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autoObf.py
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autoObf.py
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# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '771.ui'
#
# Created by: PyQt5 UI code generator 5.14.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QFileDialog, QApplication,QLabel
import sys
import skimage
from skimage.viewer import ImageViewer
import imagehash
import cv2
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image, ImageFilter,ImageDraw
import random
import os,sys
from prediction import predictor
class Ui_Dialog(object):
global imgName, oImg, resultImg, pred, hashed
def setupUi(self, Dialog):
global pred
pred = predictor()
Dialog.setObjectName("Dialog")
Dialog.resize(330, 481)
self.open_file = QtWidgets.QPushButton(Dialog)
self.open_file.clicked.connect(self.getImage)
self.open_file.setGeometry(QtCore.QRect(170, 70, 91, 31))
self.open_file.setObjectName("open_file")
# button for obfuscating methods
self.ECB = QtWidgets.QPushButton(Dialog)
self.ECB.clicked.connect(self.fingerprint)
self.ECB.setGeometry(QtCore.QRect(180, 150, 89, 32))
self.ECB.setObjectName("fingerprint")
self.AES = QtWidgets.QPushButton(Dialog)
self.AES.clicked.connect(self.encrypt)
self.AES.setGeometry(QtCore.QRect(90, 150, 89, 32))
self.AES.setObjectName("encrypt")
self.Gaussian = QtWidgets.QPushButton(Dialog)
self.Gaussian.clicked.connect(self.blur)
self.Gaussian.setGeometry(QtCore.QRect(0, 150, 89, 32))
self.Gaussian.setObjectName("blur")
# Words
self.label = QtWidgets.QLabel(Dialog)
self.label.setGeometry(QtCore.QRect(10, 80, 181, 16))
self.label.setObjectName("label")
self.label_2 = QtWidgets.QLabel(Dialog)
self.label_2.setGeometry(QtCore.QRect(10, 120, 221, 16))
self.label_2.setObjectName("label_2")
# Photos
self.originalImg = QtWidgets.QLabel(Dialog)
self.originalImg.setGeometry(QtCore.QRect(10, 270, 151, 151))
self.originalImg.setObjectName("originalImg")
self.result = QtWidgets.QLabel(Dialog)
self.result.setGeometry(QtCore.QRect(170, 270, 151, 151))
self.result.setObjectName("result")
# button for Screen and Classify
self.initialScrern = QtWidgets.QPushButton(Dialog)
self.initialScrern.clicked.connect(self.screen)
self.initialScrern.setGeometry(QtCore.QRect(10, 200, 81, 32))
self.initialScrern.setObjectName("Screen")
self.classify = QtWidgets.QPushButton(Dialog)
self.classify.clicked.connect(self.classification)
self.classify.setGeometry(QtCore.QRect(180, 200, 81, 32))
self.classify.setObjectName("Classify")
# Words
self.label_3 = QtWidgets.QLabel(Dialog)
self.label_3.setGeometry(QtCore.QRect(10, 240, 91, 20))
self.label_3.setObjectName("label_3")
self.label_4 = QtWidgets.QLabel(Dialog)
self.label_4.setGeometry(QtCore.QRect(180, 240, 91, 20))
self.label_4.setObjectName("label_4")
self.label_6 = QtWidgets.QLabel(Dialog)
self.label_6.setGeometry(QtCore.QRect(110, 25, 50, 30))
self.label_6.setObjectName("label_6")
self.retranslateUi(Dialog)
QtCore.QMetaObject.connectSlotsByName(Dialog)
def retranslateUi(self, Dialog):
_translate = QtCore.QCoreApplication.translate
Dialog.setWindowTitle(_translate("Dialog", "Dialog"))
self.open_file.setText(_translate("Dialog", "Open"))
self.ECB.setText(_translate("Dialog", "Fingerprint"))
self.AES.setText(_translate("Dialog", "Encryption"))
self.Gaussian.setText(_translate("Dialog", "Blurring"))
self.initialScrern.setText(_translate("Dialog", "Screen"))
