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
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
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

This version

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-1.38.3-cp312-cp312-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.12Windows x86-64

spectacularAI-1.38.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.3-cp311-cp311-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.11Windows x86-64

spectacularAI-1.38.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.3-cp310-cp310-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.10Windows x86-64

spectacularAI-1.38.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.3-cp39-cp39-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.9Windows x86-64

spectacularAI-1.38.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.3-cp38-cp38-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.8Windows x86-64

spectacularAI-1.38.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

spectacularAI-1.38.3-cp37-cp37m-win_amd64.whl (8.0 MB view details)

Uploaded CPython 3.7mWindows x86-64

spectacularAI-1.38.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.38.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 3.12, 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 65d448294b85d78b645f4daa053dbd4c6321e5e3e2889c7f96be8843aa1a4703
MD5 300417e84c45a935916e26c10b0c3d24
BLAKE2b-256 137f97208fd00701ef3847a5bb23543c39e2fe69e9b47045fbcd550e1beed107

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 MB
  • Tags: CPython 3.12, 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 48b7fe965bdedc8ebf95c65db0fe68fd0f0a36a5d1be5439562dac58d5719059
MD5 1cbd3c56445f9d38542282dd1e0e4801
BLAKE2b-256 011c7feb07c1032055e4973bb137941619ecac94ad859d6fd014fd7d96ccbf3d

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1c57d8ff58606b8e6353d41d5327b8f06776ebfec490ff268eeb89433ebbe567
MD5 5e3c0fe51ffac5966272735292bcb784
BLAKE2b-256 6edf865dbfdf540f01e64ec38327d60f3cada2e3d3e54def45cf960f68b997d8

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a17dce44e87b20769e50e648e8e08f2d8d796a05d81eea453a7908153e36297d
MD5 79c675f4370f8d9b8f905c220883b1ff
BLAKE2b-256 660d082cdc02e85ff54b0311a9c579b2641ccb922cc9ebb72b6dee79109adc98

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3bb87c7e26cb7788bcb6f566b88b39a66c29700fa7c5505458b142942f0c7188
MD5 624d148ad8177d684e439f0f48586917
BLAKE2b-256 2abb968e5efc63621f9520c28841a7f598b04b18ec05793763f24305791363e8

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 182b98f47a08fb8816babe16bf7e47984ac90489f9b0fba756155beab8feb7a4
MD5 da18c0859ba3069099050fb57f412ba7
BLAKE2b-256 18a32939418edbe43814d585f0226d7801031132f5cafbb1cd44918d54d01966

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3dd92613f7e6e1ed24a8a1d8f87c6f0e787cd0d5fb87dbb49dd3f45a148d03dc
MD5 0636fa9a8002d50686859fb2d6873d70
BLAKE2b-256 d5782fe38ebd55631e8fdc33373ea92038cb3de92e68c9dfc1ef77bc4edc8f8d

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 33001b646677eee6e308afd64849477b775efe88f32a746c8c5fd800c4723923
MD5 cf19cfde2c196ab51ba7917d5aef7363
BLAKE2b-256 1eafa57c7c04c3751bfd2d32b7f3da8e5697238ea733ea0048c8279f5d8e0025

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3005b60e582851093d227892437690fa2f85035553ee3e578ba4558efe17b389
MD5 04f613b90c8538442aaa43451135707d
BLAKE2b-256 4d44de02fc57b19541c6d2bbfab81c7982f6f8ab8176cec06a9407284d002f9e

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 257d5a88573a0875a094c3f67b937277a0173af6ace2ccea9376ba2d252c2392
MD5 c5507cbf14f247eeeb567fd230e1c15d
BLAKE2b-256 df022173bc169ba20d945b7b74b880846f94b16a07ad4f65f8b3a15f07329360

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 8.0 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 95f9f1c43fec39ad91b213aeda41628c03af6ef757e3cc9cd72147d3ee063c91
MD5 40ebebb3c11b04181aff469fef133c98
BLAKE2b-256 fb3f2a939ba3161b2d5f83438067be5197d608999953299791800f81d6302369

See more details on using hashes here.

File details

Details for the file spectacularAI-1.38.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: spectacularAI-1.38.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 13.8 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/2.26.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.20 CPython/3.10.12

File hashes

Hashes for spectacularAI-1.38.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cf3373c3f30e85756bdd33feb99246a5a9fbaeff682c6bd7674645dc162de535
MD5 498b0ce35824449427b414cf9dc9196a
BLAKE2b-256 f647758972c8efeeb36662ebaf0297b48147438fbbea34053a6edf44688f7e13

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