Update

app.py

@@ -269,10 +269,10 @@ def create_gradio_app(particulate_app):
             <a href="https://ruiningli.com/particulate">🚀 Project Page</a>
             </p>
             <div style="font-size: 16px; line-height: 1.5;">
-            <p>Upload a 3D model (.obj or .glb format supported) to articulate it. Particulate takes this model and predicts the underlying articulated structure, which can be directly exported to <b>URDF</b> or <b>MJCF</b> format.</p>
+            <p>Upload a 3D model (.obj or .glb format supported) to articulate it. Particulate takes this model and predicts the underlying articulated structure, which can be directly exported to <u>URDF</u> or <u>MJCF</u> format.</p>
             <h3>Getting Started:</h3>
             <ol>
-                <li><strong>Upload a 3D model.</li>
+                <li><strong>Upload a 3D model. We support meshes (.obj or .glb format) with less than 51.2k faces. You can use <a href="https://3d.hunyuan.tencent.com/" target="_blank">Hunyuan3D-v3</a> to generate a 3D model: please <u>make sure to select the '50k' face count</u>.</li>
                 <li><strong>Preview:</strong> Your uploaded 3D model will be visualized below.</li>
                 <li><strong>Confirm Orientation:</strong> Select the direction (one of X, -X, Y, -Y, Z, -Z) that corresponds to the up direction of the object in the preview (for all example assets, the up direction is -Z).</li>
                 <li><strong>Run Inference:</strong> Click the "Run Inference" button to start the inference process.</li>

infer_asset.py

@@ -1,5 +1,4 @@
 import numpy as np
-import os
 from pathlib import Path
 import torch
 import trimesh
@@ -13,11 +12,7 @@ from particulate.visualization_utils import (
     ARROW_COLOR_PRISMATIC
 )
 from particulate.articulation_utils import plucker_to_axis_point
-from particulate.export_utils import (
-    export_animated_glb_file,
-    export_urdf,
-    export_mjcf
-)
+from particulate.export_utils import export_animated_glb_file
 from partfield_utils import obtain_partfield_feats, get_partfield_model