the size of reconstructing mesh models

[qiuyuenheng]

May I ask, how can I control the volume size of the reconstructed model when using this code for mesh reconstruction? I tried using the method of loading camera parameters in the 'neus' code to control the size of the generated mesh by adjusting the size of the' scale_mat ', but the generated mesh was always smaller than the ground-truth. Do you have any suggestions?thanks a lot！

            scale_mats = [camera_dict['scale_mat_%d' % idx].astype(np.float32) for idx in range(self.n_images)]
            world_mats = [camera_dict['world_mat_%d' % idx].astype(np.float32) for idx in range(self.n_images)]
            for scale_mat, world_mat in zip(scale_mats, world_mats):
                # scale_mat[:3, :4] *= 1.2
                P = world_mat @ scale_mat
                P = P[:3, :4]
                intrinsics, pose = load_K_Rt_from_P(None, P)
                self.intrinsics_all.append(torch.from_numpy(intrinsics).float())
                self.pose_all.append(torch.from_numpy(pose).float())