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-1.38.1-cp312-cp312-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.12Windows x86-64

spectacularAI-1.38.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.1-cp311-cp311-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.38.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.1-cp310-cp310-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.38.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.1-cp39-cp39-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.38.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.1-cp38-cp38-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.1-cp37-cp37m-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.38.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.38.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 3.12, 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 380904bf2daedb4fc2c80d83a04f5edd05b1c83d7a3c8e03d295080ffc057f39
MD5 ebf9db1d1d7e22e2214ba3091bbf37ec
BLAKE2b-256 175c0feefc4ea82ed529ac64e2e7eccf556701ee33883a562eb975033e14d952

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 MB
  • Tags: CPython 3.12, 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 70428a421ec7acc1c54fb9f4e698995ef285bc5471c7bc6ebf0d66dd26b1a76f
MD5 3061b7598225b010f69a193dba37f761
BLAKE2b-256 1a14343b37194a8a32004927e0ba7b4dbd61bc6de1afa051b433b3cb8009fa84

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 fc7f5fb34b7cc125bfaea97e6c20a9945a57ca654770ad61fb93c3da22c1567f
MD5 dd681422dc81a13ce7a56d621590a9b7
BLAKE2b-256 835345eee77dd18a87bbb3db3dfbba02233ad97af50361c50cec921440692804

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 576eaf0c0c19f080298e1e87e4e83399994ded92001f8767a57942e81d4e5822
MD5 ff791cd4a9c638336bc9b99df1bf8214
BLAKE2b-256 998aa4f578cdbf9c4f7343786c0ee6fea4c73ba2829af72e33070b9f60f25467

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 74b1821b10da70720041dc12fac4132f0d526d4cd6ee71107f42e9a31ed8ac9b
MD5 c6897b0c35c2b37007e29b2713dad8a5
BLAKE2b-256 eff6da0d5ce550b7cf8cf0548f95134f9579851f09fca0b90bc2b88799cce5a4

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd796a7ced3534e7a1326c19536a4521c92703c8f240af8c88e818a5e592fb62
MD5 c6f60b768d63ea34bbd3637cd6f50420
BLAKE2b-256 23ba75db69fa294e349dc4ea5366ab211404f195b8f4be2a51d402f1ff199575

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 118ecc994297d5e27b8d33d141f8367ba2ddbbdec7062e57bb4786b08848fbbb
MD5 c4dee47ffcaf1158ded5161a89d21163
BLAKE2b-256 7e54acde3eb82c80436215fc44122d70b66ee0629c1a724a75a1b1c745171255

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 defcef99f330d80db6ffaa0b1fcb3d0a139a1b99ff72fe00f41a66f9c440d3f1
MD5 0132459692afe2abb28f98d20d8f106d
BLAKE2b-256 a60cb13af86e97c10c5f3e98ea8a528fd1f9ece9b1ae14d759747d551b634d57

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e89fd1fe70ba5c65439d3788f095e629888f9036ea0366429b1f5602a95c5d1f
MD5 febb212c509ef9c8b4461a0bbf838f67
BLAKE2b-256 942b100de0ea201e7391647f6684ba80f3535cf9638329ecbd886d4c5a58fb45

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 94d6a14f3cfb0c12f517f46c223523067e1c9cde82feed844084880a58095aeb
MD5 28f49fb29930bf1fad71ede660928a59
BLAKE2b-256 1ce9dfb8a5b51cf1c43f7134fd281736246d91a4ca789a7bf2f30f698655573c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 2b5138033c2dbd7a0108a8ca0af5cd61e6b2f257ca30505079b1a98d0fc26311
MD5 f9f44cb0cbf4396b72ab88116a3b43a9
BLAKE2b-256 c6959fac35ee52c346d542b52aed8a93feaa426ea8226f7c32ef15635e01c778

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ae6618051ccb53acc06a806bf6ec65febc08f693b08a4e1784e004afa3c44b8c
MD5 7d5156d46fb48c2d0cacae1e9f3a6bc5
BLAKE2b-256 c792e66509d6756452cdb0b44348149aaf4012a235bd7de0aa5cc151dfbb2af8

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