_base_ = '/new-home/buddhiw/CD-Models/model_repos/open-cd/configs/changer/changer_ex_r18_512x512_40k_levircd.py'

dataset_type = 'DSIFN_Dataset'
data_root = r'/new-home/buddhiw/CD-Models/generated_dataset_views/levir_cd/opencd'
crop_size = (256, 256)

train_dataloader = dict(
    batch_size=8,
    num_workers=4,
    dataset=dict(
        type=dataset_type,
        data_root=data_root,
        data_prefix=dict(seg_map_path='train/label', img_path_from='train/A', img_path_to='train/B')))
val_dataloader = dict(
    dataset=dict(
        type=dataset_type,
        data_root=data_root,
        data_prefix=dict(seg_map_path='val/label', img_path_from='val/A', img_path_to='val/B')))
test_dataloader = dict(
    dataset=dict(
        type=dataset_type,
        data_root=data_root,
        data_prefix=dict(seg_map_path='test/label', img_path_from='test/A', img_path_to='test/B')))

train_cfg = dict(type='IterBasedTrainLoop', max_iters=204000, val_interval=1020)
work_dir = r'/new-home/buddhiw/CD-Models/results/changer/levir_cd/work_dir'