powerexploit · powerexploit · Sep 29, 2020 · Sep 11, 2020 · Sep 11, 2020 · Sep 20, 2020
diff --git a/Image-Processing/ImageCropper/Data/CropDEMO.gif b/Image-Processing/ImageCropper/Data/CropDEMO.gif
diff --git a/Image-Processing/ImageCropper/Data/Man_United.jpeg b/Image-Processing/ImageCropper/Data/Man_United.jpeg
diff --git a/Image-Processing/ImageCropper/Data/cropped image1.png b/Image-Processing/ImageCropper/Data/cropped image1.png
diff --git a/Image-Processing/ImageCropper/README.md b/Image-Processing/ImageCropper/README.md
@@ -0,0 +1,18 @@
+# Image Cropper  
+This code allows you to crop images and save them.  
+
+### 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.  
+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/Awesome-Python-Scripts/blob/PranjalMishra/Image-Processing/ImageCropper/Data/CropDEMO.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/)  
diff --git a/Image-Processing/ImageCropper/crop.py b/Image-Processing/ImageCropper/crop.py
@@ -0,0 +1,59 @@
+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 cliked
+        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)
+
+    # Select a region , then press c to crop that portion
+
+    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)
+                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('q'): # Exit the loop
+        print("Exiting ...")
+        break
+
+cv2.destroyAllWindows()