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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)
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