updae app

app.py

@@ -28,7 +28,7 @@ r = requests.get(url2, allow_redirects=True)
 open("city2.jpg", 'wb').write(r.content)
 '''
 
-model_name='./configs/COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yaml'
+model_name='./configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x_4gpu_transfiner.yaml'
 
 # model = model_zoo.get(model_name, trained=True)
 
@@ -56,10 +56,9 @@ def inference(image):
 
 
 
-title = "Detectron2-MaskRCNN X101"
-description = "demo for Detectron2. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below.\
-    </br><b>Model: COCO-InstanceSegmentation/mask_rcnn_X_101_32x8d_FPN_3x.yaml</b>"
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2012.07177'>Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation</a> | <a href='https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md'>Detectron model ZOO</a></p>"
+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. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2012.07177'>Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022</a> | <a href='https://github.com/SysCV/transfiner'>Mask Transfiner Github</a></p>"
 
 gr.Interface(
     inference, 
@@ -69,6 +68,8 @@ gr.Interface(
     description=description,
     article=article,
     examples=[
+            ["demo/sample_imgs/000000132408.jpg"],
+            ["demo/sample_imgs/000000018737.jpg"],
             ["demo/sample_imgs/000000224200.jpg"],
             ["demo/sample_imgs/000000344909.jpg"]
         ]).launch()