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

This version

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

spectacularAI-1.16.1-cp311-cp311-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

spectacularAI-1.16.1-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-1.16.1-cp310-cp310-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

spectacularAI-1.16.1-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-1.16.1-cp39-cp39-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

spectacularAI-1.16.1-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-1.16.1-cp38-cp38-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

spectacularAI-1.16.1-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-1.16.1-cp37-cp37m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

spectacularAI-1.16.1-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-1.16.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d35e601a66862329a747cafd2feef1e4ff9615e306274bdff7aa0f5aec000907
MD5 98904b7004f8222dabbd98b6bbac37a7
BLAKE2b-256 9367158ac92d1b0860a0a02bd8cce1a55078afc407d8c0196e4facad379cb4ba

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c27880c19e13e089f0f4d7a66416c70dfb68c6ee7e10dffcb2fbab8611e8f4f6
MD5 045c565f0abd12c37447cb6002066b05
BLAKE2b-256 769f40c8e4f4837fba3fb6cb6eda0e9a8d6a42ffc949aedbc3f7d012d9543e06

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9cca925418814649a955be3c8a1be6d1aa1872d10a6ee7ae664a103e03256842
MD5 115a7dd937e44b409378064717429d21
BLAKE2b-256 574cb8472f5ee0ea45677d3d80d1e7c27353f1e4171232ae29761fe7c1e169fa

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cb4707d4396594af37c7c0287e1b67d92bed6d9b8a0ed0a1a53a93e5eab9efb8
MD5 00d8bd38bd1806d07a60e172fa5747ad
BLAKE2b-256 cbe94233715106618d28bc08e79bd7e5db5fa9a22f4e1804ed8a1fa70205f6fa

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3382e7c38f9f853f993dc4b01e61f9451f8ac36a02c92976978275630c994100
MD5 b87a11d3f1f5c57e4a0476e20c95de41
BLAKE2b-256 625bde84e2cf88cc705c76b901995ca5d2b9c86b8d598b27937064271594159c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d71164bfac666a322434c0e5d2a0858fe70e567da0e9d6b7d3ac1fc6bdf8bbbb
MD5 85379ec8b2cb42d33d111d7a5d37e3d5
BLAKE2b-256 7134716c223436b196539ed00e5c909d59fb76122a2d22c8fee2219fd5f09356

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 43b66604844fa05c70fb937e8c16bc3c9c1fb00010e6788c71ec0f9fe1f93700
MD5 f37be26b88d7a06a2a28f7a3d997d5c0
BLAKE2b-256 2773941af2619516a714facf4d9c02667c843dee8b2fab85939db61d63d6db42

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 865d8e82a354c229dbc64323dbef0f8feb2555cd631146f6d492f21ec6c882c7
MD5 8ceab6553abd47ae14e99712de2c0b80
BLAKE2b-256 f19e1b8f516b7ce11affa776a0b189330775424dd42df1db2584b520db3f34bf

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1a5af96b8d4415b75271ea718dcd0c4a265cd56cd9063285049d84822f811a93
MD5 f2cf159b695a627b69fa4a31003d2ecd
BLAKE2b-256 a5e9199ff159f4124bfed42c043cc91a8f8f4aebd3191e52a3fd7b280afae67f

See more details on using hashes here.

File details

Details for the file spectacularAI-1.16.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.16.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 98e42f8e02328c5047c36e1b8e943bcb41e5eebcfea5f6d70fe096deb18490f7
MD5 ab55a4242473a81606ce9f1031c0afae
BLAKE2b-256 c5836013431898c137509b48507d07c6245315ec83ad3e0878acc1e4990dc230

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