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+# Affine Transformation
+This python script will allow us to change perspective of an image using Affine transformation.
+
+## Setup Instructions
+### Install python3
+sudo apt-get install python3
+### Install pip (package installer for python)
+sudo apt-get install python3-pip
+### Install Numpy library with pip
+pip3 install numpy
+### Install OpenCV library with pip
+pip3 install opencv-python
+### Install tkinter library
+sudo apt-get install python3-tk
+
+## Details/Output
+User selects an input image and the script changes its perspective using Affine transformation.  
+In Affine transformation, parallel lines still stay parallel after transformation.
+(**Note** The positions of any 3 points (should not be collinear) on the original image and the positions where they would be present after the transformation should be specified in the code.
+
+## Author
+Github: invigorzz313
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diff --git a/Affine transformation/Sample.png b/Affine transformation/Sample.png
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diff --git a/Affine transformation/afffine_transformation.py b/Affine transformation/afffine_transformation.py
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+import cv2
+import numpy as np
+import tkinter as tk
+from tkinter.filedialog import *
+
+photo = askopenfilename() # reading the input image
+img = cv2.imread(photo)
+rows, columns, ch = img.shape
+window = tk.Tk() 
+window.title("Perspective transform")
+window.geometry('350x200')
+
+
+# pts1 is an array storing coordinates of 3 points on the original image
+pts1 = np.float32([[50,50],[200,50],[50,200]])
+# pts2 is an array storing coordinates of 3 positions where the above points should be after the transformation
+pts2 = np.float32([[10,100],[200,50],[100,250]])
+
+Mat = cv2.getAffineTransform(pts1,pts2)
+dst = cv2.warpAffine(img, Mat, (500,500))
+
+label = tk.Label(window, text="Points chosen on original image: " + str(pts1)).grid(row=0, column=1)
+label = tk.Label(window, text="Points on transformed image: " + str(pts2)).grid(row=1, column=1)
+label = tk.Label(window, text="The coordinates can be changed in the code ").grid(row=2, column=1)
+# displaying the images
+cv2.imshow("Original Image", img)
+cv2.imshow("Transformed Image", dst)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+window.mainloop()