**
在做opencv dnn 人脸检测的时候一直遇到这个问题,翻遍了谷歌、csdn、Stack Overflow,毛都没有。最后自己摸索出来解决方案如下:
**
1、使用绝对路径
2、使用了绝对路径还不行,试试标注下参数,例如:
readNetFromCaffe(prototxt="D:\github\Opencv-Algorithm-summary\deploy.prototxt"
3、以上方法还是没解决,试试把“\”改为“\\”。
笔者这边正常运行的代码:
#coding=utf-8
import numpy as np
import cv2,os,time
def show_detections(image,detections):
h,w,c=image.shape
for i in range(0, detections.shape[2]):
confidence = detections[0, 0, i, 2]
if confidence >0.6:
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
(startX, startY, endX, endY) = box.astype("int")
text = "{:.2f}%".format(confidence * 100)
y = startY - 10 if startY - 10 > 10 else startY + 10
cv2.rectangle(image, (startX, startY), (endX, endY),
(0, 255,0), 1)
cv2.putText(image, text, (startX, y),
cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 255, 0), 2)
return image
def detect_img(net,image):
blob = cv2.dnn.blobFromImage(cv2.resize(image, (300, 300)), 1.0,
(300, 300), (104.0, 177.0, 123.0))
net.setInput(blob)
start=time.time()
detections = net.forward()
end=time.time()
print(end-start)
return show_detections(image,detections)
def test_dir(net,dir="images"):
files=os.listdir(dir)
for file in files:
filepath=dir+"/"+file
img=cv2.imread(filepath)
showimg=detect_img(net,img)
cv2.imshow("img",showimg)
cv2.waitKey()
def test_camera(net):
cap=cv2.VideoCapture(0)
while True:
ret,img=cap.read()
if not ret:
break
showimg=detect_img(net,img)
cv2.imshow("img",showimg)
cv2.waitKey(1)
if __name__=="__main__":
net = cv2.dnn.readNetFromCaffe(prototxt="D:\github\Opencv-Algorithm-summary\deploy.prototxt",caffeModel="D:\\github\\Opencv-Algorithm-summary\\res10_300x300_ssd_iter_140000_fp16.caffemodel")
#net =cv2.dnn.readNetFromTensorflow(model="D:\opencv\opencv\sources\samples\dnn\face_detector\opencv_face_detector_uint8.pb",config="D:\opencv\opencv\sources\samples\dnn\face_detector\opencv_face_detector.pbtxt")
#test_dir(net)
test_camera(net)