update app.py

app.py

@@ -34,10 +34,10 @@ model_name='./configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yam
 
 cfg = get_cfg()
 # add project-specific config (e.g., TensorMask) here if you're not running a model in detectron2's core library
-cfg.merge_from_file(model_zoo.get_config_file(model_name))
+cfg.merge_from_file(model_name)
 cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5  # set threshold for this model
 # Find a model from detectron2's model zoo. You can use the https://dl.fbaipublicfiles... url as w ell
-cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url(model_name)
+cfg.MODEL.WEIGHTS = './output_3x_transfiner_r50.pth'
 
 if not torch.cuda.is_available():
     cfg.MODEL.DEVICE='cpu'