resolution limit to 800

app.py

@@ -45,6 +45,9 @@ Check out our [GitHub repo](https://github.com/Jingkang50/OpenPSG) and [official
     <img id="visualzation" src="https://github.com/Jingkang50/OpenPSG/blob/main/assets/psgtr_long.gif?raw=true" alt="visualzation" style="width:100%">
   </div>
 </div>
+
+Inference takes 10-30 seconds per image. The model is PSGTR (60 epochs).
+
 '''
 FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=c-liangyu.openpsg" alt="visitor badge" />'
 
@@ -64,7 +67,7 @@ def parse_args() -> argparse.Namespace:
 def update_input_image(image: np.ndarray) -> dict:
     if image is None:
         return gr.Image.update(value=None)
-    scale = 1500 / max(image.shape[:2])
+    scale = 800 / max(image.shape[:2])
     if scale < 1:
         image = cv2.resize(image, None, fx=scale, fy=scale)
     return gr.Image.update(value=image)
@@ -114,7 +117,7 @@ def main():
                     run_button = gr.Button(value='Run')
             with gr.Column():
                 with gr.Row():
-                    result = gr.Gallery(label='Result', type='numpy')
+                    result = gr.Gallery(label='PSGTR Result', type='numpy')
 
         with gr.Row():
             paths = sorted(pathlib.Path('images').rglob('*.jpg'))