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We're happy to announce the release of napari 0.2.9!
napari is a fast, interactive, multi-dimensional image viewer for Python.
It's designed for browsing, annotating, and analyzing large multi-dimensional
images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based
rendering), and the scientific Python stack (numpy, scipy).
For more information, examples, and documentation, please visit our website:
https://github.com/napari/napari
Highlights
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- better support for surface timeseries (831)
- contrast limits slider popup on right click (837)
- better isosurface rendering with colormaps (840)
- attenuated MIP mode for better 3D rendering (846)
New Features
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- convert layer properties to dictionary (686)
- better support for surface timeseries (831)
- make contrast_limits_range public and climSlider popup on right click (837)
- attenuated MIP mode for better 3D rendering (846)
Improvements
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- bump numpydoc dependency to 0_9_2 for faster startup (830)
- better isosurface rendering with colormaps (840)
- add nearest interpolation mode to volume rendering for better labels support (841)
- refactor RangeSlider to accept data range and values. (844)
- in bindings logic, check if generator, not generator function (853)
Bugfixes
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- fix fullscreen crash for test_viewer (849)
- fix RangeSlider.rangeChange emit type bug (856)
API Changes
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- `edge_color` and `face_color` now refer to colors of all points and shapes
in layer, `current_edge_color` and `current_face_color` now refer to the
colors currently selected in the GUI (686)
5 authors added to this release [alphabetical by first name or login]
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- Juan Nunez-Iglesias
- Kira Evans
- Nicholas Sofroniew
- Talley Lambert
- Tony Tung
4 reviewers added to this release [alphabetical by first name or login]
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- Juan Nunez-Iglesias
- Nicholas Sofroniew
- Talley Lambert
- Tony Tung