Skip to main content

Annotation converter between different formats

Project description

DagsHub Annotation Converter

This package is intended to be a multi-type importer/exporter/converter between different annotation formats.

This package is currently in development and has not that many features implemented. The API is not stable and is subject to change.

The package consists of the Intermediary Representation (IR) annotation format in Python Objects, and importers/exporters for different annotation formats.

Installation

pip install dagshub-annotation-converter

Importers (Image):

from dagshub_annotation_converter.formats.label_studio.task import LabelStudioTask
task_obj = LabelStudioTask.from_json("path/to/label_studio_task.json")

annotations = task_obj.to_ir_annotations()

Exporters (Image):

Experimental Features:

The package contains some experimental features that can be toggled on by setting a corresponding environment variable:

  • DAGSHUB_ANNOTATION_EXPERIMENTAL_CVAT_POSE_GROUPING_BY_GROUP_ID_ENABLED - When importing CVAT annotations, you can put a single bbox and either a points or skeletons annotation in a group, and then they will be grouped together into a pose annotation. When exporting that to YOLO, the bbox and the points will be exported as a single annotation.

You can read more about the features that exist, their limitations and potential side effects in the features.py file

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dagshub_annotation_converter-0.1.14.tar.gz (33.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dagshub_annotation_converter-0.1.14-py3-none-any.whl (35.9 kB view details)

Uploaded Python 3

File details

Details for the file dagshub_annotation_converter-0.1.14.tar.gz.

File metadata

File hashes

Hashes for dagshub_annotation_converter-0.1.14.tar.gz
Algorithm Hash digest
SHA256 5ce6e2cc6a5045396ed916840d34d58612c534cf99daf56baafcbda47ab34378
MD5 b27c535001f76454930f7c9346271f0c
BLAKE2b-256 4127613f3959c06bc6201d6e206ba5c474194ac152da2da4a4eb66f821a5107c

See more details on using hashes here.

Provenance

The following attestation bundles were made for dagshub_annotation_converter-0.1.14.tar.gz:

Publisher: python-publish.yml on DagsHub/dagshub-annotation-converter

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dagshub_annotation_converter-0.1.14-py3-none-any.whl.

File metadata

File hashes

Hashes for dagshub_annotation_converter-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 29c2c25e2afa5b9744fb058dfee95fcf54c7797c407f68039e597b1a4058689e
MD5 c4af4d8e92e94904221b3a535e9874e6
BLAKE2b-256 60479000aa5c6e0e413a4d97907c40b6f2b06d5a564504afc33108b84b778894

See more details on using hashes here.

Provenance

The following attestation bundles were made for dagshub_annotation_converter-0.1.14-py3-none-any.whl:

Publisher: python-publish.yml on DagsHub/dagshub-annotation-converter

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page