deploy mast3r sfm

app.py

@@ -25,7 +25,7 @@ torch.backends.cuda.matmul.allow_tf32 = True  # for gpu >= Ampere and pytorch >=
 
 if __name__ == '__main__':
     parser = get_args_parser()
-    args = parser.parse_args()
+    args = parser.parse_args(['--model_name', 'MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric'])
     set_print_with_timestamp()
 
     if args.server_name is not None: