Added a script that scans both qr and barcodes, and added a readme file as well

Author: CodeReaper-10

scripts/QR and Barcode Scanner/README.md

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+## How to run
+1. Clone the repository
+   ```
+   git clone [email protected]:GDSC-RCCIIT/General-Purpose-Scripts.git
+   ```
+2. Install the script requirements
+   ```
+   pip install pyzbar
+   pip install numpy
+   pip install opencv-python
+   ```
+3. Navigate to `QR and Barcode Scanner` directory
+   ```
+   cd General-Purpose-Scripts/scripts/QR and Barcode Scanner
+   ```
+4. Replace "frame.png" with the image path of the QR/Barcode or, with the name of the png file if it is in the same directory as the script.
+   ### Note
+   The png file can also be placed in the same directory as the script and renamed to "frame.png" to avoid making changes to the code.
+5. Run the script to scan the QR/Barcode
+   ```
+   python scanner.py
+   ```
+   

scripts/QR and Barcode Scanner/scanner.py

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+from __future__ import print_function
+import pyzbar.pyzbar as pyzbar
+import numpy as np
+import cv2
+
+# Image Path Or Image Name if in Same Directory or Replace the png file with your image
+
+img_path = "frame.png"
+
+
+def decode(im):
+    # Find barcodes and QR codes
+    decodedObjects = pyzbar.decode(im)
+
+    # Print results
+    for obj in decodedObjects:
+        print("Type : ", obj.type)
+        s = str(obj.data)
+        s = s.replace(s[0], "")
+        s = s.replace("'", "")
+        print("Data : ", s, "\n")
+
+    return decodedObjects
+
+
+# Display barcode and QR code location
+def display(im, decodedObjects):
+
+    # Loop over all decoded objects
+    for decodedObject in decodedObjects:
+        points = decodedObject.polygon
+
+        # If the points do not form a quad, find convex hull
+        if len(points) > 4:
+            hull = cv2.convexHull(
+                np.array([point for point in points], dtype=np.float32)
+            )
+            hull = list(map(tuple, np.squeeze(hull)))
+        else:
+            hull = points
+
+        # Number of points in the convex hull
+        n = len(hull)
+
+        # Draw the convext hull
+        for j in range(0, n):
+            cv2.line(im, hull[j], hull[(j + 1) % n], (255, 0, 0), 3)
+
+    # Display results
+    cv2.imshow("Results", im)
+    cv2.waitKey(0)
+    print("Done")
+
+
+# Main
+if __name__ == "__main__":
+
+    # Read image
+    im = cv2.imread(img_path)
+
+    decodedObjects = decode(im)
+
+    display(im, decodedObjects)