![]() # 70 Opened Issues with label bug and milestone 0.4.18 # 6 PRs with milestone 0.5.0 and label bugfix: # :wrench: Issue to trace v0.4.18 release process Efficient labels mapping for drawing in Labels (60 FPS even with 8000x8000 images) (#5732) Fix inefficient label mapping in direct color mode (10-20x speedup) (#5723) Zooming with the mouse wheel in any mode (#5701) Feature: support for textures and vertex colors on Surface layers (#5642) Add lasso tool for faster drawing of polygonal Shapes (#5555) Rendering), and the scientific Python stack (numpy, scipy).įor more information, examples, and documentation, please visit our website: It's built on top of Qt (for the GUI), vispy (for performant GPU-based It's designed for browsing, annotating, and analyzing large multi-dimensional ![]() Napari is a fast, interactive, multi-dimensional image viewer for Python. ![]() We're happy to announce the release of napari 0.4.18! Huge kudos to for managing the release and over course major thanks to all of the people who submitted PRs. If it fails, install pyqt from conda and use python -m pip install -pre napariĪnd if you want to yolo and update an existing install, you can use: (Note: this will pull pyqt5 backend from pypi. Really pleased to announce that a new release of napari, 0.4.18, is in the release candidate stage! ![]()
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