| data: |
| name: muscle_us |
| loader: |
| max_num_samples_per_split: -1 |
| patch_shape: |
| - 480 |
| - 512 |
| patch_overlap: |
| - 0 |
| - 0 |
| data_augmentation: |
| max_rotation: 30 |
| max_zoom: 0.2 |
| max_shear: 30 |
| max_shift: 0.3 |
| max_log_gamma: 0.3 |
| v_min: 0.0 |
| v_max: 1.0 |
| p: 0.5 |
| trainer: |
| max_num_samples: 512000 |
| batch_size: 64 |
| batch_size_per_replica: 8 |
| num_devices_per_replica: 1 |
| patch_size: |
| - 2 |
| - 2 |
| scale_factor: |
| - 2 |
| - 2 |
| task: |
| name: segmentation |
| model: |
| _target_: imgx.model.Unet |
| remat: true |
| num_spatial_dims: 2 |
| patch_size: |
| - 2 |
| - 2 |
| scale_factor: |
| - 2 |
| - 2 |
| num_res_blocks: 2 |
| num_channels: |
| - 8 |
| - 16 |
| - 32 |
| - 64 |
| out_channels: 2 |
| num_heads: 8 |
| widening_factor: 4 |
| num_transform_layers: 1 |
| dropout: 0.1 |
| loss: |
| dice: 1.0 |
| cross_entropy: 0.0 |
| focal: 1.0 |
| early_stopping: |
| metric: mean_binary_dice_score_without_background |
| mode: max |
| min_delta: 0.0001 |
| patience: 10 |
| debug: false |
| seed: 0 |
| half_precision: true |
| optimizer: |
| name: adamw |
| kwargs: |
| b1: 0.9 |
| b2: 0.999 |
| weight_decay: 1.0e-08 |
| grad_norm: 1.0 |
| lr_schedule: |
| warmup_steps: 100 |
| decay_steps: 10000 |
| init_value: 1.0e-05 |
| peak_value: 0.0008 |
| end_value: 5.0e-05 |
| logging: |
| root_dir: null |
| log_freq: 10 |
| save_freq: 100 |
| wandb: |
| project: imgx |
| entity: entity |
|
|
