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52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
# Copyright (C) 2021-2022 Intel Corporation
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#
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# SPDX-License-Identifier: MIT
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import os.path as osp
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from tempfile import TemporaryDirectory
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from datumaro.components.dataset import Dataset
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from datumaro.plugins.cityscapes_format import write_label_map
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from pyunpack import Archive
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from cvat.apps.dataset_manager.bindings import (GetCVATDataExtractor,
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import_dm_annotations)
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from cvat.apps.dataset_manager.util import make_zip_archive
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from .transformations import MaskToPolygonTransformation, RotatedBoxesToPolygons
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from .registry import dm_env, exporter, importer
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from .utils import make_colormap
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@exporter(name='Cityscapes', ext='ZIP', version='1.0')
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def _export(dst_file, instance_data, save_images=False):
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dataset = Dataset.from_extractors(GetCVATDataExtractor(
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instance_data, include_images=save_images), env=dm_env)
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dataset.transform(RotatedBoxesToPolygons)
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dataset.transform('polygons_to_masks')
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dataset.transform('boxes_to_masks')
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dataset.transform('merge_instance_segments')
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with TemporaryDirectory() as temp_dir:
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dataset.export(temp_dir, 'cityscapes', save_images=save_images,
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apply_colormap=True, label_map={label: info[0]
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for label, info in make_colormap(instance_data).items()})
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make_zip_archive(temp_dir, dst_file)
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@importer(name='Cityscapes', ext='ZIP', version='1.0')
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def _import(src_file, instance_data, load_data_callback=None, **kwargs):
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with TemporaryDirectory() as tmp_dir:
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Archive(src_file.name).extractall(tmp_dir)
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labelmap_file = osp.join(tmp_dir, 'label_colors.txt')
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if not osp.isfile(labelmap_file):
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colormap = {label: info[0]
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for label, info in make_colormap(instance_data).items()}
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write_label_map(labelmap_file, colormap)
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dataset = Dataset.import_from(tmp_dir, 'cityscapes', env=dm_env)
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dataset = MaskToPolygonTransformation.convert_dataset(dataset, **kwargs)
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if load_data_callback is not None:
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load_data_callback(dataset, instance_data)
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import_dm_annotations(dataset, instance_data)
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