def isnude(self, file):
#图像压缩处理
imagePath = IMAGE_DIR + file
nudeImg = IMAGE_DIR + "nude_" + file
# print(nudeImg)
# disImg = IMAGE_DIR +file
self.resizeImg(ori_img=imagePath,
dst_img=nudeImg,
dst_w=600,
dst_h=600,
save_q=100)
# faces = self.face("dis"+file)
faces = self.face("nude_" + file)
if (len(faces) < 1):
print("no face")
return -1
else:
self.cropImg("nude_" + file, faces)
n = Nude(nudeImg)
# n = Nude(newImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
print(n.result, n.inspect(), '\n<br/>')
print('stop waiting', time.strftime('%H:%M:%S'), '\n<br/>')
return 1 if n.result else 0
def run(argv):
for index in range(1, len(argv)):
filename = str(argv[index])
n = Nude(filename)
n.parse()
print(filename, n.result, n.inspect())
return 0
def main():
if len(sys.argv) < 2:
print("Usage: {0} <image>".format(sys.argv[0]))
return 1
# else
fname = sys.argv[1]
print(is_nude(fname))
n = Nude(fname)
n.parse()
print("{0}: {1} {2}".format(fname, n.result, n.inspect()))
return 0
def main():
if len(sys.argv) < 2:
print("Usage: {0} <image>".format(sys.argv[0]))
return 1
# else
fname = sys.argv[1]
print(is_nude(fname))
n = Nude(fname)
n.parse()
print("{0}: {1} {2}".format(fname, n.result, n.inspect()))
return 0
def process(path):
try:
n = Nude(path)
n.parse()
logger.info('path:%s, result:%s, detail:%s', path, n.result, n.inspect())
if n.result:
shutil.copy(path, porn_dir)
else:
shutil.copy(path, not_porn_dir)
except Exception as err:
logger.error('image error')
def main():
# 請插入媒體文件進行分析
__media_data = input("Please insert a media file for analysis: ")
__isNude = Nude(__media_data)
__isNude.parse()
__isNudeInspection = __isNude.inspect()
__isNudeResult = __isNude.result
if "Nude!!" in __isNudeInspection:
#print("result ", __isNude.result, __isNude.inspect())
# 結果: 該圖片包含色情數據
output = """
{
"nude" = "true";
};
"""
print(output)
else:
# 結果: 該圖片不包含色情數據
output = """
{
"nude" = "false";
}; """
print(output)
def isnude(self,file):
#图像压缩处理
imagePath = IMAGE_DIR + file
nudeImg = IMAGE_DIR +"nude_"+file
# disImg = IMAGE_DIR +file
self.resizeImg(ori_img=imagePath,dst_img=nudeImg,dst_w=300,dst_h=300,save_q=100)
# faces = self.face("dis"+file)
faces = self.face("nude_"+file)
if(len(faces)<1):
print("no face")
return -1
else:
self.cropImg("nude_"+file, faces)
n = Nude(nudeImg)
# n = Nude(newImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
print(n.result, n.inspect(), '\n<br/>')
# print n.result
return 1 if n.result else 0
__FILENAME__ = testnude
import nude
from nude import Nude
#print("damita :", nude.is_nude('./images/damita.jpg'))
#print("damita2:", nude.is_nude('./images/damita2.jpg'))
#print("test6 :", nude.is_nude('./images/test6.jpg'))
#print("test2 :", nude.is_nude('./images/test2.jpg'))
n = Nude('./images/damita.jpg')
n.parse()
print(n.result, n.inspect())
n = Nude('./images/damita2.jpg')
n.parse()
print(n.result, n.inspect())
n = Nude('./images/test6.jpg')
n.parse()
print(n.result, n.inspect())
n = Nude('./images/test2.jpg')
n.parse()
print(n.result, n.inspect())
########NEW FILE########
__FILENAME__ = nude
#!/usr/bin/env python
# encoding: utf-8
from __future__ import (absolute_import, division, print_function,
from __future__ import print_function import time import os from nude import Nude ROOT = os.path.dirname(os.path.abspath(__file__)) start = time.time() n = Nude(os.path.join(ROOT, 'images/damita.jpg')) n.parse() print(time.time() - start) print(n.result, n.inspect()) # start = time.time() # n = Nude(os.path.join(ROOT, 'images/damita2.jpg')) # n.parse() # print(time.time() - start) # print(n.result, n.inspect()) # # start = time.time() # n = Nude(os.path.join(ROOT, 'images/test6.jpg')) # n.parse() # print(time.time() - start) # print(n.result, n.inspect()) # # start = time.time() # n = Nude(os.path.join(ROOT, 'images/test2.jpg')) # n.parse() # print(time.time() - start) # print(n.result, n.inspect())
import nude
from nude import Nude
print(nude.is_nude('images.jpg'))
m = Nude('img.webp')
m.parse()
print("damita_1 :", m.result, m.inspect())
n = Nude('images2.jpg')
n.parse()
print("damita_2 :", n.result, n.inspect())
#coding:utf-8
'''
基于肤色的裸体图像检测
'''
import nude
from nude import Nude
print(nude.is_nude('datas/images/test2.jpg'))
n = Nude('datas/images/test2.jpg')
n.parse()
print("damita :", n.result, n.inspect())
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Detect faces in the image
faces = facecascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# print("Found {0} faces!".format(len(faces)))
# Draw a rectangle around the faces
# for (x, y, w, h) in faces:
# cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
return faces
newImg = resizeImg(ori_img=file,dst_img=disImg,dst_w=300,dst_h=300,save_q=100)
faces = facedetect(newImg)
n = Nude(newImg)
n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
print(n.result, n.inspect(), '\n<br/>')
print('stop waiting', time.strftime('%H:%M:%S'), '\n<br/>')