Python人脸识别报错
这个人脸识别在20行会报错
net = cv2.dnn.readNet(prototxtPath, weightsPath)
就是这个↑
报错信息：
cv2.error: OpenCV(4.6.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\caffe\caffe_io.cpp:1126: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "D:\opencv-face-blurring\face_detector\deploy.prototxt" in function 'cv::dnn::ReadProtoFromTextFile'
源代码：
from zy.face_blurring import anonymize_face_pixelate
from zy.face_blurring import anonymize_face_simple
import numpy as np
import argparse
import cv2
import os
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--method", type=str, default="simple",
choices=["simple", "pixelated"],
help="face blurring/anonymizing method")
ap.add_argument("-b", "--blocks", type=int, default=20,
help="# of blocks for the pixelated blurring method")
ap.add_argument("-c", "--confidence", type=float, default=0.5,
help="minimum probability to filter weak detections")
args = vars(ap.parse_args())
print(" loading face detector model...")
prototxtPath = os.path.sep.join()
weightsPath = os.path.sep.join([r'D:\opencv-face-blurring\face_detector',
"res10_300x300_ssd_iter_140000.caffemodel"])
net = cv2.dnn.readNet(prototxtPath, weightsPath)
image = cv2.imread(r'D:\opencv-face-blurring\examples\zy.png')
orig = image.copy()
(h, w) = image.shape[:2]
blob = cv2.dnn.blobFromImage(image, 1.0, (300, 300),
(104.0, 177.0, 123.0))
print(" computing face detections...")
net.setInput(blob)
detections = net.forward()
for i in range(0, detections.shape):
confidence = detections
if confidence > args["confidence"]:
box = detections * np.array()
(startX, startY, endX, endY) = box.astype("int")
face = image
if args["method"] == "pixelated":
face = anonymize_face_simple(face, factor=3.0)
else:
face = anonymize_face_pixelate(face,
blocks=args["blocks"])
image = face
output = np.hstack()
cv2.imshow("Output", output)
cv2.waitKey(0)
已解决
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