Release Name: 2.0.0
Notes:
BrainNet Viewer 2.0.0 provides MATLAB Desktop, Python Desktop
and Docker/Web editions for visualizing brain surfaces, networks,
volumetric maps and atlas regions. All three editions include a
shared English manual and illustrated tutorials.
The MATLAB edition reads supported NIfTI and GIFTI files without
SPM. Python Desktop runs independently of MATLAB and requires
Python 3.11 or newer. Docker/Web supports local use and
authenticated Linux LAN deployment with a separate process for each
browser session, HTTPS, and automatic CPU fallback when GPU
rendering is unavailable. The default browser port is 1031.
Download the package for your edition and verify it against
SHA256SUMS. Follow the installation instructions included in the
package.
GitHub: https://github.com/mingruixia/BrainNet-V...
Docker: https://hub.docker.com/r/mingruixia/brai...
Compatibility: Use PNG for exact-size export on the affected
MATLAB R2024a PDF/SVG path. Portable Scenes should be opened in the
edition that created them; cross-edition migration has not been
verified. Native ARM64 container graphics validation remains
incomplete. GPU allocation alone does not establish that rendering
uses the GPU.
Changes:
This release adds updated atlas network examples, more
colormaps, figure annotations and improved interaction, window
resizing and export recovery. MATLAB colorbars now match the
displayed edge colors when mapped weights are constant. Recent
fixes improve MATLAB transparent PNG export and physical-unit
sizing, Linux desktop file access and dialog focus, and CPU and
memory reporting. MATLAB can read local inputs directly and save
either file references or a portable Scene ZIP. See
RELEASE_NOTES.en.md for details.
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