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 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 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 or lt 2")
self.delImg(file)
return -1
else:
if (not self.cropImg("nude_" + file, faces)):
return 0
n = Nude(nudeImg)
# n = Nude(newImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
def process(self, profile_path):
for root, dirs, files in os.walk(profile_path):
for f in files:
fp = os.path.join(root, f)
if self.compat(fp):
ai = Nude(fp)
ai.parse()
yield fp, ai.result
def detect_nudity(filename):
if magic.from_file(filename, mime=True) == "image/jpeg":
print("Check if the image contains nudity: %s" % (filename, ))
n = Nude(filename)
n.parse()
nudity = str(n.result)
helper.sqlite_insert("Nudity", nudity, os.path.basename(filename))
return nudity
else:
print "Nudity Detection works only with JPEG"
return None
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 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 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 isnude(self, file):
#图像压缩处理
imagePath = IMAGE_DIR + file
nudeImg = IMAGE_DIR + "nude_" + file
# self.resizeImg(ori_img=imagePath,dst_img=nudeImg,dst_w=300,dst_h=300,save_q=100)
# faces = self.face("nude_"+file)
# self.cropImg("nude_"+file,faces)
n = Nude(nudeImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
def isnude(self,file):
#图像压缩处理
imagePath = IMAGE_DIR + file
nudeImg = IMAGE_DIR +"nude_"+file
# self.resizeImg(ori_img=imagePath,dst_img=nudeImg,dst_w=300,dst_h=300,save_q=100)
# faces = self.face("nude_"+file)
# self.cropImg("nude_"+file,faces)
n = Nude(nudeImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
def run(self, task):
try:
tmp_image = str2image(task.get_file_data)
n = Nude(tmp_image)
# The resize is used to have although less accurate processing.
# TODO: move this to options panel.
n.resize(maxwidth=1000)
n.parse()
except Exception as e:
logger.warning("[Task {0}]: Error detecting nude: {1}".format(task.id, e))
else:
self.results["nude"]["nudepy"]["result"] = n.result
self.results["nude"]["nudepy"]["msg"] = n.message
return self.results
def check_image(pic):
pic = os.path.join(current_app.root_path, 'static/profile_pics', pic)
picsamp = pic.replace('\\', '/')
client = SightengineClient('82714170', 'RT4oo9fZFDbNsrvV6VSp')
output = client.check('nudity', 'wad', 'celebrities', 'scam',
'face-attributes').set_file(picsamp)
invalidImage = False
# contains nudity
if output['nudity']['safe'] <= output['nudity']['partial'] and output[
'nudity']['safe'] <= output['nudity']['raw']:
invalidImage = True
n = Nude(picsamp)
n.parse()
print(n.result, n.message)
return invalidImage
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(file)
if(len(faces)<1):
print("no face")
return -1
else:
self.cropImg(file, faces)
n = Nude(nudeImg)
# n = Nude(newImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
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
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 or lt 2")
self.delImg(file)
return -1
else:
if(not self.cropImg("nude_"+file, faces)):
return 0
n = Nude(nudeImg)
# n = Nude(newImg)
# n.setFaces(faces)
# n.resize(1000,1000)
n.parse()
# print n.result
return 1 if n.result else 0
def run(self, task):
try:
tmp_image = str2image(task.get_file_data)
n = Nude(tmp_image)
