Skip to main content

scikit-surgerybard is a Basic Augmented Reality Demo (BARD)based on scikit-surgery (SNAPPY)

Project description

Logo

Travis CI test status Test coverage Documentation Status SciKit-SurgeryBARD Demonstration on YouTube The SciKit-Surgery paper Follow scikit_surgery on twitter

Author(s): Miguel Xochicale, Thomas Dowrick, Stephen Thompson and Matt Clarkson; Contributor(s): Mian Ahmad.

Basic Augmented Reality Demo (BARD) is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

The BARD is tested on Python 3.9, 3.10 and 3.11 and may support other Python versions.

Developing

Encountering Problems?

Please get in touch or raise an issue.

Contributing

Please see the contributing guidelines.

Acknowledgements

Supported by Wellcome and EPSRC.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit_surgerybard-1.2.0.tar.gz (45.4 kB view details)

Uploaded Source

File details

Details for the file scikit_surgerybard-1.2.0.tar.gz.

File metadata

  • Download URL: scikit_surgerybard-1.2.0.tar.gz
  • Upload date:
  • Size: 45.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for scikit_surgerybard-1.2.0.tar.gz
Algorithm Hash digest
SHA256 27b4d983f28205d71a9c999e32678550720f8b10c93906727d27aa246ca9268b
MD5 5dda805ce0ec04a16934d342cb1d4f14
BLAKE2b-256 ab21d06249b14cc05b7016c8e7105754c084b11ee5573e6a3cf4fa14c2486b0f

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