Skip to main content

Spectacular AI SDK for OAK (Depth AI)

Project description

The SDK performs 6-DoF pose tracking based on visual-inertial odometry (VIO), 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 (C++ version), 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-1.2.0-cp310-cp310-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.2.0-cp39-cp39-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.2.0-cp38-cp38-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.2.0-cp37-cp37m-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.9 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 007732a702ecc60e7fb5d57f29a3f55a7bda2c08be892ba2799560415c1d74ea
MD5 f2752091270389005fa0f0d4c781872e
BLAKE2b-256 ddbd8b6fbdc946dfcdff127aa46914c7ceecb523bd3277fec8e6e62952993124

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.3 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9e0dff645356e5df3e8f37b1df7c572a21aa801e97b9aef4e7db30c2a1e3943
MD5 75481dedc2555595dcc0300d8b6ebe49
BLAKE2b-256 b4e1eaca2d6bfff6b5cdd642d56be96306c0b2797ea2d632906a7f5c61d188ad

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.9 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 76c1f599dae3a7cdafc3a30239bcd8aef27d9d4493cea1e918c4446e859214c8
MD5 4f72201b7b5052ff6e7bf1a7b4fbc66a
BLAKE2b-256 d2a4777976ea17a9ebf87e1022ef63d113136c7565b5135b79d64ab7057b2f70

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.3 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c67b4cae13a0afe2c055c8b94d9a6559d50d24270cf6b2ee2aad6c91a6053590
MD5 9820288a01f7d68a71879597f1f3cfe4
BLAKE2b-256 6ae39cb2ed4138b596946ee9afe43da3943e9c6581b4a901bfb608a1b7f619dd

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.9 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 821c96d83ce144cf4926be27bb47075144fbf1da62ff487e8373ff31406187cf
MD5 02e1b5180eb9bd9d280331d0ceae07c8
BLAKE2b-256 448f34d55a41ccc0920fbefec1228aae80815bc48850da311cb69f3fb512d0e5

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.3 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a0ba6286845a712fd1d9e13a53d854eaf371a21906bd5cd12ef3b21e5552cc1f
MD5 ddf0406231dccd08d503aad3a37538f2
BLAKE2b-256 2495c7af6b2699a8520b1edc1c77f46ff92fc09759f09fef1b4d27a10ae98204

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.9 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 cf4a84aa71ee046b95f55e713c797ce4676057aedc3550a2c90324b901511b16
MD5 7005b163b8f5989506fe2f4cdbd93eec
BLAKE2b-256 05dec263c3d605c87212601ceb714af07d9edb6d738b11204fa17875102f736a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.3 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.4

File hashes

Hashes for spectacularAI-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 38f8d0f43ef42c8b03e023d1c8c6d6255770b0be2f0c7a1c6e1613a8b383fc5a
MD5 b6a2ff9b384ae5ce905e2815d6f031a9
BLAKE2b-256 e7fa40c3fdcb94c22e2b231611a165523ae1b7ba7f791a9235271d40dd391ea2

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