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我正在尝试使用 OpenCV、dlib 和 Python 做的是基本上使用此博客中的 dlib 识别一组图像上的面部标志

这是我的代码：

from imutils import face_utils
import numpy as np
import argparse
import imutils
import dlib
import cv2

# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("C:\\Users\SONY\pycharmProjects\multiclass_face_recognition\shape_predictor_68_face_landmarks.dat")


# load the input image, resize it, and convert it to grayscale
image = cv2.imread("C:\\Users\SONY\PycharmProjects\multiclass_face_recognition\images\example_01.jpg")
print("the image readed")
image = imutils.resize(image, width=500)
print("the image resized")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
print("the image converted to gray")
print(gray)

# detect faces in the grayscale image
rects = detector(gray, 1)
print("the image detected")
# loop over the face detections
for (i, rect) in enumerate(rects):
    # array
    shape = predictor(gray, rect)
    shape = face_utils.shape_to_np(shape)


    (x, y, w, h) = face_utils.rect_to_bb(rect)
    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

    # show the face number
    cv2.putText(image, "Face #{}".format(i + 1), (x - 10, y - 10),
        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

    # loop over the (x, y)-coordinates for the facial landmarks
    # and draw them on the image
    for (x, y) in shape:
        cv2.circle(image, (x, y), 1, (0, 0, 255), -1)

# show the output image with the face detections + facial landmarks
cv2.imshow("Output", image)
cv2.waitKey(0)

现在，我没有收到任何消息错误，脚本运行，但它停止并崩溃了。我知道读取图像的问题，因为它在这一步之前打印了消息，一旦到达读取图像，它就会打印一部分并崩溃。我确定所有路径都是正确的，并且它读取并打印图像的某些部分并且无法返回 NonType Object 错误的证据，它给出了检查在线解决方案或停止程序的窗口消息，当我检查在线解决方案时，它不能给我任何结果。消息如下：

在此处输入图像描述

任何想法和建议都会帮助我。非常感谢

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