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

This version

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-1.31.0-cp311-cp311-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.31.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.31.0-cp310-cp310-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.31.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.31.0-cp39-cp39-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.31.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.31.0-cp38-cp38-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.31.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.31.0-cp37-cp37m-win_amd64.whl (6.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.31.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.31.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a44ee4769efbb0608d325712460872149497a279cf43552c82e265b77f6cdc18
MD5 6357274423ced54b644d624ec788774a
BLAKE2b-256 fd28d5c5516d873e3a47befa1ea242609a412e72ba8af0e397cb3e5795cc0c7e

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31f4dbed52971e5f65b01ada002a9e3d4829689b79ae6347d1cc416e453735cf
MD5 de79b743e843904cc176c68a0490edcd
BLAKE2b-256 234b5ec165564cda0db1353fde2e8280e1dd2fd4fdb8c559b92c7aecead08e0c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 010de72aa31a62b4f221a6bf4c09065f6a057ce0d1fda23470efcb7c0fa03856
MD5 5ada8590ec2e8b3c5b7f0c5befe7ab45
BLAKE2b-256 907ef48f98181c52ccc7cf8ce7e813d6a1d7d26fbff3623d2ee03f3a797e6e43

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3df731b9dbb1cec31faa366b7a29db27f14e7dcc054b153d2b8f4ad38d8c4395
MD5 7d849d7c3b9000a31a2fe5a6107429be
BLAKE2b-256 9e67315ec588f4140345968bd953764391d119033a08a7f0971d1e16caa32d92

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a9007001b800a7f827206c2398e537d10022c04568468b9436651598ed3ef59d
MD5 bb82b2f9846bfd4c5bd3a5cf24561206
BLAKE2b-256 381acd92711e8ea7a01e9725f3454237ce5b9ef07aff422f7691a192712db7e1

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 da977eb3e29edf54db51caf8a2fe956717d18a4432811c15aabae8d579443afd
MD5 e3ed665df5c3add0b40fa094fb3ca6de
BLAKE2b-256 bd8a504581707fd9454d711be70cfd45dff9f3475ce63257ea98f0378432a0ec

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9d56ded26f2b91c52f32ec895d2af095af8efed6076bc74d93f8b8c72d7629a4
MD5 27e612fc20463033a71904631c2d96fb
BLAKE2b-256 1fb57437be4c53f3bf170a89785600f65024082fcdc1e5226086ea70645ba77a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e96ec5e47a2884dfcd37cb92304d2b538eb7f480e646386bc68a802f4de75a15
MD5 65fea35db95f3f4544b3b8efe7e177c7
BLAKE2b-256 bc50be81dfcaf9417412e23b328fb331a61093fae7b5dcedfcab9637ac65814a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 888a71ee47e037359cc6ddb6963daec7991dd261f15a26ded621badea3f2d600
MD5 4f6a30c6e36c07090048878245e433c4
BLAKE2b-256 a0721fb70923725199fd75f6b022aabd6cbfb104808eb9c496a9c48255d527dc

See more details on using hashes here.

File details

Details for the file spectacularAI-1.31.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.31.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 82befe029710c7392d40716be855789380f15ec240dcebcff5e0ce8aa2d802f4
MD5 756044f2894880327c33273de6256e80
BLAKE2b-256 cb5d0fd8a651081896b7573e6dc1ee986f58e7eb4dabd98d4da281944d51238d

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