Spectacular AI Python library

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 SLAM (VISLAM), 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 (custom devices), 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

This version

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

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-1.33.0-cp311-cp311-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.33.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.33.0-cp310-cp310-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.33.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.33.0-cp39-cp39-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.33.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.33.0-cp38-cp38-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.33.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.33.0-cp37-cp37m-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.33.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.33.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 55a682fbe8d4358f6b7a6b7dfcc03b5f0f14d14d97fa4fd77916a270fc58f644
MD5 445b410f38918e5f4a97cfddc040dd93
BLAKE2b-256 04c831261e1b1f2010b9e4801183b29b88f5ae3a57d98fb8b4e42f765a5e20f7

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.9 MB
  • Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d9f684b2a7ba4867be3997be6ed173cc0adc9d8e4c966f6845e3fb1beb50188c
MD5 ff88c0d74d86640ca358cfa364ecfbed
BLAKE2b-256 86e77bcc51eb70d32e8f1b06d5c5133b99476cb3764c08ebc863e404c190dd1a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4f9015f757cb413e2d35fc4ba67123404b2c9e8acb4e83cec06d933163247153
MD5 0af448ebe902af201864c6bea82476a7
BLAKE2b-256 22db2752ab1de22ec5df5f023b3bf7781b9398d5bdc7cdc68c76a88441317309

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.9 MB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 02a50760c67059033feda6a5ca3f4baec28e007727b62b2f924c1384f3295d33
MD5 2cffc2fc9ad6d83faf158cd0dbd680e8
BLAKE2b-256 df33a03c987b93075907526faf43d1f8a2d68ab05eb12784e70b37ac1e181b95

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 113c2d1ce6ddb6ed93eb5c02e486500d8dafec8dc8bec380a57c3c90bf74b7f9
MD5 df45483d10df5115f38ce12125cb1886
BLAKE2b-256 4b2dddee695941da8e499807feba49ad867351fffbb1a95d54686f72729381fc

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.9 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d7a6fc4c775dd10a3b3fa3dbc306db4ad62f880dd07888dd3bc2b234949a6fb9
MD5 abc127a6c430b7dadf8f496ec6008291
BLAKE2b-256 47116b9f7aac26cfc7bf08e19cf04adcdb3307cb4051cbcc8eec8f92a25baa28

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b940b0d57603e407d3c93ea57993da15f79ebea78069b78a86018dca76d4f813
MD5 36bf8083cbd5d69623c4b7a18f5a6743
BLAKE2b-256 f471e2c47d4c7a28acb3171d78a679738849dd0c1809e745fa35b233b74d9ed5

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.9 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b5feda8feece4b3a094839cfc98b7178be9ca5263cf1dc06c77cdd861f19c3b8
MD5 19536837e801ca18f0fd851d81bd3dce
BLAKE2b-256 be3cefa8f366164d6cb33eb9c69a5a549c87ea5f0faf8337bc148857643793fb

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bc16f654233c2acc1f53f3486ed12f5dfbd9ffae33e924e576482f837d532ef7
MD5 0dbc0f532f246a184d4d41906f038dcf
BLAKE2b-256 12280fbdeff4e276238a7c1970c18f7f94cfe762f81a471df52ba372f5ba116f

See more details on using hashes here.

File details

Details for the file spectacularAI-1.33.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.33.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 12.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.33.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e1a5ab0bd47353763052361c6a4476b457ed0317473719316f5c27b32f8c9d31
MD5 8f64a34373a10bd5c3d25ddc056f543c
BLAKE2b-256 433b8a21163a787ec22904ec6019668ce57a2ca54d32a97cd17ba29c622eac1d

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