Update app.py

app.py

@@ -28,7 +28,7 @@ def predict_2(image):
         
         image = Image.fromarray(image).resize((size,size))
         image = np.array(image)        
-        stride = 4
+        stride = 1
         steps = int(pach_size/stride)
         patches_img = patchify(image, (pach_size, pach_size, 3), step=steps)  #Step=256 for 256 patches means no overlap        
         patches_img = patches_img[:,:,0,:,:,:]
@@ -89,16 +89,16 @@ targets_classes_colors = np.array([[  0,   0,   0],
                           [  2, 135, 115],
                           [255,   0,   0]])
 
-class_weights = {0: 1.0,
- 1: 1.0,
+class_weights = {0: 0.1,
+ 1: 0.1,
  2: 2.171655596616696,
- 3: 1.0,
- 4: 1.0,
+ 3: 0.1,
+ 4: 0.1,
  5: 2.2101197049812593,
  6: 11.601519937899578,
  7: 7.99072122367673,
- 8: 1.0,
- 9: 1.0,
+ 8: 0.1,
+ 9: 0.1,
  10: 2.5426918173402457,
  11: 11.187574445057574,
  12: 241.57620214903147,