# The resize is used to have although less accurate processing.
# TODO: move this to options panel.
n.resize(maxwidth=1000)
n.parse()
except Exception as e:
logger.warning("[Task {0}]: Error detecting nude: {1}".format(
task.id, e))
else:
self.results["nude"]["nudepy"]["result"] = n.result
self.results["nude"]["nudepy"]["msg"] = n.message
return self.results
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
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())
# 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'))
# pylint: disable=C0103
# Example of usage
# n = Nude('./images/filename.extension')
# n.parse()
# print(n.result, n.inspect())
#n = Nude('./images/p1.jpg')
#n.parse()
#images format
images_format = ['jpg', 'png', 'gif', 'tiff']
#getting list of images in folder images in different format
images_jpg = glob.glob("./images/*.jpg")
images_png = glob.glob("./images/*.png")
images_gif = glob.glob("./images/*.gif")
images_tiff = glob.glob("./images/*.tiff")
images_list = itertools.chain(images_jpg, images_png, images_gif, images_tiff)
#loop for checking images nude or not
#for index in range(len(images_list)):
# n = Nude( images_list[index] )
for i in images_list:
print(i)
n = Nude(i)
n.parse()
print(n.result, n.inspect())
html = response.read()
m = re.search("<img.+?src=[\"'](.+?)[\"'].*?>", html)
if m is not None:
lol = m.group(0)
m = re.search("/(.+?)png", lol)
if m is not None:
lol2 = m.group(0)
input = "https:" + lol2
urllib.urlretrieve(
input, "/Users/julienmalka/Desktop/UplmgNudeLocator/images/" +
mdr + ".png")
n = Nude('/Users/julienmalka/Desktop/UplmgNudeLocator/images/' + mdr +
".png")
n.parse()
if n.result == False:
print bcolors.OKGREEN + "No nude on this one" + bcolors.ENDC
os.remove("/Users/julienmalka/Desktop/UplmgNudeLocator/images/" +
mdr + ".png")
else:
print bcolors.OKBLUE + "Nude Found" + bcolors.ENDC
except urllib2.HTTPError, e:
print bcolors.FAIL + "URL est une 404" + bcolors.ENDC
compteur = compteur + 1
def is_nude(path_or_io):
nude = Nude(path_or_io)
return nude.parse().result
# 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'))
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())
def __init__(self, path):
self.nude_image = Nude(path)
class OffensiveImage():
def __init__(self, path):
self.nude_image = Nude(path)
def is_nude(self):
return self.nude_image.parse().result
__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,
__author__ = "susmote"
from nude import Nude
import os
IMAGE_ROOT = ROOT = os.path.dirname(os.path.abspath(__file__)) + "\\imags\\"
for file_name in os.listdir(IMAGE_ROOT):
file_path = os.path.join(IMAGE_ROOT, file_name)
if os.path.isdir(file_name):
continue
n = Nude(file_path)
n.parse()
print(n.skin_map)
if n.result is True:
print(file_name, "可能是一张裸体照", n.message)
elif n.result is False:
print(file_name, "是一张正常的图片", n.message)
async def on_message(self, message):
# If bot or Administrator
if message.author.bot or message.author.guild_permissions.administrator is True:
return
if message.content == "" and len(message.attachments) == 0:
return
# Nudity check
if (message.channel.nsfw is not True) and (len(message.attachments) > 0):
# Used : https://github.com/hhatto/nude.py
# Other option : https://github.com/notAI-tech/NudeNet (untested)
for i in message.attachments:
# Check if the attachment is an image
if i.filename.endswith((".png", ".jpg", ".jpeg")):
# Data
with open("configuration.json", "r") as config:
data = json.load(config)
anti_nudity = data["antiNudity"]
if anti_nudity is True:
log_channel = data["logChannel"]
# Get the image
async with aiohttp.ClientSession() as session:
async with session.get(i.url) as response:
image_bytes = await response.read()
# Convert the image to io
image_bytes = BytesIO(image_bytes)
# Check the image
n = Nude(image_bytes)
n.parse()
if n.result is True:
# Logs
i.filename = f"SPOILER_{i.filename}"
spoiler = await i.to_file()
embed = discord.Embed(title=f"**{message.author}がわいせつな画像を送信しました。**",
description=f"チャンネル：{message.channel.mention}\n\n"
f"**ユーザー情報 :__**\n\n"
f"**名前 :** {message.author}\n"
f"**Id :** {message.author.id}\n\n"
f"**該当の画像 :**",
color=0xff0000)
await sendLogMessage(self, event=message, channel=log_channel, embed=embed,
messageFile=spoiler)
# embed = discord.Embed(title = f"**{message.author} has sent a nudity image.**",
# description = f"In {message.channel.mention}.\n\n**__User informations :__**\n\n**Name
# :** {message.author}\n**Id :** {message.author.id}\n\n**The image :**",
# color = 0xff0000) embed.set_image(url=i.url) await logChannel.send(embed = embed)
# Delete
await message.delete()
await message.channel.send(f"{message.author.mention} わいせつな画像をそうしんしないで下さい！")
# Data
with open("configuration.json", "r") as config:
data = json.load(config)
anti_profanity = data["antiProfanity"]
anti_spam = data["antiSpam"]
allow_spam = data["allowSpam"]
log_channel = data["logChannel"]
# Anti profanity
if anti_profanity is True:
words = [message.content]
profanity = predict(words) # profanity2 = predict_prob(words)
if profanity[0] == 1:
await message.delete() # Delete
await message.channel.send(f"{message.author.mention} Do not insult!")
