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2.3 KiB
Python

# Copyright (C) 2021-2022 Intel Corporation
# Copyright (C) 2022 CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import os.path as osp
from tempfile import TemporaryDirectory
from datumaro.components.dataset import Dataset
from datumaro.plugins.kitti_format.format import KittiPath, write_label_map
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='KITTI', ext='ZIP', version='1.0')
def _export(dst_file, instance_data, save_images=False):
dataset = Dataset.from_extractors(GetCVATDataExtractor(instance_data,
include_images=save_images), env=dm_env)
with TemporaryDirectory() as tmp_dir:
dataset.transform(RotatedBoxesToPolygons)
dataset.transform('polygons_to_masks')
dataset.transform('merge_instance_segments')
dataset.export(tmp_dir, format='kitti',
label_map={k: v[0] for k, v in make_colormap(instance_data).items()},
apply_colormap=True, save_images=save_images
)
make_zip_archive(tmp_dir, dst_file)
@importer(name='KITTI', ext='ZIP', version='1.0')
def _import(src_file, instance_data, load_data_callback=None, **kwargs):
with TemporaryDirectory() as tmp_dir:
Archive(src_file.name).extractall(tmp_dir)
color_map = {k: v[0] for k, v in make_colormap(instance_data).items()}
color_map_path = osp.join(tmp_dir, KittiPath.LABELMAP_FILE)
if not osp.isfile(color_map_path):
write_label_map(color_map_path, color_map)
dataset = Dataset.import_from(tmp_dir, format='kitti', env=dm_env)
labels_meta = instance_data.meta[instance_data.META_FIELD]['labels']
if 'background' not in [label['name'] for _, label in labels_meta]:
dataset.filter('/item/annotation[label != "background"]',
filter_annotations=True)
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)