Wrap prespective openCv

Image-Processing/Wrap_prespective/README.md

@@ -0,0 +1,20 @@
+# Image Processing
+
+Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'. 
+Don't be confused - we are going to talk about both of these terms and how they connect. 
+Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing,
+the output is also an image, whereas in computer vision the output can be some features/information about the image.
+
+## OpenCV
+
+![](https://logodix.com/logo/1989939.png)
+
+## Installation
+
+### Windows
+
+ $ pip install opencv-python
+### MacOS
+   $ brew install opencv3 --with-contrib --with-python3
+### Linux
+   $ sudo apt-get install libopencv-dev python-opencv

Image-Processing/Wrap_prespective/Wrap.py

@@ -0,0 +1,15 @@
+import cv2
+import numpy as np
+img = cv2.imread('cards.jpg')
+width, height = 250 , 350
+pts1 = np.float32([[111 , 219 ],[ 287 ,188 ],[ 154 , 482 ],[ 352 ,440 ]])
+pts2 = np.float32([[ 0, 0],[ width , 0 ],[ 0 , height ],[ width , height ]])
+matrix = cv2.getPerspectiveTransform( pts1 , pts2 )
+imgOutput = cv2.warpPerspective(img,matrix,( width , height ))
+
+for x in range ( 0, 4 ):
+    cv2.circle(img,(pts1[x][0],pts1[x][1]) , 15 ,( 0 , 255 , 0 ),cv2.FILLED)
+
+cv2.imshow("Original Image ", img)
+cv2.imshow("Output Image ", imgOutput)
+cv2.waitKey(0)