# Logs
if len(message.content) > 1600:
message.content = message.content + "..."
embed = discord.Embed(title=f"**{message.author}が侮辱を含んだメッセージを送信しました。**",
description=f"チャンネル：{message.channel.mention}.\n\n"
f"**__ユーザー情報 :__**\n\n"
f"**名前 :** {message.author}\n"
f"**Id :** {message.author.id}\n\n"
f"**該当のメッセージ :**\n\n{message.content}",
color=0xff0000)
await sendLogMessage(self, event=message, channel=log_channel, embed=embed)
# Anti spam
if anti_spam is True:
def check(passed_message):
return passed_message.author == passed_message.author and \
(datetime.utcnow() - passed_message.created_at).seconds < 15
if message.author.guild_permissions.administrator:
return
if message.channel.id in allow_spam:
return
if len(list(filter(lambda m: check(m), self.bot.cached_messages))) >= 8 and len(
list(filter(lambda m: check(m), self.bot.cached_messages))) < 12:
await message.channel.send(f"{message.author.mention} Stop spam please!")
elif len(list(filter(lambda m: check(m), self.bot.cached_messages))) >= 12:
embed = discord.Embed(title=f"**YOU HAVE BEEN KICKED FROM {message.author.guild.name}**",
description=f"Reason : You spammed.", color=0xff0000)
await message.author.send(embed=embed)
await message.author.kick() # Kick the user
await message.channel.send(f"{message.author.mention} was kicked for spamming !")
# Logs -> Create a hastbin file
log_time = datetime.now().strftime("%m/%d/%Y at %H:%M:%S")
logs = f"[LOGS] {self.bot.user.name.upper()} - ANTI-SPAM \n\n" \
f"{message.author} ({message.author.id}) spammed in \"{message.channel}\" the {log_time}\n\n"
message_number = 0
# Get user messages
user_cache_messages = [i for i in self.bot.cached_messages if i.author.id == message.author.id]
for i in user_cache_messages[-10:]:
message_number += 1
logs = f"{logs}\n[{message_number}] {i.content}"
url = 'https://hastebin.com'
async with aiohttp.ClientSession() as session:
async with session.post(f'{url}/documents', data=logs) as hastbin:
hastbin = await hastbin.json()
hastbin_url = url + "/" + hastbin['key']
embed = discord.Embed(title=f"**{message.author}がキックされました。**",
description=f"**理由 :**{message.channel.mention}でスパムを行いました。\n\n"
f"**__ユーザー情報 :__**\n\n"
f"**名前 :** {message.author}\n"
f"**Id :** {message.author.id}\n\n"
f"**ログ :** {hastbin_url}",
color=0xff0000)
await sendLogMessage(self, event=message, channel=log_channel, embed=embed)
#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())
html = response.read()
m = re.search("<img.+?src=[\"'](.+?)[\"'].*?>",html)
if m is not None:
lol= m.group(0)
m = re.search("/(.+?)png",lol)
if m is not None:
lol2= m.group(0)
input = "https:"+lol2
urllib.urlretrieve(input, "/Users/julienmalka/Desktop/UplmgNudeLocator/images/"+mdr+".png")
n = Nude('/Users/julienmalka/Desktop/UplmgNudeLocator/images/'+mdr+".png")
n.parse()
if n.result==False:
print bcolors.OKGREEN + "No nude on this one" + bcolors.ENDC
os.remove("/Users/julienmalka/Desktop/UplmgNudeLocator/images/"+mdr+".png")
else:
print bcolors.OKBLUE + "Nude Found" + bcolors.ENDC
except urllib2.HTTPError, e:
