基于python的opencv人脸识别 直接运行可用

import face_recognition

import cv2

video_capture = cv2.VideoCapture(0)

lishiwu_image = face_recognition.load_image_file("..\lishiwu.jpg")

lishiwu_face_encoding =face_recognition.face_encodings(lishiwu_image)[0]

known_face_encodings = [

    lishiwu_face_encoding,

]

known_face_names = [

    "李世武"

]

face_locations = []

face_encodings = []

face_names = []

process_this_frame = True

while True:

    ret, frame = video_capture.read()

    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

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

    if process_this_frame:

        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 = "UNKONWN"

            if True in matches:

                first_match_index = matches.index(True)

                name = known_face_names[first_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

        cv2.rectangle(frame, (left, top), (right, bottom), (255, 0, 255), 2)

        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (255, 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('monitor', frame)

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

        break

video_capture.release()

cv2.destroyAllWindows()