Spectacular AI SDK for OAK (Depth AI)

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 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

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

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

This version

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-1.18.2-cp311-cp311-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.18.2-cp310-cp310-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.18.2-cp39-cp39-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.18.2-cp38-cp38-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.18.2-cp37-cp37m-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.18.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.5 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0e84df3c5bdb1344632e7e9aeddcabdfd9104d91f43e576478f047baccb6eb16
MD5 9c8a458b344da1394c736d6bdc4e39fc
BLAKE2b-256 dbc902e127c951f453d10bac286c5ce3c931a50ecdba13f890697d5b13a31267

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.4 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/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff016325dc7ea226645b81569f2a77f276436ad5eed86a6c73a7057aca9cba9e
MD5 6b9e02dd14816b61b9df4e734607014f
BLAKE2b-256 3b095fadefdb435ec71de3f459354e319afb0b097e7db7b815e4f9e6e62a2467

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.5 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 434f1c269eeb2492b94c8971c664ccc4290af2f96af45d60420b32d6071e7b20
MD5 04c3dc87d010d129801a7227df288d0f
BLAKE2b-256 b6c9552beb3efd0c96d07718d821994ae9c61e2ba0639b8b7f4f2c419e8c3a95

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.4 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 017f97bf2a65864c613a5f64e6d35105c63c29657a507197ac432f3e4cad65f4
MD5 066da11bbf8a1618f1af32da2f4dc483
BLAKE2b-256 f1f164eecad916de681818b9daddf2ba830e7f48787cb7390e971f72e8c0075b

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.5 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 68cc778bf379913746a78a37b2a929c176bdcad8e2e511c8e9cc565b72b49358
MD5 0fe44e5ac4a18e179618dfab7cd32940
BLAKE2b-256 2e237d51fcdae0efab43903a67324acfd624d3977082e3b14f03d64ad4c0a2f9

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.4 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 346ace518040e2b170684a2f1051f6ffd20dcd1c5374afe05ce4641d495086dd
MD5 bc3e0b0d9068305bd973111000297d50
BLAKE2b-256 547e6bae42ddd48d761a44e5b9d1626b4bd21248e6b0acd4a0e7be5609903f7b

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.5 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 dc9bd143a9ffff23a325f7afdd4818aa0e259b77e3284a3a364f68884a57f7cd
MD5 a908420345330fa10ff1e274da61b072
BLAKE2b-256 76fbf407c51195c99e0c53878e5d7f79ab43bdc1b6d10c1f58716afd0296129e

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.4 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9bc31394a2063b60fdb2bc35e0748752a6597f8da11a45e230663b1af1937492
MD5 0a14a077b318ee5b472fa8e56ad9b46d
BLAKE2b-256 2191a5ec992c32401cd02ac1268d9ec8681b124416592a40e9dfb2ca61ec6346

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.5 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a0cd2cce5fc21d89acf2562b65e429305d65dbcf94bd0e8688a8bbb0d3228c83
MD5 bb1ae6428de07ceac520faa9952fb7db
BLAKE2b-256 f470c121a69c48a70b90a8f1259d63cf08cc8ce9c701dddd5cf943d414b28b73

See more details on using hashes here.

File details

Details for the file spectacularAI-1.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.4 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/3.10.6

File hashes

Hashes for spectacularAI-1.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 04ecfa5229eca399c4b23b0dfcca57b747a44cb038d6c9fb5319eaaa34e01a15
MD5 79c5da15843a199c289bab37d0b6ca6f
BLAKE2b-256 fbc300b55573e4c357954a282344060008bfed993f6303d40607cd3091b1bf3b

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