def isnude(file):
#图像压缩处理
imagePath = IMAGE_DIR + file
disImg = IMAGE_DIR +"dis"+file
newImg = resizeImg(ori_img=imagePath,dst_img=disImg,dst_w=300,dst_h=300,save_q=100)
faces = face("dis"+file)
n = Nude(newImg)
n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
def isnude(file):
#图像压缩处理
imagePath = IMAGE_DIR + file
disImg = IMAGE_DIR + "dis" + file
newImg = resizeImg(ori_img=imagePath,
dst_img=disImg,
dst_w=300,
dst_h=300,
save_q=100)
faces = face("dis" + file)
n = Nude(newImg)
n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
# for (x, y, w, h) in faces:
# cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
return faces
print('start waiting', time.strftime('%H:%M:%S'))
# n = Nude("/Users/fengxuting/Downloads/testphoto/1464317011202A33605A.jpg")
file = ROOT + "/public/uploads/nude/1464319781149AC72DF3.jpg"
faces = facedetect(file)
#计算人脸面积占整个图片的比例
im = Image.open(file)
ori_w, ori_h = im.size
area = 0
for (x, y, w, h) in faces:
area = area + w * h
print(file)
print((float(area) / (ori_w * ori_h)) * 100)
n = Nude(file)
n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print "",time.strftime()('%H:%M:%S')
print(n.result, n.inspect())
print('stop waiting', time.strftime('%H:%M:%S'))
# for (x, y, w, h) in faces:
# cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
return faces
print('start waiting', time.strftime('%H:%M:%S'))
# n = Nude("/Users/fengxuting/Downloads/testphoto/1464317011202A33605A.jpg")
file = ROOT+"/public/uploads/nude/1464319781149AC72DF3.jpg"
faces = facedetect(file)
#计算人脸面积占整个图片的比例
im = Image.open(file)
ori_w, ori_h = im.size
area = 0
for (x, y, w, h) in faces :
area = area+w*h
print(file)
print((float(area)/(ori_w*ori_h))*100)
n = Nude(file)
n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print "",time.strftime()('%H:%M:%S')
print(n.result, n.inspect())
print('stop waiting', time.strftime('%H:%M:%S'))