def excludeFaceProcess(imgUrl):
faces = facedetect.microsoft_detect(imgUrl)
imgName = re.sub('.*?img/', '', imgUrl)
img = cv2.imread(imgName)
res_img = deColor(img.copy())
for face in faces:
res_img[face[1]:face[3], face[0]:face[2]] = img[face[1]:face[3], face[0]:face[2]]
return res_img
def excludeSkinProcess(imgUrl):
faces = facedetect.microsoft_detect(imgUrl)
imgName = re.sub('.*?img/', '', imgUrl)
img = cv2.imread(imgName)
origin_img = img.copy()
if len(faces) > 0:
face = faces[0]
faceColor = getFaceColors(img[face[1]:face[3], face[0]:face[2]])
img = excludeDeColor(img, faceColor)
else:
img = deColor(img)
d = min(face[3] - face[1], face[2] - face[0]) / 6
for face in faces:
h1, h2 = face[1] + d, face[3] - d
w1, w2 = face[0] + d, face[2] - d
# img[face[1]:face[3], face[0]:face[2]] = img[face[1]:face[3], face[0]:face[2]]
img[h1:h2, w1:w2] = origin_img[h1:h2, w1:w2]
return img
