Spectacular AI SDK for OAK (Depth AI)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for spectacularAI from gravatar.com spectacularAI

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Free for non-commercial use (Free for non-commercial use)
  • Author: Spectacular AI Ltd
  • Tags vio , slam
  • Requires: Python >=3
Classifiers
Report project as malware

Project description

The SDK performs 6-DoF pose tracking based on visual-inertial odometry (VIO), the fusion of camera and IMU data. See https://github.com/SpectacularAI/sdk-examples for more information.

License

Free for non-commercial use.

A list of 3rd party copyright notices that should be included in redistributions is provided as the LICENSE.txt file in the Python Wheels.

For more alternatives (C++ version), CPU architectures (ARM) and commercial licensing options, contact us at https://www.spectacularai.com

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for spectacularAI from gravatar.com spectacularAI

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Free for non-commercial use (Free for non-commercial use)
  • Author: Spectacular AI Ltd
  • Tags vio , slam
  • Requires: Python >=3
Classifiers

Release history Release notifications | RSS feed

1.53.1

1.52.1

1.52.0

1.51.1

1.51.0

1.50.0

1.49.0

1.48.0

1.47.1

1.46.0

1.45.1

1.44.0

1.43.2

1.43.1

1.43.0

1.42.2

1.41.2

1.40.1

1.39.0

1.38.3

1.38.1

1.37.0

1.36.0

1.35.0

1.34.0

1.33.0

1.32.0

1.31.0

1.30.0

1.29.0

1.28.0

1.27.0

1.26.2

1.26.1

1.25.1

1.25.0

1.24.1

1.24.0

1.23.1

1.23.0

1.22.1

1.22.0

1.21.0

1.20.0

1.19.1

1.19.0

1.18.2

1.18.1

1.16.1

This version

1.16.0

1.15.0

1.14.0

1.13.1

1.12.1

1.12.0

1.11.0

1.10.0

1.9.0

1.8.0

1.7.0

1.6.0

1.5.0

1.4.0

1.3.0

1.2.0

1.1.1

1.1.0

1.0.0

0.23.0

0.22.0

0.21.0

0.20.1

0.20.0

0.19.0

0.18.0

0.17.2

0.17.0

0.16.0

0.15.0

0.14.0

0.13.0

0.12.1

0.12.0

0.11.0

0.10.0

0.9.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

spectacularAI-1.16.0-cp311-cp311-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.16.0-cp310-cp310-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.16.0-cp39-cp39-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.16.0-cp38-cp38-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.16.0-cp37-cp37m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.16.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.16.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 cbbc3d27c8fb930edda548dda883bf0377e9faf78d16357384da19dcd83a225a
MD5 3408a269ad84d3d6391aa3bd91e6223d
BLAKE2b-256 1c3d3d8f27e7b80ffceada32bf5fb0e9aacd488f8a9e68f04f465081e5b8f500

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e004a26c584f526c58a7d8d906e0fb6bb22a9334206643fd99e4bf0c4544be9e
MD5 a96054998b074572f7aa77538e782c90
BLAKE2b-256 0650676754ceade14f174b8d03b77796d3b358c96fca5a881b923e7ac7a6e7c0

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f66975110d2b6a88f261b39990c162b756c4217ea84cbcfc037bec8e5914e8c4
MD5 8ed3968b6b15d028e9d79c927e4723a9
BLAKE2b-256 a55c9aef2039e9851aff699d7057dd28edf0dfb474a956db272802403b3177cf

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 760dea631517db027124dab2068a57170a100d789d219f25337c9552abda2c4f
MD5 b6e8f984e2b3a96754bd785ed1ed6898
BLAKE2b-256 af3c07d3945365cb620bd47773393493275edd4720b86559236550123c5f031c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7678f3865d83872f93b1252879d3c8bad6d2cc5735748b4e348c5dc83638806c
MD5 d70f5dc9a24205dde9372c5839bd3ec4
BLAKE2b-256 3e194eb9397fdbd944649828b995bf50a431484905c0c875e3d2bdb8bf42cba9

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 77a862720ae1b239e87fb60b432e8633c72a382e986ce767d1d79e11438afb0e
MD5 42452e37e9c35fbccd4d2e91c5f4b7ce
BLAKE2b-256 0ea0e90892d5706cb848c24f6433b090cb23f3cf8bc32472e3c3b7f70f3441a6

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 53460755ad67cf596119c16677a228f102ae2c23158a1d93698934a58cfd0870
MD5 8dbd5b07a9a94137731bae595336e9eb
BLAKE2b-256 10d7893fbb5e54d3ab174e841e23de2f7657ae6fee6b9ccdd54c3055f23068d8

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ebc0b3a13a7a7b77b2dbe53454d65b74eeaae888866b4070108f43d5fab3e962
MD5 c3142e48399e1111421e564be67f9063
BLAKE2b-256 7102941421b787c45668840f28b6d2b3f33ca3e8d47d47b1047372d376a42484

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1fea024dd283424d1d8d555b43910183c2df2c5b594250aa84086b0361e6e6f1
MD5 2793e4bd754b518552befad0ee1af2aa
BLAKE2b-256 63cbea1b77adf83db37a054727c0ccd9cccffc5f7af76459e60a271d582cdec5

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9d2361a20e7230751f3a43228ba2b1c4e803d40879b48c169485d5fee8f06a1a
MD5 e86a7ecaf6ab1fb5da48b21113e3e9e8
BLAKE2b-256 35a55b902a4e3e234cf4b9f83662264f65fc9104f591631556c608e48abcf276

See more details on using hashes here.

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