Update app.py

app.py

@@ -164,19 +164,19 @@ def preprocess_image(image_data):
         image = Image.open(io.BytesIO(image_data)).convert('RGB')
         w, h = image.size  # (width=400, height=296 expected)
 
-        # Define ROI (x1:x2, y1:y2), inclusive indices
-        X1, X2 = 90, 280
-        Y1, Y2 = 5, 205
+        # # Define ROI (x1:x2, y1:y2), inclusive indices
+        # X1, X2 = 90, 280
+        # Y1, Y2 = 5, 205
 
-        # Clamp to actual image bounds
-        X1 = max(0, min(w - 1, X1))
-        X2 = max(0, min(w - 1, X2))
-        Y1 = max(0, min(h - 1, Y1))
-        Y2 = max(0, min(h - 1, Y2))
+        # # Clamp to actual image bounds
+        # X1 = max(0, min(w - 1, X1))
+        # X2 = max(0, min(w - 1, X2))
+        # Y1 = max(0, min(h - 1, Y1))
+        # Y2 = max(0, min(h - 1, Y2))
 
-        # Pillow crop box is (left, upper, right, lower) with right/lower EXCLUSIVE
-        crop_box = (X1, Y1, X2 + 1, Y2 + 1)
-        image = image.crop(crop_box)
+        # # Pillow crop box is (left, upper, right, lower) with right/lower EXCLUSIVE
+        # crop_box = (X1, Y1, X2 + 1, Y2 + 1)
+        # image = image.crop(crop_box)
 
         # Resize to model input size
         image = image.resize((224, 224), Image.BICUBIC)