temp

app.py

@@ -115,14 +115,19 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
     fin_img.append(img2rsz)
     
 
-    fig = plt.figure(figsize=(12,25))
+    fig = plt.figure()
     grid = ImageGrid(fig, 111, nrows_ncols=(2, 1),  axes_pad=0.1)
     for ax, img in zip(grid, fin_img):
         ax.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
         ax.axis('scaled')
         ax.axis('off')
     plt.tight_layout()
-    fig.suptitle("Matching SFs", fontsize=16)
+    # fig.suptitle("Matching SFs", fontsize=16)
+
+    fig.canvas.draw()
+    # 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 fig