Open wangmiaowei opened 2 weeks ago
anchor = self._anchor.detach().cpu().numpy() normals = np.zeros_like(anchor) anchor_feat = self._anchor_feat.detach().cpu().numpy() offset = self._offset.detach().transpose(1, 2).flatten(start_dim=1).contiguous().cpu().numpy() opacities = self._opacity.detach().cpu().numpy() uncertainties = self._uncertainty.detach().cpu().numpy() scale = self._scaling.detach().cpu().numpy() rotation = self._rotation.detach().cpu().numpy() dtype_full = [(attribute, 'f4') for attribute in self.construct_list_of_attributes()] elements = np.empty(anchor.shape[0], dtype=dtype_full) # attributes = np.concatenate((anchor, normals, offset, anchor_feat, opacities, scale, rotation), axis=1) attributes = np.concatenate((anchor, normals, offset, anchor_feat, opacities, uncertainties, scale, rotation), axis=1) elements[:] = list(map(tuple, attributes)) el = PlyElement.describe(elements, 'vertex') PlyData([el]).write(path)
Thanks for your work, but I do not how to visualize the gaussian in such format
Hi @wangmiaowei, our GS component is based on Scaffold-GS. You may refer to the viewer they provided here: https://github.com/city-super/Scaffold-GS/tree/main/SIBR_viewers.
Thanks for your work, but I do not how to visualize the gaussian in such format