Place DeepImageJ_X.X.X.jar inside the 'plugins' folder of the 'ImageJ2/Fiji' directory.
Unzip the dependencies_xxx.zip file and copy all the .jar files in the 'jars' folder inside the 'ImageJ2/Fiji' directory. If we already have other versions of the dependencies inside the 'jars' folder, the plugin might not function correctly. For a quick test, if possible, we suggest to remove the duplicated dependencies and leave the ones we provide.
PyTorch models for Windows: please make sure that you have Visual Studio installed:
If deepImageJ is not able to load a PyTorch model using the GPU, remove CUDA_PATH (if exists) from your environment variables and make sure that your PATH does not include any directory or file with the words “Nvidia” or “CUDA”. For that go to 'Edit the system environment variables' or 'Edit environment variables for your account', then click on 'Environment variables' and finally check the 'Path' and 'CUDA_PATH' variables (note that Windows is not case sensitive so they might be written and 'PATH' or 'path').
Detailed information for the GPU installation is given here.
Ecole Polytechnique Fédérale de Lausanne
Biomedical Imaging Group
Universidad Carlos III de Madrid
Bioengineering and Aerospace Engineering Department