data_root = 'data/VOCdevkit/VOC2007/JPEGImages'
data_all_list = 'data/VOCdevkit/VOC2007/Lists/trainvaltest.txt'
split_at = [5011]
split_name = ['voc07_trainval', 'voc07_test']
img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])

data = dict(
    imgs_per_gpu=32,
    workers_per_gpu=2,
    extract=dict(
        type='RawDataset',
        data_source=dict(
            type='SSLSourceImageList', list_file=data_all_list,
            root=data_root),
        pipeline=[
            dict(type='Resize', size=256),
            dict(type='Resize', size=(224, 224)),
            dict(type='ToTensor'),
            dict(type='Normalize', **img_norm_cfg),
        ]))