Upload tests/test_ffhq_degradation_dataset.py

tests/test_ffhq_degradation_dataset.py

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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)