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-1.1.0-cp310-cp310-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.1.0-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-1.1.0-cp39-cp39-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.1.0-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-1.1.0-cp38-cp38-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.1.0-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-1.1.0-cp37-cp37m-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.1.0-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-1.1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2c776464894338afd790acf285ac268c179348451470bc5155046c82352a5bbc
MD5 20413039388a189f764338220a817e31
BLAKE2b-256 9bddfaaa8e1d110beba61ed8e74fae372063b63c81bdfc99892fad65dafe7e6b

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1762d785ddaab8e47ce1db120c3dc6cd0df379b42cea63a267cf2c08711dc82c
MD5 775114900a1ab033dbfa4382b1632ed3
BLAKE2b-256 800ecde78206ae3d61a9c21790106f37d125d7a13264f50078a5837be1ee43e9

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 772556c8e1cbc0af0f08fd59ef09dc1891ba40c3bff1fc61d7d9e299ed8e79b8
MD5 f3f92b47ed5be5ebf2ee66f22c75f6e2
BLAKE2b-256 21c35478b3661007ac01abbad56a57cf770f070b4e01fc4c569f729a80bb8534

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 45086f572bdf5fe2a82b86c46c33ac3498baee65a55aca5edeb2d43e7207b9da
MD5 024b550e1671447d2d1768b03567164a
BLAKE2b-256 49468bb56db59e005534bb457f0223bef36fefa214b5ed4394664114e1f6c30a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bcb94bdc92f67ed8b7f0e4729a832a06f59029c1586167c16929ecb3ff992f90
MD5 ae9a9652575e1c53046956bd68638102
BLAKE2b-256 dd3cbb6c095eea193508171aabd170194d22cd5a7598d9df349aac0fea0630b8

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f214ba0b5309a47dd5abbbaae14bea791094becf03616345da6e5ffcc969e3be
MD5 64cd6b02a13c689c9797fd5ad13fd0f8
BLAKE2b-256 5588bbaadcf538282ccb276ca6e7f810aa9e18a1852b9445873a8edb2f6b32d5

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1570709bf22638250a206327f3ef8d6bb69b643fe0621c3486ca0ed3477d4f70
MD5 9f4020663a635af399661df7a6f81c0b
BLAKE2b-256 c50f1d935215726799ba3a7af23f02f2594b8b8b2e062b31e8e82d4ce96ec755

See more details on using hashes here.

File details

Details for the file spectacularAI-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.1.0-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-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 24962c2c886974b2169fd54aa7ee69bdac98010c136d0fd940e073af02ca61f1
MD5 b2410ed3a122d6c0135ae56316c1dbe7
BLAKE2b-256 f159217052adc0dd6175b94dbfa8dbbef158cc76063256a0b6f5e81cdcf4bc31

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