diff --git a/Basics/Joining_Multiple_Images_To_Display.py b/Basics/Joining_Multiple_Images_To_Display.py
index 694a1bc..f28040a 100644
--- a/Basics/Joining_Multiple_Images_To_Display.py
+++ b/Basics/Joining_Multiple_Images_To_Display.py
@@ -9,8 +9,9 @@
 cap.set(3, frameWidth)
 cap.set(4, frameHeight)
 
-def stackImages(imgArray,scale,lables=[]):
-    sizeW= imgArray[0][0].shape[1]
+
+def stackImages(imgArray, scale, lables=[]):
+    sizeW = imgArray[0][0].shape[1]
     sizeH = imgArray[0][0].shape[0]
     rows = len(imgArray)
     cols = len(imgArray[0])
@@ -18,13 +19,16 @@ def stackImages(imgArray,scale,lables=[]):
     width = imgArray[0][0].shape[1]
     height = imgArray[0][0].shape[0]
     if rowsAvailable:
-        for x in range ( 0, rows):
+        for x in range(0, rows):
             for y in range(0, cols):
-                imgArray[x][y] = cv2.resize(imgArray[x][y], (sizeW, sizeH), None, scale, scale)
-                if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
+                imgArray[x][y] = cv2.resize(
+                    imgArray[x][y], (sizeW, sizeH), None, scale, scale
+                )
+                if len(imgArray[x][y].shape) == 2:
+                    imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
         imageBlank = np.zeros((height, width, 3), np.uint8)
-        hor = [imageBlank]*rows
-        hor_con = [imageBlank]*rows
+        hor = [imageBlank] * rows
+        hor_con = [imageBlank] * rows
         for x in range(0, rows):
             hor[x] = np.hstack(imgArray[x])
             hor_con[x] = np.concatenate(imgArray[x])
@@ -33,37 +37,57 @@ def stackImages(imgArray,scale,lables=[]):
     else:
         for x in range(0, rows):
             imgArray[x] = cv2.resize(imgArray[x], (sizeW, sizeH), None, scale, scale)
-            if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
-        hor= np.hstack(imgArray)
-        hor_con= np.concatenate(imgArray)
+            if len(imgArray[x].shape) == 2:
+                imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
+        hor = np.hstack(imgArray)
+        hor_con = np.concatenate(imgArray)
         ver = hor
     if len(lables) != 0:
-        eachImgWidth= int(ver.shape[1] / cols)
+        eachImgWidth = int(ver.shape[1] / cols)
         eachImgHeight = int(ver.shape[0] / rows)
         print(eachImgHeight)
         for d in range(0, rows):
-            for c in range (0,cols):
-                cv2.rectangle(ver,(c*eachImgWidth,eachImgHeight*d),(c*eachImgWidth+len(lables[d][c])*13+27,30+eachImgHeight*d),(255,255,255),cv2.FILLED)
-                cv2.putText(ver,lables[d][c],(eachImgWidth*c+10,eachImgHeight*d+20),cv2.FONT_HERSHEY_COMPLEX,0.7,(255,0,255),2)
+            for c in range(0, cols):
+                cv2.rectangle(
+                    ver,
+                    (c * eachImgWidth, eachImgHeight * d),
+                    (
+                        c * eachImgWidth + len(lables[d][c]) * 13 + 27,
+                        30 + eachImgHeight * d,
+                    ),
+                    (255, 255, 255),
+                    cv2.FILLED,
+                )
+                cv2.putText(
+                    ver,
+                    lables[d][c],
+                    (eachImgWidth * c + 10, eachImgHeight * d + 20),
+                    cv2.FONT_HERSHEY_COMPLEX,
+                    0.7,
+                    (255, 0, 255),
+                    2,
+                )
     return ver
 
+
 while True:
     success, img = cap.read()
-    kernel = np.ones((5,5),np.uint8)
+    kernel = np.ones((5, 5), np.uint8)
     print(kernel)
-    #path = "Resources/lena.png"
-    #img =  cv2.imread(path)
-    imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
-    imgBlur = cv2.GaussianBlur(imgGray,(7,7),0)
-    imgCanny = cv2.Canny(imgBlur,100,200)
-    imgDilation = cv2.dilate(imgCanny,kernel , iterations = 2)
-    imgEroded = cv2.erode(imgDilation,kernel,iterations=2)
+    # path = "Resources/lena.png"
+    # img =  cv2.imread(path)
+    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    imgBlur = cv2.GaussianBlur(imgGray, (7, 7), 0)
+    imgCanny = cv2.Canny(imgBlur, 100, 200)
+    imgDilation = cv2.dilate(imgCanny, kernel, iterations=2)
+    imgEroded = cv2.erode(imgDilation, kernel, iterations=2)
 
-    #imgBlank = np.zeros((200,200),np.uint8)
-    StackedImages = stackImages(([img,imgGray,imgBlur],
-                                   [imgCanny,imgDilation,imgEroded]),0.6)
+    # imgBlank = np.zeros((200,200),np.uint8)
+    StackedImages = stackImages(
+        ([img, imgGray, imgBlur], [imgCanny, imgDilation, imgEroded]), 0.6
+    )
     cv2.imshow("Staked Images", StackedImages)
-    if cv2.waitKey(1) & 0xFF == ord('q'):
+    if cv2.waitKey(1) & 0xFF == ord("q"):
         break