napari: a multi-dimensional image viewer for Python
Bibliographic record
Abstract
napari 0.5.4 Monday, Sep 30, 2024 We're happy to announce the release of napari 0.5.4! napari is a fast, interactive, multi-dimensional image viewer for Python. It's designed for exploring, annotating, and analyzing multi-dimensional images. It's built on Qt (for the GUI), VisPy (for performant GPU-based rendering), and the scientific Python stack (NumPy, SciPy, and friends). For more information, examples, and documentation, please visit our website: https://napari.org/ Highlights Another release with a lot of bug fixes, but also some (more!) improvements to Shapes layer performance (#7144, #7256), and a few nice usability/quality of life features! you can now follow the value under the cursor around in images in 3D view as well as 2D (#7126) Use standard keyboard shortcuts to zoom in and out ({kbd}Command/Ctrl+=, {kbd}Command/Ctrl+-) and to zoom-to-fit ({kbd}Command/Ctrl+0) (#7200) you can now save tiff files larger than 4GB (#7242) Finally, we're starting some work on tweaking the UI to make it more self-consistent, with the ultimate goal of adding functionality such as showing common controls when multiple layers are selected, so that, for example, you can select multiple layers and adjust all their opacity settings together. As the first step for this, the layer blending controls have been moved directly under the opacity control, so that all per-layer controls are next to each other in the UI (#7202) Read on for all the changes in this version! New Features enable get_value_3d for image layers (#7126) Preserve area of dock widgets between sessions (#7247) Improvements Speed up get_status for Shapes layer by using bounding boxes (#7144) Enh: Add zoom options and keybindings to View menu (#7200) [ux/ui] Put blending controls under opacity slider in layer controls (#7202) Enable conflicts detection with layer keybindings when changing viewer ones and add group info to conflicts popup (#7231) Speedup _is_convex by avoid calling np.roll (#7256) Sort plugin manifests in alphabetical order for registration (#7266) Performance Speed up get_status for Shapes layer by using bounding boxes (#7144) Speedup _is_convex by avoid calling np.roll (#7256) Bug Fixes start/stop status thread on show/hide main window (#7240) Added support for saving tiff files > 4GB :) (#7242) Accept any Mapping as output of a plugin widget (#7250) Eliminate nearly all Qt widget leaks by using qtbot (#7251) Enforce minimum side length when guessing if image is RGB (#7273) Remove skip conditions for PySide2/6 over plugins menu tests and bump napari-plugin-manager minimum version (>=0.1.3) (#7293) Fix color shuffling for bool labels (#7294) Fix cursor dimensionality race condition (#7295) Fix overflow error in shuffle colormap for signed integer labels (#7296) When calculating view directions, check ndim, not just ndisplay (#7301) Documentation Add beanli161514 to citation file (#7272) Doc/metadata: add jni's ORCID to the CITATION.cff file (#7275) Style fix: use recommended capitalization for "GitHub" in README (#7284) Add psygnal and pydantic to napari --info (#7285) Move images to _static folder (docs#483) Update version switcher to add 0.5.3 (docs#488) Move release notes to be under Usage (docs#489) Update release guide (docs#491) Use get_qapp or get_app_model instead of get_app (docs#495) Add 0.5.4 release notes (docs#496) Add note about questions in landing page (docs#498) Add further fixes to release notes ([docs#499](Add further fixes to release notes)) Other Pull Requests Update script for vendored modules (#5779) Update certifi, dask, hypothesis, ipython, numpy, qtconsole, rich, scipy, tifffile (#7212) Block zarr 3.0.0a1 and 3.0.0a2 in pre-release tests (#7217) Add autouse fixture that clears cached property Action.injected (#7224) Update tifffile (#7235) CI benchmark run comment will now include results table (#7237) [pre-commit.ci] pre-commit autoupdate (#7239) Fix coverage and debug artifacts upload (#7241) Replaced broken link to the "Translations" page :) (#7243) Alow to call benchmark that do not have params (#7252) Block zarr=3.0.0a3 to fix pre-release tests (#7254) Change type of layer Metadata from dict to Mapping (#7257) Update fsspec, hypothesis, pydantic, tensorstore, virtualenv, zarr (#7258) Deprecate usage of get_app functions to get QApplication or NapariApplication instances (#7269) Block zarr==3.0.0a4 (#7271) Update dask, hypothesis, napari-plugin-manager, pandas, pydantic, pytest, rich, tifffile, virtualenv, xarray (#7274) [pre-commit.ci] pre-commit autoupdate (#7276) Fix test_windows_grouping_overwrite skip condition and asserts (#7281) Update menu sorting tests still using mock_app and get_app instead of mock_app_model and get_app_model (#7283) Remove obsolete self from layout argument (#7291) 11 authors added to this release (alphabetical) (+) denotes first-time contributors 🥳 BeanLi - @beanli161514 Daniel Althviz Moré (docs) - @dalthviz Draga Doncila Pop - @DragaDoncila Grzegorz Bokota - @Czaki Ikko Eltociear Ashimine - @eltociear + Juan Nunez-Iglesias (docs) - @jni Lorenzo Gaifas - @brisvag Lucy Liu - @lucyleeow Melissa Weber Mendonça - @melissawm Peter Sobolewski - @psobolewskiPhD Sammy Hansali - @sammyhansali + 13 reviewers added to this release (alphabetical) (+) denotes first-time contributors 🥳 andrew sweet - @andy-sweet Ashley Anderson - @aganders3 Daniel Althviz Moré (docs) - @dalthviz Draga Doncila Pop - @DragaDoncila Grzegorz Bokota - @Czaki jaime rodriguez-guerra - @jaimergp Juan Nunez-Iglesias (docs) - @jni kyle i. s. harrington - @kephale Lorenzo Gaifas - @brisvag Lucy Liu - @lucyleeow Melissa Weber Mendonça - @melissawm Peter Sobolewski - @psobolewskiPhD Wouter-Michiel Vierdag - @melonora
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.173 | 0.664 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".