# dataset settings
dataset_type = 'CocoDataset'
data_root = '/data/COCO/'
preproc_mode = 'rgb'
image_mean = (123.68, 116.78, 103.94)
image_std = (58.393, 57.12, 57.375)
data = dict(
    imgs_per_gpu=4,
    train=dict(
        type=dataset_type,
        train=True,
        dataset_dir=data_root,
        subset='train',
        flip_ratio=0.5,
        pad_mode='fixed',
        preproc_mode=preproc_mode,
        mean=image_mean,
        std=image_std,
        scale=(800, 1333)),
    val=dict(
        type=dataset_type,
        train=False,
        dataset_dir=data_root,
        subset='val',
        flip_ratio=0,
        pad_mode='fixed',
        preproc_mode=preproc_mode,
        mean=image_mean,
        std=image_std,
        scale=(800, 1333)),
    test=dict(
        type=dataset_type,
        train=False,
        dataset_dir=data_root,
        subset='val',
        flip_ratio=0,
        pad_mode='fixed',
        preproc_mode=preproc_mode,
        mean=image_mean,
        std=image_std,
        scale=(800, 1333)),
)