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42 lines
1.7 KiB
Python

# Copyright (C) 2019-2022 Intel Corporation
#
# SPDX-License-Identifier: MIT
from tempfile import TemporaryDirectory
from datumaro.components.dataset import Dataset
from pyunpack import Archive
from cvat.apps.dataset_manager.bindings import (GetCVATDataExtractor,
import_dm_annotations)
from cvat.apps.dataset_manager.util import make_zip_archive
from .transformations import MaskToPolygonTransformation, RotatedBoxesToPolygons
from .registry import dm_env, exporter, importer
from .utils import make_colormap
@exporter(name='Segmentation mask', ext='ZIP', version='1.1')
def _export(dst_file, instance_data, save_images=False):
dataset = Dataset.from_extractors(GetCVATDataExtractor(
instance_data, include_images=save_images), env=dm_env)
dataset.transform(RotatedBoxesToPolygons)
dataset.transform('polygons_to_masks')
dataset.transform('boxes_to_masks')
dataset.transform('merge_instance_segments')
with TemporaryDirectory() as temp_dir:
dataset.export(temp_dir, 'voc_segmentation', save_images=save_images,
apply_colormap=True, label_map=make_colormap(instance_data))
make_zip_archive(temp_dir, dst_file)
@importer(name='Segmentation mask', ext='ZIP', version='1.1')
def _import(src_file, instance_data, load_data_callback=None, **kwargs):
with TemporaryDirectory() as tmp_dir:
Archive(src_file.name).extractall(tmp_dir)
dataset = Dataset.import_from(tmp_dir, 'voc', env=dm_env)
dataset = MaskToPolygonTransformation.convert_dataset(dataset, **kwargs)
if load_data_callback is not None:
load_data_callback(dataset, instance_data)
import_dm_annotations(dataset, instance_data)