b09454afb34000634c8a77050135e3201f6f365d,chainercv/utils/testing/assertions/assert_is_semantic_segmentation_dataset.py,,assert_is_semantic_segmentation_dataset,#Any#Any#Any#,7

Before Change

    for _ in six.moves.range(repeat):
        i = np.random.randint(0, len(dataset))
        sample = dataset[i]

        assert len(sample) >= 2, \
            "Each example must have at least two elements:" \
            "img and label."

        img, label = sample[:2]

        assert_is_image(img, color=True)

        assert isinstance(label, np.ndarray), \

After Change

    assert len(dataset) > 0, "The length of dataset must be greater than zero."

    if n_example:
        for _ in six.moves.range(n_example):
            i = np.random.randint(0, len(dataset))
            _check_example(dataset[i], n_class)
    else:
        for i in six.moves.range(len(dataset)):
            _check_example(dataset[i], n_class)


def _check_example(example, n_class):
    assert len(example) >= 2, \
        "Each example must have at least two elements:" \
        "img and label."

Instances