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functions.py
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functions.py
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import numpy as np
import cv2
from PIL import ImageTk, Image
import numpy as np
from tkinter import Tk,Spinbox,Button, Label
from tkinter.filedialog import askopenfilename
import secrets
import string
import threading
import time
def OpenImage(root, image, spin):
print('open image')
try:
Tk().withdraw()
filename = askopenfilename()
return Image.open(filename)
except:
print("Choose correct file")
return image
def Save(root, image, spin):
try:
print("Save image")
image.save('ark.jpg')
print("after saving")
return image
except:
return image
def Exit(root, image, spin):
print("Exit")
root.destroy()
exit()
def Averaging(root, image,spin):
print("Averaging Blur")
try:
data = np.asarray(image)
n = int(spin.get())
blur = cv2.blur(data,(n,n))
return Image.fromarray(blur)
except:
showpop("May be you used wrong input")
def GaussianBlurring(root, image,spin):
print("Guassian Blur")
try:
data = np.asarray(image)
n = int(spin.get())
if(n%2 == 0):
showpop("Use odd values only for Guassian Kernel")
return image
blur = cv2.GaussianBlur(data,(n,n),0)
return Image.fromarray(blur)
except:
showpop("May be you used wrong input")
def MedianBlurring(root, image,spin):
print("Median Blur")
try:
data = np.asarray(image)
n = int(spin.get())
if(n%2 == 0):
showpop("Use odd values only for Median Blur")
return image
blur = cv2.medianBlur(data,n)
return Image.fromarray(blur)
except:
showpop("May be you used wrong input")
def BilateralFiltering(root, image,spin):
try:
print("Bilateral Filtering")
data = np.asarray(image)
n = int(spin.get())
blur = cv2.bilateralFilter(data,n,75,75)
return Image.fromarray(blur)
except:
return image
def Convolution2D(root, image,spin):
print("Convolution 2D Filter")
try:
data = np.asarray(image)
n = int(spin.get())
kernel = np.ones((n,n),np.float32)/25
blur = cv2.filter2D(data,-1,kernel)
return Image.fromarray(blur)
except:
showpop("May be you used wrong input")
return image
def RGB2GRAY(root, image,spin):
print("RGB to Gray")
try:
data = np.asarray(image)
blur = cv2.cvtColor(data, cv2.COLOR_BGR2GRAY)
return Image.fromarray(blur)
except:
showpop("Something went wrong")
return image
def RGB2HSV(root, image,spin):
print("RGB to HSV")
try:
data = np.asarray(image)
blur = cv2.cvtColor(data, cv2.COLOR_BGR2HSV)
print(data.shape, blur.shape)
return Image.fromarray(blur)
except:
showpop("Gray Scale images are not allowed HSV filter")
return image
def RGB2HLS(root, image,spin):
print("RGB to HLS")
try:
data = np.asarray(image)
blur = cv2.cvtColor(data, cv2.COLOR_RGB2HLS)
return Image.fromarray(blur)
except:
showpop("May be you used wrong input")
return image
def Scaling(root, image,spin):
print("Scaling")
try:
data = np.asarray(image)
n = int(spin.get())
sample = {
10:3,
9:2,
8:1,
7:0.9,
6:0.8,
5:0.7,
4:0.6,
3:0.5,
2:0.4,
1:0.3
}
n = sample[n]
blur = cv2.resize(data,None,fx=n, fy=n, interpolation = cv2.INTER_CUBIC)
return Image.fromarray(blur)
except:
return image
def Translation(root, image,spin):
print("Translation")
try:
data = np.asarray(image)
n = int(spin.get())
rows,cols,channels = data.shape
sample = {
10:-100,
9:-50,
8:-30,
7:-10,
6:-5,
5:10,
4:20,
3:40,
2:50,
1:100
}
M = np.float32([[1,0,sample[n]],[0,1,sample[n]]])
dst = cv2.warpAffine(data,M,(cols,rows))
return Image.fromarray(dst)
except:
showpop("Something went wrong")
return image
def Rotation(root, image,spin):
print("Rotation")
try:
data = np.asarray(image)
n = int(spin.get())
rows,cols,channels = data.shape
M = cv2.getRotationMatrix2D(((cols-1)/2.0,(rows-1)/2.0),n*10,1)
dst = cv2.warpAffine(data,M,(cols,rows))
return Image.fromarray(dst)
except:
showpop("Something went wrong")
return image
def AffineTransformation(root, image,spin):
print("Affine Transform")
try:
data = np.asarray(image)
n = int(spin.get())
rows,cols,channels = data.shape
pts1 = np.float32([[50,50],[200,50],[50,200]])
pts2 = np.float32([[10,100],[200,50],[100,250]])
M = cv2.getAffineTransform(pts1,pts2)
dst = cv2.warpAffine(data,M,(cols,rows))
return Image.fromarray(dst)
except:
showpop("Something went wrong")
return image
def Laplacian(root, image,spin):
print("Laplace transform")
try:
data = np.asarray(image)
n = int(spin.get())
if(n%2 == 0):
showpop("Use odd values only for Laplacian")
return image
laplacian = cv2.Laplacian(data,cv2.CV_64F)
return Image.fromarray((laplacian * 255).astype(np.uint8))
except:
showpop("Something went wrong")
return image
def SobelX(root, image,spin):
print("SobelY gradient")
try:
data = np.asarray(image)
n = int(spin.get())
if(n%2 == 0):
showpop("Use odd values only for Laplacian")
return image
sobelx = cv2.Sobel(data,cv2.CV_64F,1,0,ksize=int(n/2))
return Image.fromarray((sobelx * 255).astype(np.uint8))
except:
showpop("Something went wrong")
return image
def SobelY(root, image,spin):
print("SobelX gradient")
try:
data = np.asarray(image)
n = int(spin.get())
if(n%2 == 0):
showpop("Use odd values only for Laplacian")
return image
sobelx = cv2.Sobel(data,cv2.CV_64F,0,1,ksize=int(n/2))
return Image.fromarray((sobelx * 255).astype(np.uint8))
except:
showpop("Something went wrong")
return image
def Canny(root, image,spin):
try:
print("Canny edge detection")
data = np.asarray(image)
edges = cv2.Canny(data,100,200)
return Image.fromarray(edges)
except:
showpop("Something went wrong")
return image
def ImageBlending(root, image,spin):
try:
n = int(spin.get())
alpha = n/10.0
A = np.asarray(image)
B = np.asarray(OpenImage(root, image,spin))
B = cv2.resize(B, (A.shape[1], A.shape[0]), interpolation = cv2.INTER_AREA)
beta = (1.0 - alpha)
dst = np.uint8(alpha*(A)+beta*(B))
return Image.fromarray(dst)
except:
return image
def showpop(string):
top = Tk()
top.title("Error")
l = Label(top, text=string)
l.pack()
top.mainloop()
return
mapping = {
"OpenImage":OpenImage,
"Save":Save,
"Exit":Exit,
"Averaging":Averaging,
"GaussianBlurring":GaussianBlurring,
"MedianBlurring":MedianBlurring,
"BilateralFiltering":BilateralFiltering,
"Convolution2D":Convolution2D,
"RGB2GRAY":RGB2GRAY,
"RGB2HSV":RGB2HSV,
"RGB2HLS":RGB2HLS,
"Scaling":Scaling,
"Translation":Translation,
"Rotation":Rotation,
"AffineTransformation":AffineTransformation,
"Laplacian":Laplacian,
"SobelX":SobelX,
"SobelY":SobelY,
"Canny":Canny,
"ImageBlending":ImageBlending,
}