Merge pull request #132 from anisha282000/Invisible_cloak

Invisible Cloak

Author: powerexploit

Image-Processing/Invisible_cloak/README.md

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+# Invisible Cloak
+This is a python script about the cloak of invisibility which was used by harry to become invisible.
+
+## How it works
+* It captures and store the background.
+* Detect the defined color using color detection.
+* Segment out the red colored cloth by generating a mask. 
+* Generate the final augmented output to create a magical effect.
+
+## Installation
+* Use the package manager [pip](https://pip.pypa.io/en/stable/) to install Opencv.
+
+```bash
+pip install opencv-python
+``` 
+* Install Numpy
+
+```bash
+pip install numpy
+```

Image-Processing/Invisible_cloak/cloak.py

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+import numpy as np
+import cv2
+import time
+
+print("""
+BE PREPARE YOU WILL BE INVISIBLE SOON............
+""")
+
+if __name__ == '__main__':
+    cap = cv2.VideoCapture(0)
+    
+#For capturing output video
+    fourcc = cv2.VideoWriter_fourcc(*'XVID')
+    out = cv2.VideoWriter('harry.avi' , fourcc, 20.0, (640,480))
+    time.sleep(2)
+    background = 0
+
+#capturing background
+for i in range(30):
+    ret, background = cap.read()
+
+    #capturing image
+while(cap.isOpened()):
+    ret, img = cap.read()
+    
+    if not ret:
+        break
+#HSV stands for Hue Satrurated Value
+    hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+#YOU CAN CHANGE THE COLOR VALUE BELOW ACCORDING TO YOUR CLOTH COLOR
+    lower_red = np.array([0,120,70])
+    upper_red = np.array([10,255,255])
+    mask1 = cv2.inRange(hsv , lower_red , upper_red)
+    
+    lower_red = np.array([170,120,70])
+    upper_red = np.array([180,255,255])
+    mask2 = cv2.inRange(hsv , lower_red , upper_red)
+    
+    mask1 = mask1 + mask2
+
+#Open and clean the mask image
+    mask1=cv2.morphologyEx(mask1, cv2.MORPH_OPEN ,np.ones((3,3) , np.uint8) , iterations=2)
+        
+    mask2=cv2.morphologyEx(mask1, cv2.MORPH_DILATE ,np.ones((3,3) , np.uint8) , iterations=1)
+        
+    mask2 = cv2.bitwise_not(mask1)
+
+#Generating the final output
+    res1 = cv2.bitwise_and(background, background, mask=mask1)
+    res2 = cv2.bitwise_and(img, img, mask=mask2)
+    
+    final_output = cv2.addWeighted(res1 , 1, res2 , 1, 0)
+    
+    cv2.imshow('Invisibility Game' , final_output)
+    k=cv2.waitKey(10)
+    if k==27:
+        print("Escape hit, closing...")
+        break
+        
+cap.release()
+out.release()
+cv2.destroyAllWindows()