display the image. • Download the pre-trained face detection model, consisting of two files: • Load the pre-trained face detection network model from disk • Use the dnn.blobFromImage function to construct an input blob by resizing the image to a fixed 300x300 pixels and then normalizing it. • Pass the blob through the neural network and obtain the detections and predictions. • Loop over the detections and draw boxes around the detected faces • Show the resulting image