Upload app.py

app.py

@@ -96,7 +96,7 @@ def preprocess_image(image: Image.Image, target_size=(448, 448)):
     img_array = np.array(image_resized, dtype=np.float32) / 255.0
     img_array = img_array.transpose(2, 0, 1) # HWC -> CHW
     # Assuming model expects RGB based on original code, no BGR conversion here
-    # img_array = img_array[::-1, :, :] # BGR conversion if needed
+    img_array = img_array[::-1, :, :] # BGR conversion if needed - UNCOMMENTED based on user feedback
     mean = np.array([0.5, 0.5, 0.5], dtype=np.float32).reshape(3, 1, 1)
     std = np.array([0.5, 0.5, 0.5], dtype=np.float32).reshape(3, 1, 1)
     img_array = (img_array - mean) / std