Binaries
Choose from the download links below, and make sure your operating system satisfies the minimum requirements.
For help with installation, see the installation instructions.
macOS Big Sur is not supported
If you use ilastik on macOS, please do not upgrade to macOS 11 (Big Sur).
ilastik 1.4.0b11 offers limited Big Sur support - no guarantees!.
This message will disappear when we start supporting macOS Big Sur in the latest release.
Version 1.3.3
Includes various improvements and bug fixes.
A few highlights:
- 1.3.3post3, projects are opened readonly in headless mode per default
- Support for n5 volumes (https://github.com/saalfeldlab/n5)
- Support for masks in Pixel Classification (an additional dataset can be supplied that disables computation of probabilities wherever it is 0 -> speeds up computation in cases with a lot of background
- Atlas Mask overlays for Object classification (an additional dataset can be supplied. Pixel values of this additional mask are included in result tables but not used in classification.)
- counting fixes (saving boxes, import/export of boxes, interaction improvements)
- autocontext now takes arbitrary data types (was previously limited to uint8), but mind the memory footprint! We still recommend to use uint8.
- carving improvements, more efficient memory utilization
- applet bar improvement, redesign
- a lot of internal backend cleanups/improvements
- a lot of internal GUI cleanups/improvements
- updated dependency stack
For more details, see the
Release Notes.
Commercial solver support for cplex version 1290 and gurobi 811 for tracking with learning.
Latest Beta Version
Version 1.4.0b11 (16. December 2020)
Release Summary:
- Neural Network Classification workflow
see the docs for more instructions
For more details, see the
Release Notes.
Commercial solver support for cplex version 1290 and gurobi 903 for tracking with learning.
Tiktorch server version 20.9
Previous stable versions
Version 1.3.2
Please see our
Release Notes for a summary of changes.
Version 1.3.0
We have updated all our dependencies, and switched from Python 2 to Python 3.
This could mean that projects created with older ilastik versions do not load any more and vice versa.
We advise you to make copies of important project files before you try to use them with this new version of ilastik!
For more details, see the
Release Notes.
Version 1.2.2 (based on Python 2)