def image(self):
img = cv2.imread(self.image_path)
img = imutils.resize(img,width=min(800,img.shape[1]))
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray,(21,21),0)
fullbody = self.HogDescriptor(gray)
for (x,y,w,h) in fullbody:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
faces = self.haar_facedetection(gray)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = self.haar_eyedetection(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color, (ex,ey), (ex+ew,ey+eh), (0,255,0),2)
smile = self.haar_smilecascade(roi_gray)
for (sx,sy,sw,sh) in smile:
cv2.rectangle(roi_color, (sx,sy), (sx+sw,sy+sh),(0,255,0),2)
img = self.dlib_function(img)
cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
facepose_detection.py 文件源码
python
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