_base_ = [
    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/snunet_c16.py',
    '/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/common/train_medium_512x512_100k_cgwx.py']

dataset_type = 'LEVIR_CD_Dataset'
data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX'

crop_size = (512, 512)

param_scheduler = [
    dict(
        type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000),
    dict(
        type='PolyLR',
        power=1.0,
        begin=1000,
        end=200000,
        eta_min=0.0,
        by_epoch=False,
    )
]

# training schedule for 100k
train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=1000)

default_hooks = dict(
    timer=dict(type='IterTimerHook'),
    logger=dict(type='LoggerHook', interval=100, log_metric_by_epoch=False),
    param_scheduler=dict(type='ParamSchedulerHook'),
    checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=1000,
                    save_best='mIoU'),
    sampler_seed=dict(type='DistSamplerSeedHook'),
    visualization=dict(type='CDVisualizationHook', interval=1, 
                       img_shape=(512, 512, 3)))