_base_ = [
    './psgformer_r50_psg.py'
]

img_norm_cfg = dict(mean=[123.675, 116.28, 103.53],
                    std=[58.395, 57.12, 57.375],
                    to_rgb=True)
pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='MultiScaleFlipAug',
        img_scale=(1333, 800),
        flip=False,
        transforms=[
            dict(type='Resize', keep_ratio=True),
            dict(type='RandomFlip'),
            dict(type='Normalize', **img_norm_cfg),
            dict(type='Pad', size_divisor=32),
            # NOTE: Do not change the img to DC.
            dict(type='ImageToTensor', keys=['img']),
            dict(type='Collect', keys=['img']),

        ],
    ),
]

data = dict(
    test=dict(
        pipeline=pipeline,
    ),
)