exp_config: manual_seed: 49 train_config: checkpoint_config: interval: 200 logging: interval: 50 resume_training_checkpoint_path: null runner: max_iters: 1000 validate: True validation_config: interval: 500 sf_optim: lr: 0.00006 model_config: pretrained: null backbone: type: "mit_b1" dataset_config: input_type: "grayscale" img_norm_cfg: mean: - 127.5 - 127.5 - 127.5 std: - 127.5 - 127.5 - 127.5 to_rgb: True data_root: /tlt-pytorch train_img_dirs: - /data/images/train train_ann_dirs: - /data/masks/train val_img_dir: /data/images/val val_ann_dir: /data/masks/val palette: - seg_class: background rgb: - 0 - 0 - 0 label_id: 0 mapping_class: background - seg_class: foreground rgb: - 255 - 255 - 255 label_id: 1 mapping_class: foreground train_pipeline: augmentation_config: random_crop: crop_size: - 704 - 1280 cat_max_ratio: 0.75 resize: img_scale: - 2048 - 1280 ratio_range: - 0.5 - 2.0 random_flip: prob: 0.5 Pad: size_ht: 704 size_wd: 1280 pad_val: 0 seg_pad_val: 255 repeat_data_times: 500 batch_size_per_gpu: 4 workers_per_gpu: 1