Spectacular AI Python library

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
  • Provides-Extra: cli , full , visualization
Classifiers
Report project as malware

Project description

The SDK performs 6-DoF pose tracking based on visual-inertial SLAM (VISLAM), 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 (custom devices), 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
  • Provides-Extra: cli , full , visualization
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

This version

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

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-1.45.1-cp312-cp312-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.12Windows x86-64

spectacularai-1.45.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

spectacularAI-1.45.1-cp311-cp311-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.45.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.45.1-cp310-cp310-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.45.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.45.1-cp39-cp39-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.45.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.45.1-cp38-cp38-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.45.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularai-1.45.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.45.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 93ae50afd3f3fd407de2ac246441af33679b550979bcfb60cc489e72b11f5f76
MD5 04e499580f85d99f28d84b977ea1633e
BLAKE2b-256 1bca6bb2acdda33e14a337853ae823cda15f4df958cd02f52ae25734bdc74392

See more details on using hashes here.

File details

Details for the file spectacularai-1.45.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.45.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 4408705ec037c5f478d5a22c373a829936040beb3fd80a0af0de7e9bfe8326f0
MD5 69cb996acca4d7d5086f57d94fc436a5
BLAKE2b-256 68bceb10588651f18740a9711321b6556130fb300f0626e1434a7d3034264f13

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 925f3db1ec4ac6d8dc7b8cd6138fdc8c703f88e59c38d0ea9208a2a7f74022c7
MD5 41fcbebf88f7a8d76b758251f62d3aeb
BLAKE2b-256 6f36975c171ee0988ba2774beedfc27547b118a58dec31ed949df7b4e7009f1d

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 9b4312c7551e1b2c49cb4016d8fec6631715c3feceec7425756827fe06604f56
MD5 38cf2c2d1fc62b43f0082ce78a5a4af0
BLAKE2b-256 8590da78873403e3d772d9bdb52fa953a05906a0311c0e8eaeb4f4bb400bb33e

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c40929d607a46e039666c3a3d232b495667b70d37b10d9a6daee2dc2235158dd
MD5 e54fe9139a891a7dde3f1df90687f0a9
BLAKE2b-256 d3e1cd066509e3502ffb7ee1b13ec0471c41e469ea2f3342d37701748ff30a1e

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 d464f54ee0b0c4850324f03fd9a5dad079b55cb69bf9806f28322d51f7cb2dfd
MD5 6fcf6817c863b9dfcd76524f8fa7f8c5
BLAKE2b-256 e10622dc54947f329ecab36851777b5f710b5dffc86be708c10ce815ccbb6977

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 eb4af50cb2536021144216eaf7c071b735bd9e338dab5cd5f692868e798941d7
MD5 99b805f92ee2e27f1b963333a5458994
BLAKE2b-256 890669cfa4337f6d1ec547ca3a52ffc43d941230196bb49360a5bc6c5c1bb8c7

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 ba89424de8460ee8a3af52a7209175c04ccce8aec93eeeaca41ae46f34cbe8fc
MD5 de76633dabbff399ff6af4b42247d629
BLAKE2b-256 e6937eb71b36df6f7f6f9fa49105ff0b6b969ebe78585018579f2770af93f69d

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 303099ae447e2642c74156dc42acb0fb8f483185ff8a479cd378c23454ed3d42
MD5 a91dc570019b3ba451dbe2db52a4f8a1
BLAKE2b-256 8d4954c27134faa6da39542a047b2cc59b82b8efb74ff0fa71842f033fc25326

See more details on using hashes here.

File details

Details for the file spectacularAI-1.45.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.45.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 0833ffc2fde9bc5cb48df8ffd206846c2a7c96674281ec8be21d8407b70356b8
MD5 ab01e734218f5d69d4b6172e83e40127
BLAKE2b-256 f69d601c97d1f9f74997e468e2180e30840fcb4a6c2e2d059c13389f73aac1dc

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