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 and Monterey users please download the latest beta version
Dear macOS users, if you have upgraded to macOS 11 (Big Sur), or macOS 12 (Monterey)
please download
the latest ilastik beta version (1.4.0b11 or newer).
Currently, there is no 3D preview in Carving, all other functionality should work as expected.
This message will disappear once we can offer full support of ilastik on 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 1.4.0b27 (31. March 2022)
From 1.4.0b20 on we distribute ilastik in two versions for Windows and Linux.
In addition to our regular build, you can download GPU-enabled builds.
With these you can
run pre-trained neural network models from the
bioimage.io Model Zoo faster, if you have a compatible nvidia GPU on your system.
All other workflows, besides the
Neural Network Workflow (local) will work exactly like before.
If you are interested in running ilastik on a
remote GPU, e.g. if you have a powerful server in your facility, you have to check for additional installation instructions for the server part in the
tiktorch repository.
After you install the server part, you can use your regular ilastik installation as a client with the
Neural Network Workflow (remote), ilastik will take care of the communication with the server.
Commercial solver support with gurobi 951 for tracking with learning.
Regular builds
GPU-enabled builds
For faster neural network prediction.
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)