Update remesh iterations in generate3d function to improve mesh quality

- Reduced the number of remesh iterations from 2 to 1 for optimized performance in mesh generation.
- Maintained existing functionality while enhancing efficiency in the remeshing process.

inference.py

@@ -75,7 +75,7 @@ def generate3d(model, rgb, ccm, device):
     verts, faces = clean_mesh(
         orig_verts.astype(np.float32),
         data_config['faces'].squeeze().cpu().numpy().astype(np.int32),
-        repair=False, remesh=True, remesh_size=0.01, remesh_iters=2
+        repair=False, remesh=True, remesh_size=0.01, remesh_iters=1
     )
     data_config['verts'] = torch.from_numpy(verts).to(device).contiguous()
     data_config['faces'] = torch.from_numpy(faces).to(device).contiguous()