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#Splitting image into Blue, Green, Red channels
#Method 1
b,g,r = cv2.split(img)

#Method 2
b = img[:,:,0]
g = img[:,:,1]
r = img[:,:,2]

vis2 = np.concatenate((b, g, r), axis=1) 

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#Image ROI
img_roi = img.copy()
ball = img_roi[310:370, 350:405]
img_roi[120:180, 120:175] = ball

vis1 = np.concatenate((img, img_roi), axis=1) 
cv2.imshow('Original Image vs Image with copied ROI', vis1) 
cv2.waitKey(0)         
cv2.destroyAllWindows() 

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#Accessing Image Properties
print("Shape of the Image: ", img.shape)
print("Total number of pixels in images: ", img.size)
print("Datatype of the images: ", img.dtype)

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#Acessing Red value in coordinates (50, 50)
print("Pixel value of Red in (50,50) coordinate: ", img_mod1.item(50,50,2))

# modifying Red value in coordinates (50, 50)
img_mod1.itemset((50,50,2), 225)
print("Pixel value of Red in (50,50) coordinate after modification: ", img_mod1.item(50,50,2))

cv2.imshow('Billiards Modified', img_mod1)
cv2.waitKey(0)         
cv2.destroyAllWindows() 

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#Modifying pixel values
img_mod1 = img.copy()
img_mod1[100,100] = [255,255,255]
print("Pixel value in (100,100) coordinate after modification: ", img_mod1[100,100] )

cv2.imshow('Billiards Modified', img_mod1)
cv2.waitKey(0)         
cv2.destroyAllWindows()  

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#Accessing BGR value of pixel in coordinates 100,100
pixel = img[100,100]
print("Pixel value in (100,100) coordinate: ", pixel)

#Accessing blue, Red, Green pixel individually
blue = img[100,100,0]
green = img[100,100,1]
red = img[100,100,2]

print("Pixel value of Blue in (100,100) coordinate: ", blue)

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import numpy as np
import cv2

img = cv2.imread('C:\\Users\\Admin\\Downloads\\operations on images\\Billiards.jpg')

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import gensim
from gensim.summarization import summarize

summary = summarize(text)
print(summary)

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doc_lda_test = lda_model[test_corpus]
print("Topic Distribution in the test article: ", doc_lda_test[0])

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test_article = "wipro beats forecasts once again wipro india s thirdbiggest software firm has reported a 60 percent  rise in profit topping market expectations net income in the last quarter was 43bn rupees  dollar 98m  52m against 27bn a year earlier profit had been forecast to be 41bn rupees wipro offers services such as call centres to foreign clients and has worked for more than half of the companies on the fortune 500 list wipro said demand was strong allowing it to increase the prices it charged on the face of it the results don t look very exciting said apurva shah an analyst at askraymond james but the guidance is positive and pricing going up is good news thirdquarter sales rose 34 percent  to 209bn rupees one problem identified by wipro was the high turnover of its staff it said that 90 percent  of employees at its business process outsourcing operations had had to be replaced we have to get that under control said vicechairman vivek paul wipro is majority owned by india s richest man azim premji"