Do not use marker image in postprocess classification by default

Author: jommarin

deepliif/models/__init__.py

@@ -546,7 +546,7 @@ def inference(img, tile_size, overlap_size, model_path, use_torchserve=False,
         return results # return result images with default key names (i.e., net names)
 
 
-def postprocess(orig, images, tile_size, model, seg_thresh=150, size_thresh='auto', marker_thresh='auto', size_thresh_upper=None):
+def postprocess(orig, images, tile_size, model, seg_thresh=150, size_thresh='auto', marker_thresh=None, size_thresh_upper=None):
     if model == 'DeepLIIF':
         resolution = '40x' if tile_size > 384 else ('20x' if tile_size > 192 else '10x')
         overlay, refined, scoring = compute_results(np.array(orig), np.array(images['Seg']),