tinycd_v2_b_256x256_40k_levircd.py

_base_ = [
    '../_base_/models/tinycd_v2.py',
    '../common/standard_256x256_40k_levircd.py']

crop_size = (256, 256)

train_pipeline = [
    dict(type='MultiImgLoadImageFromFile'),
    dict(type='MultiImgLoadAnnotations'),
    dict(type='MultiImgRandomRotFlip', rotate_prob=0.5, flip_prob=0.5, degree=(-20, 20)),
    dict(type='MultiImgRandomCrop', crop_size=crop_size, cat_max_ratio=0.75),
    dict(type='MultiImgExchangeTime', prob=0.5),
    dict(
        type='MultiImgPhotoMetricDistortion',
        brightness_delta=10,
        contrast_range=(0.8, 1.2),
        saturation_range=(0.8, 1.2),
        hue_delta=10),
    dict(type='MultiImgPackSegInputs')
]

data = dict(train=dict(pipeline=train_pipeline))

# optimizer
optimizer = dict(
    type='AdamW',
    lr=0.003,
    betas=(0.9, 0.999),
    weight_decay=0.05)

optim_wrapper = dict(
    _delete_=True,
    type='OptimWrapper',
    optimizer=optimizer)