configs/model/metric_dust3r.yaml

# String for model factory
model_str: "dust3r"
# Model config
model_config:
  name: "metric_dust3r"
  # Checkpoint path
  ckpt_path: "${root_pretrained_checkpoints_dir}/MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric.pth"
  # Scene graph for BA
  scene_graph: "complete"
  # Pairwise inference batch size
  inference_batch_size: 32
  # Global optim schedule
  global_optim_schedule: "cosine"
  # Global optim lr
  global_optim_lr: 0.01
  # Number of iterations for global optimization
  global_optim_niter: 300
# Image Normalization Type
data_norm_type: "dust3r"
# DUSt3R checkpoint is already loaded in the inference wrapper
pretrained: null
# Torch hub force reload
torch_hub_force_reload: false