Commit b4c8d028 authored by cheesema's avatar cheesema
Browse files

Updated version to release 1.1

parent 18a1b8f3
......@@ -40,8 +40,8 @@ list(APPEND CMAKE_MODULE_PATH
# Generate configuration file
###############################################################################
set (APR_VERSION_MAJOR 1)
set (APR_VERSION_MINOR 0)
set (APR_VERSION_PATCH 2)
set (APR_VERSION_MINOR 1)
set (APR_VERSION_PATCH 0)
set (APR_VERSION_STRING ${APR_VERSION_MAJOR}.${APR_VERSION_MINOR}.${APR_VERSION_PATCH})
execute_process(COMMAND git rev-parse HEAD
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
......
......@@ -131,6 +131,10 @@ Example usage of the available functionality:
Note that you may have to manually change the `sys.path.insert()` statements before `import pyApr` in these scripts to insert your build folder.
## Java wrappers
Basic Java wrappers can be found at [LibAPR-java-wrapper](https://github.com/krzysg/LibAPR-java-wrapper)
## Coming soon
* more examples for APR-based filtering and segmentation
......@@ -138,6 +142,8 @@ Note that you may have to manually change the `sys.path.insert()` statements bef
* support for loading the APR in [Fiji](https://fiji.sc), including [scenery-based](https://github.com/scenerygraphics/scenery) 3D rendering
* improved java wrapper support
* CUDA GPU-accelerated APR generation and processing
* Block based decomposition for extremely large images.
* Time series support.
## Contact us
......@@ -149,4 +155,4 @@ If anything is not working as you think it should, or would like it to, please g
If you use this library in an academic context, please cite the following paper:
* Cheeseman, Günther, Susik, Gonciarz, Sbalzarini: _Forget Pixels: Adaptive Particle Representation of Fluorescence Microscopy Images_ (bioRxiv 2018) https://www.biorxiv.org/content/early/2018/02/09/263061
* Cheeseman, Günther, Susik, Gonciarz, Sbalzarini: _Forget Pixels: Adaptive Particle Representation of Fluorescence Microscopy Images_ (bioRxiv 2018) https://www.biorxiv.org/content/early/2018/06/28/263061
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