Merge pull request #72 from jhkennedy/prep-release

bump version number and whatnot for release
nasa-jpl · Nov 1, 2022 · 60cdeaa · 60cdeaa
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diff --git a/docs/features.md b/docs/features.md
@@ -17,8 17,11 @@
 * the current version can be installed with the ISCE software (that supports both Cartesian and radar coordinates) or as a standalone Python module (Cartesian coordinates only)
 * when used in combination with the sister Python module Geogrid (https://github.com/leiyangleon/Geogrid), autoRIFT can be used for feature tracking between image pair over a grid defined in an arbitrary map-projected Cartesian (northing/easting) coordinate system
 * when the grid is provided in map-projected Cartesian (northing/easting) coordinates, outputs are returned in geocoded GeoTIFF image file format with the same EPSG map projection code as the input search grid
-* **[NEW]** for combinative use of autoRIFT/Geogrid in feature tracking with optical images, the program now supports fetching optical images (Landsat-8 GeoTIFF and Sentinel-2 COG formats are included) as well as other inputs (e.g. DEM, slope, etc; all in GeoTIFF format) from either local machine or remotely using [GDAL virtual file systems](https://gdal.org/user/virtual_file_systems.html) (e.g., `/vsicurl/https://...`). For the use on radar images, the program now supports fetching auxiliary inputs (e.g. DEM, slope, etc; all in GeoTIFF format) from either local machine or remotely. See the changes on the Geogrid [commands](https://github.com/leiyangleon/Geogrid).
-* **[NEW]** parallel computing has been added for Normalized Cross-Correlation (NCC). When using the autoRIFT commands in the Demo section, users need to append a multiprocessing flag: "-mpflag $num" with "$num" being the number of threads used; if not specified, the single-core version is used. 
-* **[NEW]** fine grid spacing that causes overlapping (dependent) search chips (templates) is now supported with a refined NDC filter, so that spatially independent chips are no longer requested
-* **[NEW]** improved memory use (by 50%) for autoRIFT and runtime (60x) for GeogridOptical using combination of Python/C 
-* **[NEW]** the entire radar/optical workflow of using autoRIFT/Geogrid has been refined by adding a number of condition checks and fixing bugs and thus is ready for scaling the production of both optical and radar data results for large-scale (e.g. polar or global) glacier ice velocity mapping
 * for combinative use of autoRIFT/Geogrid in feature tracking with optical images, the program now supports fetching optical images (Landsat-8 GeoTIFF and Sentinel-2 COG formats are included) as well as other inputs (e.g. DEM, slope, etc; all in GeoTIFF format) from either local machine or remotely using [GDAL virtual file systems](https://gdal.org/user/virtual_file_systems.html) (e.g., `/vsicurl/https://...`). For the use on radar images, the program now supports fetching auxiliary inputs (e.g. DEM, slope, etc; all in GeoTIFF format) from either local machine or remotely. See the changes on the Geogrid [commands](https://github.com/leiyangleon/Geogrid).
 * parallel computing has been added for Normalized Cross-Correlation (NCC). When using the autoRIFT commands in the Demo section, users need to append a multiprocessing flag: "-mpflag $num" with "$num" being the number of threads used; if not specified, the single-core version is used. 
 * fine grid spacing that causes overlapping (dependent) search chips (templates) is now supported with a refined NDC filter, so that spatially independent chips are no longer requested
 * improved memory use (by 50%) for autoRIFT and runtime (60x) for GeogridOptical using combination of Python/C 
 * the entire radar/optical workflow of using autoRIFT/Geogrid has been refined by adding a number of condition checks and fixing bugs and thus is ready for scaling the production of both optical and radar data results for large-scale (e.g. polar or global) glacier ice velocity mapping
 * **[NEW]** autoRIFT/Geogrid now support processing Landsat 4, 5, 7, and 9 scenes
 * **[NEW]** autoRIFT/Geogrid now explicitly requires scenes to be in the same projection
 * **[NEW]** autoRIFT will now use a default filter width of 5 pixels, except for Sentinel-1 scenes where it'll use the previous default of 21. 
diff --git a/geo_autoRIFT/autoRIFT/__init__.py b/geo_autoRIFT/autoRIFT/__init__.py
@@ -13,4 13,4 @@
  # this means ISCE support not available. Don't raise error. Allow standalone use
  pass
 
-__version__ = '1.4.0'
 __version__ = '1.5.0'
diff --git a/setup.py b/setup.py
@@ -50,7 50,7 @@
 ]
 
 setup (name = 'geo_autoRIFT',
- version = '1.3.0',
  version = '1.5.0',
  description = 'This is the autoRIFT python package',
  package_dir={'autoRIFT': 'geo_autoRIFT/autoRIFT','geogrid': 'geo_autoRIFT/geogrid'},
  packages=['autoRIFT','geogrid'],