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labelme.py
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labelme.py
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# Copyright (C) 2019 Intel Corporation
#
# SPDX-License-Identifier: MIT
from tempfile import TemporaryDirectory
from pyunpack import Archive
from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
import_dm_annotations)
from cvat.apps.dataset_manager.util import make_zip_archive
from datumaro.components.project import Dataset
from .registry import dm_env, exporter, importer
@exporter(name='LabelMe', ext='ZIP', version='3.0')
def _export(dst_file, task_data, save_images=False):
extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
extractor = Dataset.from_extractors(extractor) # apply lazy transforms
with TemporaryDirectory() as temp_dir:
dm_env.converters.get('label_me').convert(extractor, save_dir=temp_dir,
save_images=save_images)
make_zip_archive(temp_dir, dst_file)
@importer(name='LabelMe', ext='ZIP', version='3.0')
def _import(src_file, task_data):
with TemporaryDirectory() as tmp_dir:
Archive(src_file.name).extractall(tmp_dir)
dataset = dm_env.make_importer('label_me')(tmp_dir).make_dataset()
masks_to_polygons = dm_env.transforms.get('masks_to_polygons')
dataset = dataset.transform(masks_to_polygons)
import_dm_annotations(dataset, task_data)