python 人工智能—人脸检测

ZWM962464

这是教的代码，教程能正常运行，我的却一直报错
import cv2
import os
import time
from mxnet_mtcnn_face_detection.mtcnn_detector import MtcnnDetector
import mxnet as mx
import numpy as np

detector = MtcnnDetector(model_folder="./mxnet_mtcnn_face_detection/model", ctx=mx.cpu(0), num_worker=4, accurate_landmark=False)

imgdir = 'face_images'
graydir = 'gray_face_images'

def captureface(someone=None, number=600, waiktey=0):
    capture=cv2.VideoCapture(0)  # 调用摄像头
    time.sleep(1)  # 等待一秒钟 让摄像头预热
    file_path = os.path.join(imgdir, someone)  # 某个人的照片的存放路径
    if not os.path.exists(file_path):
        os.makedirs(os.path.join(imgdir, file_path))
    for i in range(number):

        _, img = capture.read()  # 拍照
        cv2.imwrite(os.path.join(file_path, str(i)+'.jpg'), img)
        cv2.imshow(file_path, img)
        if cv2.waitKey(waiktey) == ord('q'):
            break
    capture.release()
    cv2.destroyAllWindows()

captureface(someone='zhangsan', waiktey=600)

someone = 'zhangsan'
size = 64

img = cv2.imread('zhangmin1 .jpg')
result = detector.detect_face(img)  #检测图片中的人脸
newPath = os.path.join(graydir, someone)

if not os.path.exists(newPath):
    os.makedirs(newPath)


if result is not None:
    faceboxes = result[0]
    index = np.sum(faceboxes < 0,axis=1) == 0
    faceboxes = faceboxes[index]  # 删除人脸不全的信息
    for a in faceboxes:
        face = img[int(a[1]):int([3])+1, int(a[0]):int(a[2])+1]  # 将图片中的人脸部位截取出来
        gray = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)  # 将彩色图转换成灰色图
        gray = cv2.resize(gray, (size, size))          #
        cv2.imwrite()
        cv2.imshow('face1', face)
        cv2.waitKey(10000)

报错如下：
  is not going to be frozen to produce an executable.''')
RuntimeError:
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
Traceback (most recent call last):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
Traceback (most recent call last):
  File "<string>", line 1, in <module>