test_ffhq_degradation_dataset.py

import pytest
import yaml

from gfpgan.data.ffhq_degradation_dataset import FFHQDegradationDataset


def test_ffhq_degradation_dataset():

    with open('tests/data/test_ffhq_degradation_dataset.yml', mode='r') as f:
        opt = yaml.load(f, Loader=yaml.FullLoader)

    dataset = FFHQDegradationDataset(opt)
    assert dataset.io_backend_opt['type'] == 'disk'  # io backend
    assert len(dataset) == 1  # whether to read correct meta info
    assert dataset.kernel_list == ['iso', 'aniso']  # correct initialization the degradation configurations
    assert dataset.color_jitter_prob == 1

    # test __getitem__
    result = dataset.__getitem__(0)
    # check returned keys
    expected_keys = ['gt', 'lq', 'gt_path']
    assert set(expected_keys).issubset(set(result.keys()))
    # check shape and contents
    assert result['gt'].shape == (3, 512, 512)
    assert result['lq'].shape == (3, 512, 512)
    assert result['gt_path'] == 'tests/data/gt/00000000.png'

    # ------------------ test with probability = 0 -------------------- #
    opt['color_jitter_prob'] = 0
    opt['color_jitter_pt_prob'] = 0
    opt['gray_prob'] = 0
    opt['io_backend'] = dict(type='disk')
    dataset = FFHQDegradationDataset(opt)
    assert dataset.io_backend_opt['type'] == 'disk'  # io backend
    assert len(dataset) == 1  # whether to read correct meta info
    assert dataset.kernel_list == ['iso', 'aniso']  # correct initialization the degradation configurations
    assert dataset.color_jitter_prob == 0

    # test __getitem__
    result = dataset.__getitem__(0)
    # check returned keys
    expected_keys = ['gt', 'lq', 'gt_path']
    assert set(expected_keys).issubset(set(result.keys()))
    # check shape and contents
    assert result['gt'].shape == (3, 512, 512)
    assert result['lq'].shape == (3, 512, 512)
    assert result['gt_path'] == 'tests/data/gt/00000000.png'

    # ------------------ test lmdb backend -------------------- #
    opt['dataroot_gt'] = 'tests/data/ffhq_gt.lmdb'
    opt['io_backend'] = dict(type='lmdb')

    dataset = FFHQDegradationDataset(opt)
    assert dataset.io_backend_opt['type'] == 'lmdb'  # io backend
    assert len(dataset) == 1  # whether to read correct meta info
    assert dataset.kernel_list == ['iso', 'aniso']  # correct initialization the degradation configurations
    assert dataset.color_jitter_prob == 0

    # test __getitem__
    result = dataset.__getitem__(0)
    # check returned keys
    expected_keys = ['gt', 'lq', 'gt_path']
    assert set(expected_keys).issubset(set(result.keys()))
    # check shape and contents
    assert result['gt'].shape == (3, 512, 512)
    assert result['lq'].shape == (3, 512, 512)
    assert result['gt_path'] == '00000000'

    # ------------------ test with crop_components -------------------- #
    opt['crop_components'] = True
    opt['component_path'] = 'tests/data/test_eye_mouth_landmarks.pth'
    opt['eye_enlarge_ratio'] = 1.4
    opt['gt_gray'] = True
    opt['io_backend'] = dict(type='lmdb')

    dataset = FFHQDegradationDataset(opt)
    assert dataset.crop_components is True

    # test __getitem__
    result = dataset.__getitem__(0)
    # check returned keys
    expected_keys = ['gt', 'lq', 'gt_path', 'loc_left_eye', 'loc_right_eye', 'loc_mouth']
    assert set(expected_keys).issubset(set(result.keys()))
    # check shape and contents
    assert result['gt'].shape == (3, 512, 512)
    assert result['lq'].shape == (3, 512, 512)
    assert result['gt_path'] == '00000000'
    assert result['loc_left_eye'].shape == (4, )
    assert result['loc_right_eye'].shape == (4, )
    assert result['loc_mouth'].shape == (4, )

    # ------------------ lmdb backend should have paths ends with lmdb -------------------- #
    with pytest.raises(ValueError):
        opt['dataroot_gt'] = 'tests/data/gt'
        opt['io_backend'] = dict(type='lmdb')
        dataset = FFHQDegradationDataset(opt)