enlarge dim

app.py

@@ -101,7 +101,7 @@ def interpret_rgb_class(decoded_img):
     ambiguous_rgb = np.array([150, 5, 61])
     matches = np.all(np.abs(decoded_img - ambiguous_rgb) <= TOL, axis=-1)
     match_ratio = np.count_nonzero(matches) / matches.size
-    return "garbage" if match_ratio > 0.3 else "sand"
+    return "garbage" if match_ratio > 0.15 else "sand"
 
 # Masking zones (Garbage and Water zone to be travelable)
 def build_masks(seg):