Update app.py

app.py

@@ -6,20 +6,21 @@ from PIL import Image, ImageOps
 def filter_img(input_img,filter_type):
     img = cv2.imread(input_img)
 
-    #new_height = 1080
+    new_height = 1080
 
-    #ratio = float(new_height) / img.shape[0]
-    #new_width = int(img.shape[1] * ratio)
+    ratio = float(new_height) / img.shape[0]
+    new_width = int(img.shape[1] * ratio)
     
-    #img = cv2.resize(img, (new_width,new_height))
+    img = cv2.resize(img, (new_width,new_height))
     
     filtered_img = np.zeros_like(img)
     
     if filter_type == 'Vintage':
-        gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        filtered_img[:,:,0] = (gray_img * 0.393) + (gray_img * 0.769) + (gray_img * 0.189)
-        filtered_img[:,:,1] = (gray_img * 0.349) + (gray_img * 0.686) + (gray_img * 0.168)
-        filtered_img[:,:,2] = (gray_img * 0.272) + (gray_img * 0.534) + (gray_img * 0.131)
+        filtered_img = cv2.transform(img, np.matrix([[0.272, 0.534, 0.131],
+                                    [0.349, 0.686, 0.168],
+                                    [0.393, 0.769, 0.189]])
+        filtered_img[np.where(filtered_img > 255)] = 255 # normalizing values greater than 255 to 255
+        filtered_img = np.array(filtered_img, dtype=np.uint8) # converting back to int
     elif filter_type == 'Gray-sharp':
         img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
         filtered_img = cv2.addWeighted(img,4, cv2.blur(img,(128,128)),-4,128)