Opencv

import face_recognition
    import cv2
    import numpy as np

    video_capture = cv2.VideoCapture(0)

    frame_width = int(video_capture.get(3))
    frame_height = int(video_capture.get(4))

    video_cod = cv2.VideoWriter_fourcc(*'XVID')
    video_output= cv2.VideoWriter('captured_video.avi',
                          video_cod,
                          10,
                          (frame_width,frame_height))

    obama_image = face_recognition.load_image_file("obama.jpg")
    obama_face_encoding = face_recognition.face_encodings(obama_image)[0]

    biden_image = face_recognition.load_image_file("biden.jpg")
    biden_face_encoding = face_recognition.face_encodings(biden_image)[0]

    known_face_encodings = [
        obama_face_encoding,
        biden_face_encoding
    ]
    known_face_names = [
        "Barack Obama",
        "Joe Biden"
    ]

    face_locations = []
    face_encodings = []
    face_names = []
    process_this_frame = True

    while True:
        ret, frame = video_capture.read()

        if ret == True:
            small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

            rgb_small_frame = small_frame[:, :, ::-1]

            face_locations = face_recognition.face_locations(rgb_small_frame)
            face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)

            face_names = []
            for face_encoding in face_encodings:
                matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
                name = "Unknown"

                face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
                best_match_index = np.argmin(face_distances)
                if matches[best_match_index]:
                    name = known_face_names[best_match_index]

                face_names.append(name)

        process_this_frame = not process_this_frame

        for (top, right, bottom, left), name in zip(face_locations, face_names):
            top *= 4
            right *= 4
            bottom *= 4
            left *= 4

            video_output.write(frame)
            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
            cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
            font = cv2.FONT_HERSHEY_DUPLEX
            cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
        cv2.imshow('Video', frame)

        if cv2.waitKey(1) & 0xFF == ord('x'):
          break

    video_capture.release()
    cv2.destroyAllWindows()