Cropping Images Dynamically (#10)

* Added Image cropping * Update README.md * Added Shape Contouring * Re-organised Directories

Author: Pranjalmishra30

Image operations/Cropping_Images/Data/Man_United.jpeg

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+# Image Cropper 
+This code allows you to crop images dynamically and save them. Mouse Events in OpenCV will be used to achieve this. 
+
+### Executing the code 
+1. Run the .py file by running the command ``` python3 crop.py``` in the terminal or cmd. 
+2. Use the **Left** mouse button to drag out a rectangular region of the image you want to crop. **Release** the button, once you are done. 
+3. The selected rectangular is shown on the image. You can press **r** to reset your selection. 
+4. Press **c** to crop the image. A new window opens up. 
+ a) Press **s** to save the cropped image. 
+ b) Press **r** to reset and return to the original image. 
+5. Repeat from step 2 to crop more images. 
+
+### Demo 
+![](https://github.com/Pranjalmishra30/OpenCV-Rep/blob/master/Mini-Projects/Cropping_Images/Data/crop-DEMO.gif) 
+
+### Refrences 
+1. Mouse events [tutorial](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_mouse_handling/py_mouse_handling.html) 
+2. Pyimagesearch [tutorial](https://www.pyimagesearch.com/2015/03/09/capturing-mouse-click-events-with-python-and-opencv/) 

Image operations/Cropping_Images/Data/crop-DEMO.gif

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+import cv2
+refpt = [] #List of refrence points
+
+def select_roi (event,x,y,flags,param):
+ global refpt #Global refrences
+
+ if event == cv2.EVENT_LBUTTONDOWN: # When the left mouse button is clicked
+ refpt = [(x,y)]
+
+ elif event == cv2.EVENT_LBUTTONUP: # When the left mouse button is released
+ refpt.append((x,y)) # recording the last coordinates
+ cv2.rectangle(img_main,refpt[0],refpt[1],(0,255,0),2)
+ cv2.imshow("frame",img_main)
+ print("Selection Successful") 
+
+img = cv2.imread("Data/Man_United.jpeg")
+img_main = cv2.resize(img,(400,400)) #Resizing image
+
+clone = img_main.copy() # To reset the image after cropping
+clone2 = img_main.copy() # To crop a section out without affecting the original image
+
+cv2.namedWindow("frame")
+cv2.setMouseCallback("frame",select_roi)
+
+i=1 # Numbering for saving images
+
+while True:
+ cv2.imshow("frame",img_main)
+ var = cv2.waitKey(0)
+
+ '''
+ Instructions
+ - Select a region , then press c to crop that portion.
+ - Press r to reset your selection.
+ - In the Crop mode , press s to save your cropped image or press r to reset selection
+ - Press q to exit the program.
+ '''
+
+ if var == ord('c'): # Crop selected images
+ 
+ if len(refpt)==2:
+ roi = clone2[refpt[0][1]:refpt[1][1], refpt[0][0]:refpt[1][0]] # [x1:x2 , y1:y2]
+ cv2.namedWindow("Crop")
+ cv2.imshow("Crop",roi)
+ print("Cropped")
+
+ var2 = cv2.waitKey(0)
+
+ if var2 == ord('s'): # Saving cropped image
+ cv2.imwrite("Data/cropped image{}.png".format(i),roi) # Name of the saved image 
+ i=i+1
+ print("image saved\n")
+ cv2.destroyWindow("Crop") 
+ img_main = clone.copy()
+ 
+ elif var2 == ord('r'): # Reset
+ cv2.destroyWindow("Crop")
+ print("Reset\n")
+ img_main = clone.copy()
+ 
+ elif var == ord('r'): # Reset
+ print("Reset\n")
+ img_main = clone.copy()
+ 
+ elif var == ord('q'): # Exit the loop
+ print("Exiting ...")
+ break
+
+cv2.destroyAllWindows()