Releases: mundialis/rvr_interface
Releases · mundialis/rvr_interface
7.3.0
Changed
- import option 'train neural network' by @vbrunn in #89
- scikit-learn fix by @metzm in #93
- add m.neural_network and Training Data Generation Documentation by @griembauer in #90
Full Changelog: 7.2.0...7.3.0
generated with gh api repos/mundialis/rvr_interface/releases/generate-notes -f tag_name="7.3.0" -f target_commitish=main -q .body
7.2.0
7.1.0
Changed
- DGM/DTM import as tif by @vbrunn in #84
- Small improvements by @anikaweinmann and @vbrunn in #85
m.import.rvr
improve check addon for multiaddonsr.trees.traindata
: renametrees_pixel_ndvi
tonearest_pixel_ndvi
nearest_pixel_ndvi
is created automatically inr.trees.mltrain
if not set, so thatr.trees.traindata
can be skipped if own training data are created
- Change tree trunk position to be created by 'r.to.vect -c' by @anikaweinmann in #86
Added
r.trees.thresholds
: addon to propose thresholds by @anikaweinmann and @vbrunn in #87
Full Changelog: 7.0.0...7.1.0
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7.0.0
Breaking Changes
- Split
r.trees.mltrain
into two modules:r.trees.traindata
creates preliminary tree raster/vector to be used in ML processing or directly inr.trees.postprocess
("switch" for optional ML processing)r.trees.mltrain
samples training data points from the preliminary tree raster/vector (or any user generated or modified training dataset) and trains the ML model. Thenum_samples
parameter is now configurable by the user. If not defined, the entire input training raster/vector dataset will be used.
--> The purpose of this change is that users may
- skip the ML processing and directly use the preliminary tree map generated by
r.trees.traindata
inr.trees.postprocess
- export, adapt and/or replace the preliminary tree map generated by
r.trees.traindata
in order to use customized training data in the ML process (r.trees.mltrain
+r.trees.mlapply
)
Changed
v.trees.param
:dist_building
,dist_tree
removed from default parameter listdistance_building
,distance_tree
: default distance reduced to 50m
v.trees.param.worker
:- name of attribute columns for centroid position switched from
pos_cent_x/y
topos_rand_x/y
as they are currently at a random point within the polygon (to be adapted inr.to.vect
)
- name of attribute columns for centroid position switched from
Added
- Module
r.trees.traindata
(see above) r.trees.mltrain
: User may pass the amount of samples for training by the newnum_samples
parameter (see above)
6.1.0
6.0.0
Breaking Changes
m.import.rvr
: unify parameters for import addon #72
--> options fortype
have changed to Englishm.analyse.trees
: unify parameters for tree addons #71
--> some parameters are renamedm.import.rvr
: GUI changes for import module #69
--> dtm_file is split intodtm_dir
anddtm_file
Changed
v.trees.param
: make input required #76- HTML changes #75
m.analyse.trees
: reorder params, change gui section for some optional input #74m.analyse.buildings
: unify parameters for buildings addons #70- set a fix version for v.alkis.buildings.import #68
Added
r.extract.buildings
+r.extract.greenroofs
: add parameter for threshold #73
5.3.0
5.2.0
Changed
- silence i.group -lg by @metzm in #56
- add changes from feedback by @juleshaas in #57
- Update actions/checkout action to v4 by @renovate in #61
- requested changes, complete translation by @metzm in #62
Fixed
Added
Full Changelog: 5.1.0...5.2.0
generated with gh api repos/mundialis/rvr_interface/releases/generate-notes -f tag_name=5.2.0 -f target_commitish=main -q .body
5.1.0
5.0.0
Fixed
r.trees.peaks
: fix slope inversion for r.costr.trees.param
: v.extract for too large cat-listr.trees.param.worker
: use fully qualified namesv.trees.species
: fix for GRASS 8.2 and older
Added
r.trees.peaks
: serial tiling for large regionsm.import.rvr
: adddtm_dir
anddtm_tindex
option
Changed
v.trees.species
: change method how to classify species