Skip to main content

GitHub  •  LinkedIn  •  X  •  Discord

Telekinesis Datatypes

Telekinesis Datatypes is a core library providing canonical, strongly typed data structures for robotics and computer vision applications within the Telekinesis ecosystem.

It includes:

  • 3D data types: point clouds, meshes, transforms, and geometric primitives
  • 2D data types: images, bounding boxes, masks, and pixel-space geometry
  • Standardized representations for common perception and geometry formats
  • Efficient serialization and deserialization for reliable data exchange

Release Model

Telekinesis Datatypes is currently in active development (pre-1.0). Modules are introduced incrementally, and the API may evolve between minor releases. To ensure compatibility and access to the latest capabilities, always install or upgrade to the most recent version of the package.

Installation

  1. Create an isolated environment so that there is no dependency conflicts. We recommend installing Miniconda environment by following instructions from here.

  2. Create a new conda environment called telekinesis-datatypes:

    We currently support Python versions - 3.11, 3.12. Ensure your environment is in the specified Python version.

    conda create -n telekinesis-datatypes python=3.11
    
  3. Activate the environment:

    conda activate telekinesis-datatypes
    
  4. Install the core package using pip:

    pip install telekinesis-datatypes
    

    Note: The Python module is called datatypes, while the package published on PyPI is telekinesis-datatypes.

Example

Run a sample python code to quickly test your installation.

import rerun as rr
from telekinesis import datatypes

url = "https://assets.telekinesis.ai/examples/v1/images/screws_standing.jpg"
image_from_url = datatypes.Image.from_url(url)

rr.init("datatypes_examples", spawn=True)
datatypes.visualize(image_from_url, entity_path="/ImageFromURL")

You are now set up with Telekinesis Datatypes.

Resources

Support

For issues and questions:

Download files

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

Source Distribution

telekinesis_datatypes-0.3.4.tar.gz (203.5 kB view details)

Uploaded Source

Built Distribution

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

telekinesis_datatypes-0.3.4-py3-none-any.whl (210.5 kB view details)

Uploaded Python 3

File details

Details for the file telekinesis_datatypes-0.3.4.tar.gz.

File metadata

  • Download URL: telekinesis_datatypes-0.3.4.tar.gz
  • Upload date:
  • Size: 203.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for telekinesis_datatypes-0.3.4.tar.gz
Algorithm Hash digest
SHA256 d4902801556622c85256c2819414ea0b09e6be0695cc7fe4d646c88b948a3238
MD5 51961d73983258bd37067d47b210b14a
BLAKE2b-256 7a755b402eb9fb23fbf511dd9e77a310b3ff7f4d1331509dd58ef163e465752f

See more details on using hashes here.

File details

Details for the file telekinesis_datatypes-0.3.4-py3-none-any.whl.

File metadata

File hashes

Hashes for telekinesis_datatypes-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ca2e4047bc4b9ce2a3553f02a07bf49146b29e32dfc29f9261136e53cbafc7dc
MD5 4a0e8d2cd5e3ca50c74298a3f0aba3df
BLAKE2b-256 3b7e6759f10729d109f581ce44be77ec018f7db413e74e5cdab3b798f8863223

See more details on using hashes here.

Release history Release notifications | RSS feed

0.3.11

2 files

0.3.9

2 files

0.3.8

2 files

0.3.7

2 files

0.3.6

2 files

0.3.5

2 files

This release

0.3.4 This release

2 files

0.3.3

2 files

0.3.1

2 files

0.3.0

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.5

2 files

0.1.3

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page