我要使用OpenCV,dlib和Python进行的工作基本上是使用dlib from this blog
来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,脚本运行了,但是它停止了并崩溃了。我知道读取图像的问题,因为它在此步骤之前打印了消息,一旦到达读取图像,它将打印其中的一部分并崩溃。我确定所有路径都是正确的,并且它读取并打印了图像的某些部分的证据并且不能返回NonType Object错误,它给出了检查联机解决方案或停止程序的窗口消息,当我检查联机解决方案时,它不能给我任何信息结果。消息如下:
任何想法和建议都会对我有所帮助。非常感谢