import face_recognition
import numpy as np
from detect import *

# 人脸认证相关
def face(path):
    known_names = []
    known_encodings = []

    for image_name in os.listdir(path):
        load_image = face_recognition.load_image_file(os.path.join(path, image_name))
        image_face_encoding = face_recognition.face_encodings(load_image)[0]
        known_names.append(image_name.split('.')[0])
        known_encodings.append(image_face_encoding)

    video_capture = cv2.VideoCapture(0)
    # video_capture = cv2.VideoCapture('./image/WeChat_20230808163758.mp4')  # 读取视频
    process_this_frame = True

    while True:
        ret, frame = video_capture.read()
        rgb_frame = np.ascontiguousarray(frame[:, :, ::-1])

        if process_this_frame:
            face_locations = face_recognition.face_locations(rgb_frame)
            face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
            face_names = []
            for face_encodings in face_encodings:
                matches = face_recognition.compare_faces(known_encodings, face_encodings, tolerance=0.5)
                if True in matches:
                    first_match_index = matches.index(True)
                    name = 'name:' + known_names[first_match_index]
                else:
                    name = 'weiluru'
                face_names.append(name)
        process_this_frame = not process_this_frame

        if len(face_locations) == 0:
            cv2.imshow('frame', frame)
            if cv2.waitKey(1) & 0xFF == ord(' '):
                break
            else:
                continue

        for (top, right, bottom, left), name in zip(face_locations, face_names):
            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
            cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255))
            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(' '):
            break

    video_capture.release()
    cv2.destroyAllWindows()


if __name__ == '__main__':
    face('data/images')