scikit-surgeryopencvcpp
Image-guided surgery functions, in C++, using OpenCV, wrapped in Python.
Part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, University College London (UCL).
Features
- Stereo triangulation (Hartley/Zisserman SVD method and midpoint-of-shortest-distance)
- Calibration dot/fiducial detection
- Point masking utilities
Installing
pip install scikit-surgeryopencvcpp
Building from source
Requires CMake 3.15+ and a C++17 compiler. All dependencies (OpenCV, pybind11) are fetched automatically via CMake FetchContent.
Build a wheel (for pip install)
pip install build
python -m build --wheel
This produces a wheel in dist/ that you can install with:
pip install dist/scikit_surgeryopencvcpp-*.whl
For a faster development cycle (reuses your existing build artifacts):
pip wheel . -v --no-build-isolation
C++ development (no Python)
cmake -B build -DBUILD_TESTING=ON -DBUILD_PYTHON_BINDINGS=OFF -DCMAKE_BUILD_TYPE=Release
cmake --build build --config Release --parallel
ctest --test-dir build --build-config Release --output-on-failure
Full build with Python bindings
Requires NumPy and pybind11 in your environment:
pip install numpy pybind11
cmake -B build -DBUILD_TESTING=ON -DBUILD_PYTHON_BINDINGS=ON -DCMAKE_BUILD_TYPE=Release
cmake --build build --config Release --parallel
ctest --test-dir build --build-config Release --output-on-failure
Python API
import numpy as np
import sksurgeryopencvpython as sks
# Triangulate stereo point pairs
points_3d = sks.triangulate_points_using_hartley(
image_points, # Nx4 array (left_x, left_y, right_x, right_y)
left_intrinsics, # 3x3 camera matrix
right_intrinsics, # 3x3 camera matrix
rotation_matrix, # 3x3 left-to-right rotation
translation_vector # 3x1 left-to-right translation
)
Releasing
- Update
pyproject.tomlwith the version number - Tag on main branch
- Push tag
Contributing
- Raise an issue on GitHub
- Fork the repository
- Create a feature branch:
<issue-number>-<short-description> - Submit a pull request
License
Copyright 2018 University College London. Released under the BSD-3 license.
Acknowledgements
2 maintainers
Release files for scikit-surgeryopencvcpp 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 43.7 MB
Release files / scikit_surgeryopencvcpp-0.2.0-cp313-cp313-win_amd64.whl
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| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / scikit_surgeryopencvcpp-0.2.0-cp39-cp39-macosx_10_9_x86_64.whl
| Download URL | scikit_surgeryopencvcpp-0.2.0-cp39-cp39-macosx_10_9_x86_64.whl |
|---|---|
| Size | 2.2 MB |
| Tags | CPython 3.9 macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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