data_wrapper:
  dataset:
    garment_tokenizer:
      standardize:
        rotations:
          _target_: data.datasets.panel_configs.StatsConfig
          scale:
          - 1
          - 1
          - 1
          - 1
          shift:
          - 0
          - 0
          - 0
          - 0
        translations:
          _target_: data.datasets.panel_configs.StatsConfig
          scale:
          - 26.06867645
          - 32.42920198
          - 22.29905009
          shift:
          - -0.0125378371
          - 113.507532
          - 2.63046369
        vertices:
          _target_: data.datasets.panel_configs.StatsConfig
          scale:
          - 24.4920733
          - 26.60402835
          shift:
          - 8.44428116
          - 16.84081321
        _target_: data.datasets.panel_configs.StandardizeConfig
      _target_: data.garment_tokenizers.gcd_garment_tokenizer.GCDGarmentTokenizer
      random_tag: true
      num_tags: 108
    _target_: data.datasets.gcd_mm_dataset.GCDMM
    root_dir: datadir/GarmentCodeData_v2/GarmentCodeData_v2
    editing_dir: datadir/GarmentCodeData_v2/GCD-MM/editing_dir/garmentcodedata_editing
    caption_dir: datadir/GarmentCodeData_v2/GCD-MM/caption_dir/long-caption-processed
    editing_flip_prob: 0.5
    sampling_rate:
    - 0.2
    - 0.2
    - 0.2
    - 0.2
    - 0.2
    panel_classification: assets/data_configs/panel_classes_garmentcodedata.json
    load_by_dataname: assets/data_configs/garmentcodedata_list.txt
    image_size: 448
    max_num_patches: 12
    conv_template: internvl2_5
  _target_: data.data_wrappers.data_wrapper.DataWrapper
  _recursive_: false
  collate_fn: data.data_wrappers.collate_fns.collate_fn
  split_file: assets/data_configs/garmentcodedata_datasplit.json
trainer:
  _target_: trainers.trainer.Trainer
  lr: 1.0e-05
  beta1: 0.9
  beta2: 0.95
  grad_accumulation_steps: 10
  batch_size: 4
  num_steps: 12750
  save_freq: 1000
experiment:
  wandb_info:
    wandb_dir: wandb
    wandb_cache_dir: wandb_cache
  project_name: AIpparel
  run_name: train
  run_id: null
  local_dir: null
model:
  edge_loss_weight: 0.1
  pos_embed: true
  num_freq: 0
  pos_embed_type: sinusoidal
  verts_bounds:
  - -4
  - -4
  - 4
  - 4
  transf_bounds:
  - -4
  - -4
  - -4
  - -1
  - -1
  - -1
  - -1
  - 4
  - 4
  - 4
  - 1
  - 1
  - 1
  - 1
  denormalize_for_loss: false
  num_regression_layers: 2
  discretize: true
  bin_num: 256
my_pretrained_path: null
llm_pretrained_path: cache/InternVL3-2B-Instruct
resume_path: null
sampling_type: default
pretrained_config: null
precision: bf16
evaluate: false
conv_type: internvl2_5
from_start: false
storage_dir: output/