Shape Contouring (#11)

* Added Image cropping

* Update README.md

* Added Shape Contouring

* Delete crop.py

* Delete README.md

* Delete Man_United.jpeg

* Delete crop-DEMO.gif

* Delete cropped image1.png

Author: Pranjalmishra30

Image operations/Contouring/Data/Shape_Detected.png

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+# Shape Contouring  
+
+Contouring is like drawing an outline along the boundary of an object. In OpenCV this will be achieved with 2 processes:  
+**Thresholding** and **Contouring**.  
+
+* Thresholding allows us to filter the object  
+* Contouring lets us outline/mark the boundary of the object  
+
+## Result  
+**Original** ![](https://github.com/Pranjalmishra30/rep.1/blob/master/Contouring/Data/Shapes.png) **Contoured** ![](https://github.com/Pranjalmishra30/openCV-Rep/blob/master/Mini-Projects/ShapeContouring/Shape_Detected.png)  
+
+## Refrences  
+1. [Thresholding](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_thresholding/py_thresholding.html)  
+2. [Contours](https://docs.opencv.org/trunk/d4/d73/tutorial_py_contours_begin.html)  

Image operations/Contouring/Data/Shapes.png

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+import cv2
+
+img  = cv2.imread('Data/Shapes.png')
+gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+blur = cv2.GaussianBlur(gray,(11,11),0) #The values need to be >1 and odd
+
+ret, th = cv2.threshold(blur,220,255,cv2.THRESH_BINARY_INV) # Inverse Binary thresholding technique
+
+(cnts,_) = cv2.findContours(th.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
+cv2.drawContours(img,cnts,-1,(0,0,0),2)
+
+cv2.imshow('image',img)
+cv2.imwrite("Data/Shape_Detected.png",img) # Save the contoured image
+cv2.waitKey(0)
+cv2.destroyAllWindows()