tmp

app.py

@@ -152,7 +152,7 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50, sf_ids='
     # # Now we can save it to a numpy array.
     # data = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)
     # data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
-    return fig1, fig2
+    return fig1, fig2, ','.join(map(str, sf_idx_))
 
 
 # GRADIO APP