Perfomed deep copy of image and drawing on copy of image instead of original image

app.py

@@ -56,6 +56,7 @@ def findThreshold(model_name, distance_metric):
 threshold = findThreshold(model_name , "cosine")
 
 def predict_image(image):
+    original_image = np.copy(image)
     if debug: 
       print("1")
     # getting face embeddings from database
@@ -92,19 +93,20 @@ def predict_image(image):
 
         identities.append({"name":name , "facial_area":target_embedding_obj["facial_area"]})  
 
+    output_img = np.copy(original_image)
     for identity in identities:    
         # Draw the rectangle on the image
         x = identity["facial_area"]["x"]
         y = identity["facial_area"]["y"]
         w = identity["facial_area"]["w"]
         h = identity["facial_area"]["h"]
-        cv2.rectangle(image, (x,y), (x+w,y+h), (0, 0, 255), 2)
+        cv2.rectangle(output_img, (x,y), (x+w,y+h), (0, 0, 255), 2)
 
         # Define the text position
         text_position = (x, y+h+30)
 
         # Add the text to the image
-        cv2.putText(image, identity["name"], text_position, cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255,0 ), 2)
+        cv2.putText(output_img identity["name"], text_position, cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255,0 ), 2)
     return image