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

1.33.0

1.32.0

1.31.0

1.30.0

1.29.0

1.28.0

1.27.0

This version

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-1.26.2-cp311-cp311-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.26.2-cp310-cp310-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.26.2-cp39-cp39-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.26.2-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.26.2-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.26.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.26.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d8ce12a1cb0bfdbb073cd2bf4ba3dde4004a9f047b0e5d13360bf1ab6f427da6
MD5 d71e9bb4d646de4245d6536aa136174b
BLAKE2b-256 656c81d90be4e2d195c6d14474bb01645cd004a98cce9a4bb90bf98fb79f282b

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.5 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-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 59b0d3d3e7cca1ddbdf0c1e27ae1d2fb647f62ac119820d4d1331f9c39f2b8d5
MD5 8a2d36db3f2c37ce6e2edcb5b1b6cf67
BLAKE2b-256 2b70ac9613de8e4512da8759097e3b25ad54698f80ddf0f02f31bfb06558dda2

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.26.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0831d441766e0d567fce9f18bbbcc4a709dcdba61a75c91ed25fe0ffd57b2f33
MD5 46b5105efe22af944b80a62d6a1f8c76
BLAKE2b-256 cec02ce2f851b69e4df1d453c4a2b90799e6102fe8e8ccd7dea90f195c2a2c60

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.5 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-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a67fcbeb80f712c12278373f08466440021b9b59a08a7b639c9c95c67942fb7f
MD5 f81a8c76a6bc773ec0c25d830e188784
BLAKE2b-256 ee2ce2cd516d853f2c57c0c145df1c6ab67f95673533d6cabbdf1e6ff0e8f5b1

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.6 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-1.26.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8a096db1532866e0360f7d1517f5afb0ff5dbc62cde3e49bf9812efa1b69b0d4
MD5 9ae0d6c4eb8fb58abc62f245fa65e97a
BLAKE2b-256 b7bed1e5fbc5c662b25d6872f64df6b76b52055b31d2d1f4b67a2d569bdb7424

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.5 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-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66ee60f0690c1c33ccbd51cd3feef5895f54cdd3f25033bb2af637ec4a5563b0
MD5 58cdae339faf898c28ec0562f0b17e21
BLAKE2b-256 55e85bd3bedd260e37337034a6a9864193f2791a96f7fbb712532ef0c63dac93

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.26.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bc7c9c5819a3b7f40a3c5e0ec2b044f21bf8a9c0be2b15928dc0b2bbe9960d0f
MD5 7fa9ceef7d1f65cc94a5f77e98d3885b
BLAKE2b-256 1e407cf1a4716afe4f02f3b92c83713a92e35b67c1e89eac88890c0da4a63d21

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.5 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-1.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4bf78fc4a956f3617f807ea558511c9c424da517b8ae7b2ea30335f1d0096742
MD5 379db11920a265a5e3e489f3ebc08afc
BLAKE2b-256 ddc334af9f188678753c0f6dc0938619e40089c4e13800a079f28106647469ab

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.26.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 286aa081c2644189cb9fda78a932affd3e66c84949f9a32bc37bb2c45eb2a037
MD5 ce0f3471b40b98964003566f813c6db9
BLAKE2b-256 b573f0560bbf98337afae7e54e362dd38eb81cdfbf43b6bf3b2a28d13d9b592d

See more details on using hashes here.

File details

Details for the file spectacularAI-1.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.5 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-1.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7a4d9e16fafe082e194fe610f7b602f13907aac2b4692aa41f306dca7146c24e
MD5 1e752fcb36e035662d2ed1b3469ebdd1
BLAKE2b-256 bf742d723895d72b4ccd9cf05b5994e655b0f5acd0fe7a13bf34d85834ae3f13

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