Releases: remotesensinginfo/rsgislib
5.0.5
What's Changed
- Update with new function to remove duplicate attribute features from vector layer by @petebunting in #30
- Added additional tools for aiding the plotting of raster data. by @petebunting in #31
- Bug fix for min / max values when visualising data. by @petebunting in #32
Full Changelog: 5.0.4...5.0.5
5.0.4
Full Changelog: 5.0.3...5.0.4
5.0.3
Update from 5.0.2 to test where a failure is occurring due to import not being available.
Full Changelog: 5.0.2...5.0.3
5.0.2
Updates from 5.0.1 with fixes for cross-platform building on conda-forge so now builds and passes tests on Linux, MacOS and Windows. There are also some changes to the classification and change detection modules.
5.0.1
What's Changed
This is a significant update with a very large number of changes, some specific changes include:
- Moved some functions around with the modules and created some new modules (e.g., vectorutils has been split into 3 modules)
- Updated function naming to be snake_case rather than the mix of CamelCase and snake_case
- A new test suite using pytest with a much greater test coverage of the library
- Removed a number of C++ dependencies which will make the library easier to maintain going forward and easy to build.
Full Changelog: 4.1.95...5.0.1
4.1.95
Draft release of RSGISLib 4.1.
Lots of changes and bug fixes but highlights:
Fixes for GDAL v3 regarding projection conversion
Updated the machine learning classification functions (more to come on this in future releases). This release has support for lightgbm, xgboost and keras. Keras support, particularly for chip based classifiers, is still Experimental and will probably change a lot in the future.
New tools for visualisations (e.g., tile caches)
Bug fixes in zonal stats
Changed over to use the tqdm progress bar and cpp-tqdm which provides the user more information as the software is running.
Moved to c++14 for compilation.
New module for species distribution modelling.
Allows gdal driver options to be defined using environmental variables.