Update app.py

app.py

@@ -5,6 +5,14 @@ from PIL import Image
 
 
 def convolve(img, kernel):
+
+    out_img = cv2.filter2D(src=img, ddepth =-1, kernel=kernel)
+    out_img = cv2.cvtColor(out_img, cv2.COLOR_BGR2RGB)
+    out_img = cv2.resize(out_img, (226,226))
+    return Image.fromarray(out_img)
+
+
+def app(img, filter):
     sobel_verticle = np.array([[-1,0,1],
                                [-1,0,1],
                                [-1,0,1]])
@@ -25,14 +33,27 @@ def convolve(img, kernel):
     weighted_average = np.array([[1/16,2/16, 1/16],
                                  [2/16,4/16, 2/16],
                                  [1/16,2/16, 1/16]])
+    sobel_verticle = np.array([[-1,0,1],
+                               [-1,0,1],
+                               [-1,0,1]])
+                            
+    sobel_horizontal = np.array([[-1,-1,11],
+                                 [ 0, 0, 0],
+                                 [ 1, 1, 1]])
 
-    out_img = cv2.filter2D(src=img, ddepth =-1, kernel=kernel)
-    out_img = cv2.cvtColor(out_img, cv2.COLOR_BGR2RGB)
-    out_img = cv2.resize(out_img, (226,226))
-    return Image.fromarray(out_img)
+    laplacian = np.array([[ 0,-1, 0],
+                          [-1, 5,-1],
+                          [ 0,-1, 0]])
 
+    average = np.array([[1/9,1/9, 1/9],
+                          [1/9,1/9, 1/9],
+                          [1/9,1/9, 1/9]])
+
+
+    weighted_average = np.array([[1/16,2/16, 1/16],
+                                 [2/16,4/16, 2/16],
+                                 [1/16,2/16, 1/16]])
 
-def app(img, filter):
     if filter =="sobel_verticle":
         return convolve(img, sobel_verticle)
     elif filter =="sobel_horizontal":