config.yaml

name: 'Default'
trainer: binary
logging: true
tags:
  - real

learning_rate: 0.001
lr_factor: 0.1
lr_patience: 5

batch_size: 32
epochs: 70

patch_size: 128
stride: 84

datasets:
  image_path: 'D:/Pius/raw data/hoas_lh_tip_crop.tif'
  label_path: 'D:/Pius/Data/FingerSegmentation.tif'
  train:
    mask_path: 'D:/Pius/Data/Runs/R6-1_Mask.tiff'
    cache_path: './cache/cache_v2'
  val:
    mask_path: 'D:/Pius/Data/Runs/validation_mask.tiff'
    cache_path: './cache/cache_v2_val'
cache: true
train_val_split_ration: 1
drop_until_equal: true
keep_extra: 0.25

encoder:
  name: 'efficientnet-b4'
#  weights: 'imagenet'

transforms:
  general:
    - Clip:
       min_val: 90
       max_val: 195
  train:
    - Blur:
        blur_limit: 5
    - HorizontalFlip:
    - VerticalFlip:
    - Rotate:
        limit: 45
        border_mode: 'BORDER_REFLECT_101'

early_stopping:
  patience: 10
  min_delta: 0.0

seeds:
  data: 476