Kognic OpenLABEL
Installation
Install the Kognic OpenLABEL package from pip with
pip install kognic-openlabel
Serialization and deserialization
Since all models inherit from pydantic's BaseModel, serialization and deserialization from dicts or json strings are relatively straight forward.
data = {
"openlabel": {
"metadata": {
"schema_version": "1.0.0"
}
}
}
import kognic.openlabel.models as OLM
# Deserialize dict
openlabel_annotation = OLM.OpenLabelAnnotation.model_validate(data)
# Serialize to json
json_data = openlabel_annotation.model_dump_json(exclude_none=True)
# Deserialize json
openlabel_annotation = OLM.OpenLabelAnnotation.model_validate_json(json_data)
# Serialize to dict
dict_data = openlabel_annotation.model_dump(exclude_none=True)
Further reading
https://www.asam.net/project-detail/asam-openlabel-v100/
Changelog
[2.2.0] - 2026-08-19
- Revert
Frame.frame_propertiesandFrameProperties.timestampto optional (as in 2.0.x and depending on interpretation, OpenLABEL spec). Making them required in 2.1.0 broke consumers that build models incrementally or parse old exports without those fields. Compatibility note: The Kognic pre-annotation flavor of OL still requires a timestamp per frame.
[2.0.3] - 2024-07-26
- Fix so that
model_dumpworks correctly with ontologies
[2.0.2] - 2024-07-26
...
[2.0.1] - 2023-11-07
- Use
model_rebuildinstead of deprecatedupdate_forward_refs
[2.0.0] - 2023-11-06
- Bump pydantic to >2
[1.0.1] - 2023-07-05
- Pin pydantic version to <2
[1.0.0] - 2022-10-18
- Annotell becomes Kognic
[0.1.4] - 2022-01-24
- Improved serializability for enum classes
[0.1.3] - 2022-01-04
- Fixed issues with version 0.1.2
[0.1.2] - 2021-12-29
- Updated several fields with multiple types to fix issues with serialization and deserialization.
For example, the coordinates on
Poly2dobjects were previously always parsed to strings. This update means that an attempt to parse them to floats is made. If this fails the they will be parsed to strings.
[0.1.1] - 2021-11-24
- Updated stream properties model generation to be nicer to work with
[0.1.0] - 2021-11-18
- Updated json schema and model to be true to the 1.0.0 release of openlabel. Previously it was based on the release-candidate
Metadata
Release files for kognic-openlabel 2.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| kognic_openlabel-2.2.0.tar.gz | 34.0 kB | With provenance | Details for kognic_openlabel-2.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| kognic_openlabel-2.2.0-py3-none-any.whl | Python 3 | none | any | Details for kognic_openlabel-2.2.0-py3-none-any.whl |
Total release size: 65.4 kB
Release files / kognic_openlabel-2.2.0.tar.gz
| Download URL | kognic_openlabel-2.2.0.tar.gz |
|---|---|
| Size | 34.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
31c5dccca069c08e4b8711f21bf4c6a14f34aabf012b6b77be8013ef4d7eb9c5
|
|
BLAKE2b-256 checksum How to use checksums |
cf36306376d843a81525af52e9d236e1336350270cb306aad9289727e82e19aa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
Transparency logRelease files / kognic_openlabel-2.2.0-py3-none-any.whl
| Download URL | kognic_openlabel-2.2.0-py3-none-any.whl |
|---|---|
| Size | 31.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f262aa74a7a6e88d67e2a97489ddca59646958978784aed15a929604534b051d
|
|
BLAKE2b-256 checksum How to use checksums |
7d5960a45a3b4c276903a6f54508dea0e27cfa36a2cc9febf1a1b4fab8ef35f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
Transparency logSecurity for kognic-openlabel 2.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for kognic_openlabel-2.2.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.