update app

app.py

@@ -38,10 +38,12 @@ predictor = DefaultPredictor(cfg)
 
 
 def inference(image):
-    img = np.array(image)
+    image = np.asarray(image)
+
+    #img = np.array(image)
     outputs = predictor(img)
 
-    v = Visualizer(img, MetadataCatalog.get(cfg.DATASETS.TRAIN[0]), scale=1.2)
+    v = Visualizer(img, MetadataCatalog.get(cfg.DATASETS.TRAIN[0]))
     out = v.draw_instance_predictions(outputs["instances"].to("cpu"))
     
     return out.get_image()
@@ -49,7 +51,7 @@ def inference(image):
 
 
 title = "Mask Transfiner R50 model"
-description = "Demo for Mask Transfiner based on R50-FPN. To use it, simply upload your image, or click one of the examples to load them. It runs in the cpu environment provided by Hugging Face. Read more at the links below."
+description = "Demo for <a href='https://arxiv.org/abs/2111.13673'>Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022</a> based on R50-FPN. To use it, simply upload your image, or click one of the examples to load them. It runs in the cpu environment provided by Hugging Face. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.13673'>Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022</a> | <a href='https://github.com/SysCV/transfiner'>Mask Transfiner Github</a></p>"
 
 gr.Interface(