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

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

1.37.0

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

1.18.2

1.18.1

1.16.1

1.16.0

1.15.0

This version

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

spectacularAI-1.14.0-cp311-cp311-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

spectacularAI-1.14.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

spectacularAI-1.14.0-cp310-cp310-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

spectacularAI-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

spectacularAI-1.14.0-cp39-cp39-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

spectacularAI-1.14.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

spectacularAI-1.14.0-cp38-cp38-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

spectacularAI-1.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

spectacularAI-1.14.0-cp37-cp37m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

spectacularAI-1.14.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.14.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.4 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-1.14.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ccbc235f96664ee12217476b9357657a1e88a1817a7e7e3b0795856f8fa41aee
MD5 70f0cab776f77dacc6f5eb9946ced18f
BLAKE2b-256 67aa35a7dfd8a693842b630b78966b35cfc20f83a5a1aa87f522ee06196ec51a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.3 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-1.14.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b128c41f39b32cba8e4f39f9cfc88f60d4c0b197a506ba25fdf52b1589047e8d
MD5 d08b9d27588e85fb040fe6837bf002ec
BLAKE2b-256 403c3eff0a4ab344d23a9fe7505bc2ba813b566301451231089787a7748a421b

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.4 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-1.14.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 50113dde376e3b5f35a2512bcfca80b23c41a4c3a803676b6e480e5a0a23cec4
MD5 246ee0b4107992d36e1ab3e1fc74190e
BLAKE2b-256 31c4ea9d31490e1eac280820838e23c4c19244bcb2bda6580df93f50b3ae7d46

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.3 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/3.10.6

File hashes

Hashes for spectacularAI-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c5bfc9178f7f03ceb19e77d50ac97adc4a33b792bcdf4adea52282a256d784f4
MD5 6af60afee322ce068f8df754f1689de6
BLAKE2b-256 179f1a1866a769d33afd3cfe69654c929c6339ef5c0504414535cba737f814a1

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.4 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-1.14.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e4d23835eaa909cbdb1df94bb8b44a718aad3acfa545cbd0bd3e9f3f4f642460
MD5 64eda259372accfafc35c5f79adb43c2
BLAKE2b-256 8d49880d50cf23139d387a1665fd46f8fdb857d30bd1728edfa97f44c637299c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.3 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/3.10.6

File hashes

Hashes for spectacularAI-1.14.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fbe49bd3dcded556de8510e69eb1d7db4d5f47836c5b4cb62878a928b34358b5
MD5 1dc853628c7f690beb33a38c142de429
BLAKE2b-256 25ee5d8f61e236bdc7aeab35372268d2be741906cf258f9a93728cdfac81b58f

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.4 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-1.14.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0c9fb63e9c640985b4339014edb250c1076b63e208042f23fa75d6fc787e7173
MD5 42ca2cc2ec33dd5dcde906873ecf8793
BLAKE2b-256 32b9630055b833c745bd93573294fcf369d3280a2ff39873a9c599256ab64142

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.3 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/3.10.6

File hashes

Hashes for spectacularAI-1.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c9e2cf9f4095f2c5a248d0a27c19e61c010a06c4930ddca12d1009e3a75dd794
MD5 054f28708c6e9c0c54936ae0e72bc1f7
BLAKE2b-256 2a741127e42a7f41e90bf304b0ea31f55129cb8071fb48d461539d4b93f770e2

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.4 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-1.14.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ddbcf50523f8dd17d4e93c7de5c7ebb238066ee211ea8c0f5c71376fb48854c2
MD5 cab5400e84919ce0677b3782a3ede684
BLAKE2b-256 2a6bda27e4aaac4d13596cc7ae468039ec538bcdcc1d250e15351c3813c3bee4

See more details on using hashes here.

File details

Details for the file spectacularAI-1.14.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.14.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 11.3 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/3.10.6

File hashes

Hashes for spectacularAI-1.14.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ca2ca97f96884dca6cfa97e2289072babef63dcaff4705550fe2bcf3724bed25
MD5 181ef9795263bd49ffe4771dd15710b4
BLAKE2b-256 91e10805a4ef42a9df4186743353ce4bad0d2d08950c27141e659413f50c7e42

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page