DeepImageJ-2.1.16
Release of DeepImageJ version 2.1.16.
To download already pretrained models for this version and for more information please go to:
https://deepimagej.github.io/deepimagej/models.html or https://bioimage.io/#/
Changes with respect to 2.1.15:
- Add compatibility to newer versions of Pytorch 1 (1.13, 1.12, 1.11, 1.10)
IMPORTANT (only for ImageJ1):
In order to run the plugin in GPU mode, the dependency libtensorflow_jni-1.15.0 has to be substituted by libtensorflow_jni_gpu-1.15.0. There should only be one of those two dependencies installed in the ImageJ1 directory.
DeepImageJ for GPU processing works even if there are is not any GPU available. However, the GPU version DOES NOT WORK on macOS distributions.
Content of DeepImageJ_dependencies_2116.zip:
- libtensorflow-1.15.0.jar
- libtensorflow_jni-1.15.0.jar
- proto-1.15.0.jar
- protobuf-java-3.5.1.jar
- junit-4.12.jar
- hamcrest-core-1.3.jar
- snakeyaml-1.21.jar
- slf4j-simple-1.7.26.jar
- slf4j-api-1.7.25.jar
- pytorch-jni-1.13.1-0.21.0.jar
- pytorch-engine-0.21.0.jar
- npy-0.3.3.jar
- kotlin-stdlib-1.3.72.jar
- jna-5.3.0.jar
- imagej-tensorflow-1.1.6.jar
- gson-2.8.5.jar
- commons-compress-1.20.jar
- api-0.21.0.jar