Changelog¶
List of changes in-between ODTbrain releases.
version 0.2.3¶
- enh: employ slice-wise padding to reduce the memory usage (and possibly the computation time) of
- ref: replace asserts with raises (#8)
- ref: multiprocessing-based rotation does not anymore require a variable (_shared_array) at the top level of the module; As a result, multiprocessing-rotation should now also work on Windows.
version 0.2.2¶
- docs: minor update and add changelog
version 0.2.1¶
- fix: Allow sinogram data type other than complex128
- docs: Add example with experimental data (#3)
- ci: automated deployment with travis-ci
version 0.2.0¶
- BREAKING CHANGES:
- Dropped support for Python 2
- Renamed sum_2d to integrate_2d
- Refactoring (#4, #5):
- Moved each reconstruction algorithm to a separate file
- Modified code to comply with PEP8
- Moved long doc strings from source to docs directory
- Migrate from unwrap to scikit-image
- Cleaned up example scripts
- Bugfixes:
- Mistake in “negative-modulo” method for determination of 2PI sinogram phase offsets
version 0.1.8¶
- Updated documentation
- Cleaned up examples
version 0.1.7¶
- Move documentation from GitHub to readthedocs.io
- Add universal wheel on PyPI
- Update tests on travis with new versions of NumPy
version 0.1.6¶
- Bugfixes:
- size of reconstruction volume in z too large for cases where the y-size is larger than the x-size of the sinogram images
- backpropagate_3d_tilted used wrong shape of projections
- 3D backpropagation methods did not use power-of-two padding size
version 0.1.5¶
- Code optimization (speed, memory) with numexpr
- New keyword argument save_memory for 3D reconstruction on machines with limited memory
- New keyword argument copy for 3D reconstruction to protect input sinogram data.
version 0.1.4¶
- The exponential term containing the distance between center of rotation and detector lD is now multiplied with the factor M-1 instead of M. This is necessary, because usually the scattered wave is normalized in both amplitude and phase (u_0) and not only amplitude a_0
- Allow angles of shape (A,1) in backpropagate_3d_tilted
- Set default value lD=0 for all reconstruction algorithms
- Improvement of documentation
version 0.1.3¶
- Fixes for backpropagate_3d_tilted when angles are points on the unit sphere:
- Make sure each point is normalized
- Correctly rotate each point w.r.t. tilted_axis
version 0.1.2¶
- Added reconstruction algorithm for tilted axis of rotation
version 0.1.1¶
- Support NumPy 1.10.
- Allow to weight backpropagation using keyword weight_angles
- Bugfix: backpropagate_3d with keyword onlyreal=True did not work
- Bugfix: sum_2d did not return correctly shaped array
- Code coverage is now 90%
- Added more examples to the documentation