Replace bpy with trimesh for GLB export (Python 3.10 compatible)

README.md

@@ -9,7 +9,7 @@ python_version: "3.11"
 app_file: app.py
 pinned: false
 license: other
-hardware: a10g-small
+hardware: zero-a10g
 tags:
   - mcp-server-track
   - building-mcp-track-consumer

app.py

@@ -89,53 +89,34 @@ def reconstruct_body(image: np.ndarray) -> tuple:
 
     try:
         import torch
-        import bpy
+        import trimesh
         estimator, faces = load_model()
-        
+
         # Process image
         if isinstance(image, Image.Image):
             image = np.array(image)
-        
+
         # BGR for OpenCV
         import cv2
         img_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-        
+
         outputs = estimator.process_one_image(img_bgr, bbox_thr=0.5)
-        
+
         if not outputs:
             return None, "⚠️ No humans detected"
-        
-        # Export first person as GLB via Blender
+
+        # Export first person as GLB via trimesh
         person = outputs[0]
         vertices = person["pred_vertices"]
-        
-        # Reset Blender scene
-        bpy.ops.wm.read_factory_settings(use_empty=True)
-        
-        # Create mesh
-        mesh = bpy.data.meshes.new("body_mesh")
-        mesh.from_pydata(vertices.tolist(), [], faces.tolist())
-        mesh.update()
-        
-        # Create object
-        obj = bpy.data.objects.new("body", mesh)
-        bpy.context.collection.objects.link(obj)
-        bpy.context.view_layer.objects.active = obj
-        obj.select_set(True)
-        
-        # Smooth shading
-        for poly in mesh.polygons:
-            poly.use_smooth = True
-        
+
+        # Create trimesh mesh
+        mesh = trimesh.Trimesh(vertices=vertices, faces=faces)
+
         # Save GLB
         output_dir = tempfile.mkdtemp()
         glb_path = f"{output_dir}/body_{uuid.uuid4().hex[:8]}.glb"
-        bpy.ops.export_scene.gltf(
-            filepath=glb_path,
-            export_format='GLB',
-            use_selection=True
-        )
-        
+        mesh.export(glb_path, file_type='glb')
+
         return glb_path, f"✓ Reconstructed {len(outputs)} person(s)"
         
     except Exception as e:

requirements.txt

@@ -3,7 +3,7 @@ torchvision>=0.17.0
 gradio>=6.0.2
 huggingface_hub>=0.26.0
 spaces>=0.30.0
-bpy>=5.0.0
+trimesh>=4.0.0
 numpy>=1.26.0
 opencv-python>=4.8.0
 Pillow>=10.0.0