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

1.45.1

1.44.0

1.43.2

This version

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-1.43.1-cp312-cp312-win_amd64.whl (40.3 MB view details)

Uploaded CPython 3.12Windows x86-64

spectacularai-1.43.1-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-1.43.1-cp311-cp311-win_amd64.whl (32.3 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.43.1-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-1.43.1-cp310-cp310-win_amd64.whl (24.2 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.43.1-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-1.43.1-cp39-cp39-win_amd64.whl (16.2 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.43.1-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-1.43.1-cp38-cp38-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.43.1-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-1.43.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularai-1.43.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 fee13a750613e75463c308b65d0b6d3affeaeb522e91cdf455af5534119b8fe6
MD5 d4048867bd7b6dfbcf16fc8d29dcdef6
BLAKE2b-256 43e79bda5368efc26b48f1e05004c9c8505ee8f510fd359fd6a30ccb7fd71e4b

See more details on using hashes here.

File details

Details for the file spectacularai-1.43.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularai-1.43.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 326689b41db6bb7bbb9eddd5b78b16aad7a0918f604c0b39636dcaeabcf1b1bd
MD5 a3056d0f76932d73c20dd27c9e939500
BLAKE2b-256 931606e349529787d649ecfe99ae57419cb5ebd140e4c024f29f40d41cfbf6ea

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 141a85682acc53438d6f6f6ce94d8a6d391d8f38dd255552cf9599543f0415b6
MD5 51b5cb17595b46f67da442b03bf5fe02
BLAKE2b-256 6919fd5efe37c3d0925fce9d08f44cf4c79dc607897853bf602c2445defe1bb0

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 89d32d447eef0e369759f4dc056c8f4ce5bcbb065cc126769c8cb7b8bd8637a5
MD5 44ea5d0750bea5411eee332e930cc430
BLAKE2b-256 105f40d2ece16cd52e1a054e7037c61f3ac32c63eba2a3acaf46dfb34aaf3fa5

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2292d4e2fc79bbbb2a60cefc2566838d1543f135a3ce76654c37f11037b2d5b4
MD5 62e5db8fdfea4b2d57581ed3b170bf04
BLAKE2b-256 dd3237ad82e078f01b8544bf48bac30390d2db2aeebe91ce84958022afda2c81

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 db69d8ce2573cd0121cfa5d341657603726211cc40accb0d42b3137c32814de2
MD5 dbd4cfe84465cfe888a6e86a4d79dc2f
BLAKE2b-256 a0184dbf52fa6998209b67911c5685834a3f648d9fb11c77487a4448db998cdd

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 79d42ecb1babcf103321f469153e1db3a0a60318ede2489056df8ed28780b91d
MD5 8d6706799e76e0b7d708aca7e3b5c5e3
BLAKE2b-256 094ac6af35332a6f7dc77c26d74ceb5198139495cee56e3b60c687e92cdbfd7f

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 f47bc9ac3107990398b74bfdca0f29079f6a0ab15a846071556bc822a41e9245
MD5 98fd79bf559aa9b2bb1eb9b040cc5695
BLAKE2b-256 5255be87ff8b5899f6ddee7f391680ff3aab7a8b313c2b62f610299177f46ad2

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8ad7874f72124d6311f246d2be30242d6d8af052dc578484c97818b2ad5f9e27
MD5 1dc07c31f101a1b2311da0a1ccfc1f5c
BLAKE2b-256 6e8793971c0ee5842f5a0ddd3297dcd9b7e082bf77c66ee2cfb0c6fe961c61bf

See more details on using hashes here.

File details

Details for the file spectacularAI-1.43.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.43.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 83c69d4f3539c3c82caaa9d437a063d3daeb68460c727f00feca3127cec38367
MD5 cd36a9c33c5bbd3f4811fd226ac74c8e
BLAKE2b-256 39587cbe41ea9e78ee87576179422e38f34f24cf592aa198d641056a5a8cbc07

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