使用face_recognition批量识别图片中的人数

#使用face_recognition实现从图片中选中人数并分别输出txt




import face_recognition
import cv2
import os

fin = 'D:\Users\a\Pictures\test_pho'
# 读取图片并识别人脸
for file in os.listdir(fin):
    file_fullname = fin + '/' + file
    img = face_recognition.load_image_file(file_fullname)
    face_locations = face_recognition.face_locations(img)
    print(face_locations)
    faceNum = len(face_locations)
    print(faceNum)
    num = str(faceNum)
    file_object = open(file_fullname+'.txt', 'w')
    file_object.write(num+ '个人')
    file_object.close()

    # 调用opencv函数显示图片
    # img = cv2.imread("D:\Users\a\Pictures\test_pho\3.jpg")
    # cv2.namedWindow("pre_pho")
    # cv2.imshow("pre_pho", img)

#遍历每个人脸，并标注
    # faceNum = len(face_locations)
    # print(faceNum)
    for i in range(0, faceNum):
        top = face_locations[i][0]
        right = face_locations[i][1]
        bottom = face_locations[i][2]
        left = face_locations[i][3]

        start = (left, top)
        end = (right, bottom)

        color = (55, 255, 155)
        thickness = 3
        cv2.rectangle(img, start, end, color, thickness)

# 显示识别结果
# cv2.namedWindow("rec_pho")
# cv2.imshow("rec_pho", img)

cv2.waitKey(0)
cv2.destroyAllWindows()