model:
  name: baselines.tokengs.model
  tokengs_weights: tokengs/checkpoints_26.06/dl3dv_latent_6v_ssim.safetensors
  prune_opacity_threshold: 0.0  # evaluate with all gaussians, like the official model
  normalize_internally: false  # dataloader does mean_cam + 0.15; model consumes poses as-is

data:
  dataset_dir: data/dl3dv/540x960
  # mean_cam average-pose frame + fixed 0.15 scale on RAW poses (matches official Provider).
  reference_frame: mean_cam
  scene_scale_constant: 0.15
  aspect_ratio_range: [1.778, 1.778]
  preprocessing:
    resize: null


eval:
  align_poses: true  # same predict -> align -> render path as every other baseline
  render_resize: 252

max_samples: 5
