Skip to main content

Spectacular AI SDK for OAK (Depth AI)

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


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-1.5.0-cp310-cp310-win_amd64.whl (4.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

spectacularAI-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

spectacularAI-1.5.0-cp39-cp39-win_amd64.whl (4.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

spectacularAI-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

spectacularAI-1.5.0-cp38-cp38-win_amd64.whl (4.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

spectacularAI-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

spectacularAI-1.5.0-cp37-cp37m-win_amd64.whl (4.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

spectacularAI-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file spectacularAI-1.5.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e4a1179bbc6c9e7d074a681944d9c1239e20dab7806fbd5d7f0b3f46eae3f523
MD5 681e24e9fd8c5dd5292d750c3be8d979
BLAKE2b-256 b8fb8e6b553d7a14b7f8ae7438e7fffc10c854ccf098a851743e5bfcde929ed7

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eac132b5f89068aa746f2f82605ac8dc4ad7b6797e18c5a6050ad111649d89f1
MD5 d06c0d0740976c7be78450911074d37b
BLAKE2b-256 4ea925a4edc424435ad4ef9e894d71cdc7dbcef38975dd5a26bc8034fa815a7a

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7f11b99e6f5180a42d4ec549fd1e52d2a3169c4fcb231a98b64dd43eaae4e381
MD5 04be11966847bb1d5e41e79cdeac9ca9
BLAKE2b-256 7d4e108ca07edad97652715c9860208dbb4d7eddf7cf2de030bbc1da11878463

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7d761bc8c10f47ad7d3b56a97c8c59a19c07fdd5db000124a256db5f42356d19
MD5 df8743411e28c63e5e865b114d6cddea
BLAKE2b-256 173a3925e21555c334e99e3b2170f7b8db628c0c66459a47838f5aaecf6f89bd

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7f612493cdcccebb1b6560ffd0dd96e4a3a828f33d88f025c200ec21875e7996
MD5 973bcf05d32b52eddd5df5eb1069b283
BLAKE2b-256 e9930fdb01e9c09fc083e32f98e6353640478868efcb1d97846c3cc2d7dacc96

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d495e9d2432f8c6c8c013c8d6fbeee86b7c4072de4b69e082607d1d359a189c9
MD5 318d47ca9b531feb1fe481f7f9278ca2
BLAKE2b-256 78ff75ccf64a736de1369f39166efba5fd8de146c8042339e801e76706ede61c

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a986f265285250b8e8612731bd4eb11a8812914a23f9c4f4b36792bc6e89d53d
MD5 e2843d929c98eecad07e80703cb6fd01
BLAKE2b-256 753a8b291d9410fa065d4a720a71ebfdc342e8ea64128606b4fd27c55638a572

See more details on using hashes here.

File details

Details for the file spectacularAI-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spectacularAI-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4fb43a868637bd72d8225476039de917de7d6a78f27cc243f53443c313270da7
MD5 32c5b0a4026cd78db66b52c9ba6f7414
BLAKE2b-256 f81895027ee64b308b27ae5fd65bd62d1d003671e67ea2fad64ef9ec6be665cd

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