Update app.py

app.py

@@ -96,7 +96,6 @@ def get_reconstructed_scene(outdir, model, device):
 
     assert c == 3, "Images must have 3 channels"
 
-
     gaussians, pred_context_pose = model.inference((images + 1) * 0.5)
 
     pred_all_extrinsic = pred_context_pose["extrinsic"]
@@ -111,10 +110,8 @@ def get_reconstructed_scene(outdir, model, device):
         outdir,
         model.decoder,
     )
-
     plyfile = os.path.join(outdir, "gaussians.ply")
-    glbfile = os.path.join(outdir, "gaussians.glb")
-    
+
     export_ply(
         gaussians.means[0],
         gaussians.scales[0],
@@ -124,16 +121,9 @@ def get_reconstructed_scene(outdir, model, device):
         Path(plyfile),
         save_sh_dc_only=True,
     )
-    import trimesh
-
-    # Load your Gaussian-splat PLY (positions + any per-point attrs)
-    mesh = trimesh.load(plyfile)  
-    # Export as .glb
-    mesh.export(glbfile)
-
     # Clean up
     torch.cuda.empty_cache()
-    return glbfile, video, depth_colored
+    return plyfile, video, depth_colored
 
 
 # 2) Handle uploaded video/images --> produce target_dir + images