import face_recognition
import cv2
import os


def face(path):
    # 存储知道人名列表
    known_names = []
    # 存储知道的特征值
    known_encodings = []
    for image_name in os.listdir(path):
        load_image = face_recognition.load_image_file(path + image_name)  # 加载图片
        image_face_encoding = face_recognition.face_encodings(load_image)[0]  # 获得128维特征值
        known_names.append(image_name.split(".")[0])
        known_encodings.append(image_face_encoding)
    print(known_encodings)

    # 打开摄像头，0表示内置摄像头
    video_capture = cv2.VideoCapture(0)
    # 尝试设置采集分辨率
    video_capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter.fourcc('M', 'J', 'P', 'G'))
    video_capture.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
    video_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
    video_capture.set(cv2.CAP_PROP_FPS, 23)
    process_this_frame = True
    while True:
        ret, frame = video_capture.read()
        # opencv的图像是BGR格式的，而我们需要是的RGB格式的，因此需要进行一个转换。
        rgb_frame = frame[:, :, ::-1]
        if process_this_frame:
            face_locations = face_recognition.face_locations(rgb_frame)  # 获得所有人脸位置
            face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)  # 获得人脸特征值
            face_names = []  # 存储出现在画面中人脸的名字
            for face_encoding in face_encodings:
                matches = face_recognition.compare_faces(known_encodings, face_encoding, tolerance=0.4)
                if True in matches:
                    first_match_index = matches.index(True)
                    name = known_names[first_match_index]
                else:
                    name = "unknown"
                face_names.append(name)

        process_this_frame = not process_this_frame

        # 将捕捉到的人脸显示出来
        for (top, right, bottom, left), name in zip(face_locations, face_names):
            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)  # 画人脸矩形框
            # 加上人名标签
            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('frame', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    video_capture.release()
    cv2.destroyAllWindows()


if __name__ == '__main__':
    face("../static/images/")  # 存放已知图像路径
