This is an archive of the old MediaWiki-based ImageJ wiki. The current website can be found at imagej.net.
CARE
CARE Fiji Plugin | |
---|---|
Project | CSBDresden |
URL | https://imagej.net/CARE |
Source | on GitHub |
License | BSD-2 |
Release | 0.3.4 |
Date | Tue Dec 11 00:00:00 CDT 2018 |
Development status | Unstable |
Support status | Active |
Team | |
Founders | Deborah Schmidt |
Leads | Deborah Schmidt, Benjamin Wilhelm, Florian Jug |
Developers | Deborah Schmidt, Benjamin Wilhelm, Florian Jug |
Debuggers | Deborah Schmidt, Benjamin Wilhelm |
Reviewers | Deborah Schmidt, Benjamin Wilhelm |
Support | Deborah Schmidt, Benjamin Wilhelm |
Maintainers | Deborah Schmidt, Tobias Pietzsch, Benjamin Wilhelm |
Contents
Install
ImageJ update site
The CSBDeep plugin can be installed from the ImageJ update site [1]. See the CSBDeep Wiki Pages for more details.
From source
- Clone this repository.
- Run the following command from inside the repo:
mvn -Dimagej.app.directory=/path/to/Fiji.app/ -Ddelete.other.versions=true
Run demos
- Download the exemplary image data
- Open Fiji.
- Open an example image, e.g. `tribolium.tif`.
- Run the plugin via `Plugins > CSBDeep > Demo`.
- Run the plugin by pressing `Ok`.
If all goes well, an image will be displayed representing the result of the model execution.
See the CSBDeep Wiki Pages for more details.
Run your own model
- Use the python code to train your network with your data. Export it as ZIP.
- Open Fiji.
- Open an image.
- Run the plugin for any network via `Plugins > CSBDeep > Run your network`.
- Load your exported network by pressing `Browse` on the `Import model (.zip)` line.
- Run the plugin by pressing `Ok`.
If all goes well, an image will be displayed representing the result of the model execution.
See the CSBDeep Wiki Page for more details.
GPU support
Please read this page for GPU support.
License
This project is licensed under the BSD 2-clause "Simplified" License -- see the LICENSE.txt file for details.