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Merge pull request avinashkranjan#1125 from A-kriti/f1

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	`1`	`+import numpy as np`
	`2`	`+import cv2`
	`3`	`+import os.path`
	`4`	`+from matplotlib import pyplot as plt`
	`5`	`+`
	`6`	`+img_path = input("Enter the path of image: ") #example -> C:\Users\xyz\OneDrive\Desktop\project\image.jpg`
	`7`	`+img = cv2.imread(img_path)`
	`8`	`+image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)`
	`9`	`+`
	`10`	`+img_small = cv2.pyrDown(image)`
	`11`	`+num_iter = 5`
	`12`	`+for _ in range(num_iter):`
	`13`	`+ img_small= cv2.bilateralFilter(img_small, d=9, sigmaColor=9, sigmaSpace=7)`
	`14`	`+`
	`15`	`+img_rgb = cv2.pyrUp(img_small)`
	`16`	`+`
	`17`	`+img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2GRAY)`
	`18`	`+img_blur = cv2.medianBlur(img_gray, 7)`
	`19`	`+img_edge = cv2.adaptiveThreshold(img_blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 7, 2)`
	`20`	`+`
	`21`	`+img_edge = cv2.cvtColor(img_edge, cv2.COLOR_GRAY2RGB)`
	`22`	`+array = cv2.bitwise_and(image, img_edge)`
	`23`	`+array1 = cv2.bitwise_xor(array, image)`
	`24`	`+plt.figure(figsize= (10,10))`
	`25`	`+plt.imshow(array1,cmap='gray')`
	`26`	`+plt.title("Neon Effect Filtered Photo")`
	`27`	`+plt.axis('off')`
	`28`	`+filename = os.path.basename(image_path)`
	`29`	`+plt.savefig("./Neon Effect Filter/Neon Effect Filter"+filename) #saved file name as (Filtered)image_name.jpg`
	`30`	`+`
	`31`	`+plt.show()`

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	`1`	`+`
	`2`	`+# Neon Effect Filter`
	`3`	`+`
	`4`	`+Converting an image into an neon effect filtered image using some of the python libraries.`
	`5`	`+`
	`6`	`+## Libraries used`
	`7`	`+Firstly import the following python libraries`
	`8`	`+* OpenCv`
	`9`	`+* Os`
	`10`	`+* Matplotlib`
	`11`	`+* Numpy`
	`12`	`+`
	`13`	`+Taking path of the image/Real image as input using os and finally reading it using cv2`
	`14`	`+`
	`15`	`+## Detailed explanation of the method used`
	`16`	`+`
	`17`	`+* Imported the required libraries ( Numpy, Matplotlib, OpenCv, Os)`
	`18`	`+* Read the input path of the image using Cv2 library`
	`19`	`+* Used Bilateral Filter`
	`20`	`+* Followed by Median Blur`
	`21`	`+* Followed by Adaptive Threshold`
	`22`	`+* Followed by Bitwise "and" between original image and edge image`
	`23`	`+* And at last used Bitwise "xor" between orginal and output of the above "bitwise and image"`
	`24`	`+* Finally converted the image into "Neon Effect Filtered" image`
	`25`	`+`
	`26`	`+## Original Image`
	`27`	`+<img src="Image/image_.jpg" height="500px">`
	`28`	`+`
	`29`	`+## Neon Effect Filtered Image`
	`30`	`+<img src="Image/(Neon Effect Filter)image_.jpg" height="500px">`
	`31`	`+`
	`32`	`+## Author(s)`
	`33`	`+[Akriti](https://github.com/A-kriti)`

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