self.classify.setText(_translate("Dialog", "Classify"))
self.label.setText(_translate("Dialog", "Please select your photo:"))
self.label_2.setText(_translate("Dialog", "Available obfuscating methods:"))
self.label_3.setText(_translate("Dialog", "Original Image:"))
self.label_4.setText(_translate("Dialog", "Result:"))
self.label_6.setText(_translate("Dialog", "AutoObfu"))
def getImage(self):
global imgName
oImg = QFileDialog().getOpenFileName(None,"Open Image", "", "Image Files (*.png *.jpg *.bmp)")
imgName = oImg[0]
jpg = QtGui.QPixmap(imgName).scaled(150, 150)
self.originalImg.setPixmap(jpg)
def encrypt(self):
global resultImg
resultImg = 1
tmp = imgName
image = cv2.imread(tmp) # reads the image
pixels = image
row = 28
col = 28
row1 = 1000003
phi = [0 for x1 in range(row1)]
occ = [0 for x1 in range(row1)]
primes = []
phi[1] = 1
for i in range(2,1000001):
if(phi[i] == 0):
phi[i] = i-1
primes.append(i)
for j in range (2*i,1000001,i):
if(occ[j] == 0):
occ[j] = 1
phi[j] = j
phi[j] = (phi[j]*(i-1))//i
p = primes[random.randrange(1,167)]
q = primes[random.randrange(1,167)]
n = p*q
mod = n
phin1 = phi[n]
phin2 = phi[phin1]
e = primes[random.randrange(1,9000)]
mod1 = phin1
def power1(x,y,m):
ans=1
while(y>0):
if(y%2==1):
ans=(ans*x)%m
y=y//2
x=(x*x)%m
return ans
d = power1(e,phin2-1,mod1)
enc = [[0 for x in range(row)] for y in range(col)]
dec = [[0 for x in range(row)] for y in range(col)]
for i in range(col):
for j in range(row):
r = pixels[i][j]
r1 = power1(r+10,e,mod)
enc[i][j] = r1
img = np.array(enc,dtype = np.uint8)
img1 = Image.fromarray(img)
iName= 'Encrypted.png'
img1.save(iName)
blurred = QtGui.QPixmap(iName).scaled(150,150)
self.result.setPixmap(blurred)
self.result.show()
def fingerprint(self):
global resultImg, hashed
resultImg = 2
tmp = imgName
hashed = imagehash.phash(Image.open(tmp))
img = Image.new('RGB', (150,150), color = (73, 109, 137))
d = ImageDraw.Draw(img)
d.text((10,50), "Fingerprint: \n"+str(hashed), fill=(255, 255, 0))
iName= 'Fingerprint.png'
img.save(iName)
blurred = QtGui.QPixmap(iName).scaled(150,150)
self.result.setPixmap(blurred)
self.result.show()
def blur(self):
global resultImg
resultImg = 0
tmp = imgName
image = cv2.imread(tmp) # reads the image
new_image = cv2.GaussianBlur(image, (3, 3), cv2.BORDER_DEFAULT)
iName= 'Blurred.png'
cv2.imwrite(iName, new_image)
blurred = QtGui.QPixmap(iName).scaled(150,150)
self.result.setPixmap(blurred)
self.result.show()
def screen(self):
img = Image.new('RGB', (150,150), color = (73, 109, 137))
d = ImageDraw.Draw(img)
d.text((10,50), "Recommendation: \n Blur method", fill=(255, 255, 0))
iName= 'screen.png'
img.save(iName)
screen = QtGui.QPixmap(iName).scaled(150,150)
self.result.setPixmap(screen)
def temp(self, word):
img = Image.new('RGB', (150,150), color = (73, 109, 137))
d = ImageDraw.Draw(img)
d.text((10,50),"The predicted result:\n" + word, fill=(255, 255, 0))
iName= 'temp.png'
img.save(iName)
screen = QtGui.QPixmap(iName).scaled(150,150)
self.result.setPixmap(screen)
def classification(self):
global resultImg, pred, hashed
try:
if resultImg == 0:
self.temp(pred.pred_blur())
elif resultImg == 1:
self.temp(pred.pred_encrypt())
elif resultImg == 2:
self.temp(pred.pred_fingerprint(hashed))
print("call the fingerprint to classify")
except Exception as e:
print("no photo has been upload")
raise e
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
Dialog = QtWidgets.QDialog()
ui = Ui_Dialog()
ui.setupUi(Dialog)
Dialog.show()
sys.exit(app.exec_())