Skip to main content

Spectacular AI Python library

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


Release history Release notifications | RSS feed

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-1.49.0-cp312-cp312-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.12Windows x86-64

spectacularai-1.49.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

spectacularai-1.49.0-cp311-cp311-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularai-1.49.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularai-1.49.0-cp310-cp310-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularai-1.49.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularai-1.49.0-cp39-cp39-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularai-1.49.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularai-1.49.0-cp38-cp38-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularai-1.49.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularai-1.49.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 c4eef87d2448d5ce753d9490c5b59259f45c161faacf242d9f402a2834a8de61
MD5 f2a42798098bd48db085dd739e4cfe08
BLAKE2b-256 b66f35ed84269db48a5431477d51d4cc0e95fa578400d70630d4e0d47cb4e88b

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 86ef86ae8bae41f2904e65337ea1367a6444616544ed98256c77b7b4270aa19e
MD5 96433b82e56d7cc9b46e8a7382a3f22b
BLAKE2b-256 a69b5b75e0705f19e64c06f03c2502c5c68c81c2e6e226a96c87581862f6c15d

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b3b400d0201166c1d4b2dc54e8440ba144b0c77714555b0ea3978f4b1505412f
MD5 2faf186289ed6486211dcdfb4362c00c
BLAKE2b-256 98bb98f7d752aed46e069cdcf439a9b6bae5a1dd96c7a7e272b724682195133b

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 72200e4d81110ff5e40d50bf4ec971e62f58001170da97229a8ffd61769705a3
MD5 47b0decbdacb49ebc4b0a55040bd55e4
BLAKE2b-256 3bd0706dd2f2428ff0520bb8096601daef2a2c4a434df9b3986789362168f108

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0c48c45f198f21ef0718692b9eeaf2f2e1b0bba083eeaf8801f2f899d6137630
MD5 ada17b4dffb9fec01d00ba1ea931f15e
BLAKE2b-256 87520dafc4326d298731f8161958d7c6f45e9371e98bf30bed50466ae0c2c12f

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 daaf61f8757031188a6e812d32b2cc860ac8e3b3ea2c30d5133264683130e2ee
MD5 1e7f8b5ce4537707d257c45ec527046c
BLAKE2b-256 528fc0906976b86f03afa28e2da1a4575fcfbb4fa4bc54819955c04d51c78817

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bc4a643628dd5cf3a762f6ea9aa0bf4e4b6dcbbbb35d5b0df65e335b2ce73f22
MD5 ad5888c7b637e369d0a0d90876ce1694
BLAKE2b-256 29e4752deea560a87c9cbfc04dd43f0f1af948ff0c39e16571e1de31cf9e3348

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 7378b11e7445e22179f8936a068c8c0e1d70c691182ecab17ebb537df563009c
MD5 eea62a5da59822ef43f28aa595dfb21e
BLAKE2b-256 33f9b6a44970e72ec53373a139377d8c2a72015a5b4fcac8ac06b59ab565c8fc

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 128e852d67a8738d9e9c7df6245c3db9d46867c2c61fbde433313af9701aaf18
MD5 922f603d892eb75188b47b485382b1e1
BLAKE2b-256 81c6f1d5ddf6996c1373a77955e16aea9f1da071c9fdc43b8e34a1dc899769b9

See more details on using hashes here.

File details

Details for the file spectacularai-1.49.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.49.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 f6f825ae94c7335c91ad35f86bfaf47b8fbcea686256a4a89218d6de29cb944d
MD5 e23b392ef3c752b06b6b01c83f74ab4e
BLAKE2b-256 699923962383323ffc05da19986b78b4decc1b38cc9d8090e3de2c3c02615a80

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