| #!/usr/bin/python | |
| # The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt | |
| # | |
| # This example program shows how to find frontal human faces in a webcam stream using OpenCV. | |
| # It is also meant to demonstrate that rgb images from Dlib can be used with opencv by just | |
| # swapping the Red and Blue channels. | |
| # | |
| # You can run this program and see the detections from your webcam by executing the | |
| # following command: | |
| # ./opencv_face_detection.py | |
| # | |
| # This face detector is made using the now classic Histogram of Oriented | |
| # Gradients (HOG) feature combined with a linear classifier, an image | |
| # pyramid, and sliding window detection scheme. This type of object detector | |
| # is fairly general and capable of detecting many types of semi-rigid objects | |
| # in addition to human faces. Therefore, if you are interested in making | |
| # your own object detectors then read the train_object_detector.py example | |
| # program. | |
| # | |
| # | |
| # COMPILING/INSTALLING THE DLIB PYTHON INTERFACE | |
| # You can install dlib using the command: | |
| # pip install dlib | |
| # | |
| # Alternatively, if you want to compile dlib yourself then go into the dlib | |
| # root folder and run: | |
| # python setup.py install | |
| # | |
| # Compiling dlib should work on any operating system so long as you have | |
| # CMake installed. On Ubuntu, this can be done easily by running the | |
| # command: | |
| # sudo apt-get install cmake | |
| # | |
| # Also note that this example requires Numpy which can be installed | |
| # via the command: | |
| # pip install numpy | |
| import sys | |
| import dlib | |
| import cv2 | |
| detector = dlib.get_frontal_face_detector() | |
| cam = cv2.VideoCapture(0) | |
| color_green = (0,255,0) | |
| line_width = 3 | |
| while True: | |
| ret_val, img = cam.read() | |
| rgb_image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) | |
| dets = detector(rgb_image) | |
| for det in dets: | |
| cv2.rectangle(img,(det.left(), det.top()), (det.right(), det.bottom()), color_green, line_width) | |
| cv2.imshow('my webcam', img) | |
| if cv2.waitKey(1) == 27: | |
| break # esc to quit | |
| cv2.destroyAllWindows() | |