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

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

This version

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-0.12.0-cp310-cp310-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-0.12.0-cp39-cp39-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-0.12.0-cp38-cp38-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-0.12.0-cp37-cp37m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-0.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

spectacularAI-0.12.0-cp36-cp36m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.6mWindows x86-64

spectacularAI-0.12.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-0.12.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-0.12.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for spectacularAI-0.12.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3b4eeaa11f798c97faa383329d262932335d4e34fc6b80b30d56bdee73ca67fa
MD5 ff25e6bbe8d5e80426639d7cd9f613fd
BLAKE2b-256 e93461d4d3e7b678f949012bd516d580c70892f8ddb778853368d6053e81db4b

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d25590d8e3c4d51087ac31e9360e510a87997a470563da4c3ffd2b95f8c718ae
MD5 124b7157876a97c8be4e907a726cfded
BLAKE2b-256 7d3e8cb718b1571c685b3326e9a5212f6e9428cb52705912d9a05c2fe52280e2

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-0.12.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for spectacularAI-0.12.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b84ac8e24118f8521970a9d05b9a560c3c01cce80a84515bb1ef2e271331d24d
MD5 12fc98c692efe12e96bd5d4671953b17
BLAKE2b-256 1a78a4d016e44fb61ce2d91207879d81f437f2dae664cbefd0db32ff57b75023

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5282da95d423b6a6fe94fd2f0e2216e9d5dc2260838351175c6b9e23c0039df3
MD5 9329fc4d8b8f978a79f9b4d92365da04
BLAKE2b-256 1f8fe00d0baea9522cf8dc5f42f74a62c0bea079a5b71699b5564f5f7ac1e4b9

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-0.12.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for spectacularAI-0.12.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 47565a535e140c70a28270af79526a1dbfcaf4a186fdf0508875665864b259f9
MD5 d88c26566b1e9f3ade51f8d483fe1803
BLAKE2b-256 ab55b870add5bb08da001791a8a2b16af7fde5d0093732b86435c84f34945f8b

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3a8763e4de3420eef939f4f837a0a6697901dc5429a53e0f9ed1c5e322ae7f24
MD5 295dcec3153208a6c8e2ef943b5a5c4e
BLAKE2b-256 c17d2a2931bf35e622a5164998223637bfbfebb57d86996b40dd268265ea786f

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-0.12.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for spectacularAI-0.12.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c7267958b6e387c2e6ec9b0d2549540042c3d5d79b29abf1952124e08977d3b3
MD5 1e017c1873599f41399811cf19a05453
BLAKE2b-256 06bdd211209b82d0513afba172de3390118b1086438467befc4d053724a6b9d8

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-0.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3d33a1ab1dd5eb2c1c2a9b61a7bfc03c767b7a663ad2da9f11656f93a05640f0
MD5 7e2cef26ded930a3d230464fca375009
BLAKE2b-256 54836059d4005638a6955407a3e776a3f5dfeb35bc78e9de099a2193c5bc4ac5

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-0.12.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for spectacularAI-0.12.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 dc2b7c46eea80dec5058529f927f5c91f94108625c9b273b791fab702448393f
MD5 b866ef6f682942a39ff02faa7edac3cb
BLAKE2b-256 3e4ce84faa08323c9c4e7548608eeb77d35fc8934d4ec0b16e603f24729366f6

See more details on using hashes here.

File details

Details for the file spectacularAI-0.12.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-0.12.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 433997a12c8ffe6d4755ca612d5a05501c4695b874ddba8ebbba885881058679
MD5 62880ef9c96ab3c2727d628c91ee33b3
BLAKE2b-256 3e786a42a731cc80632465417267b2a3b0543ab33230960fb2c6cccbc3db84c9

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