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CHANGELOG.md

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Changelog

0.9.0 Output interfaces (September 2024)

Added

  • Usage of up/down sampled sensor images [#797]
  • Pleiades usage tutorial [#792]

Changed

  • Refactoring of input and output configuration [#824]
  • Choose interpolation mode used in resampling [#831]
  • Displacement grids changed to localisation grids [#828]
  • Cars-resample and Cars-rasterize optimisation [#803]
  • Dsm radius parameter can now be used as a float [#792]
  • Refactoring of geoid usage [#830]

Fixed

  • Artefacts in performance map [#846]
  • Performance map modified [#898]
  • DSM clipping removed in notebook [#853]
  • Dask / pandas future warning removed [#759]
  • Crash avoided when temporary files lost [#847]
  • Blue pixels in orthorectified image [#812]

0.8.0 Orfeo Toolbox dependency removal (June 2024)

Added

  • Auto mode for orchestrator adapts to machine resources [#798]

Changed

  • Orfeo Toolbox geometry plugin is no longer available [#805]
  • Exogenous DEM is cropped before disparity grid generation to reduce time and memory consumption [#827]

Fixed

  • Subpixellic shift during resampling is fixed [#799]
  • Input mask can be saved as output of dense_point_clouds_to_dense_dsm pipeline [#816]
  • Ambiguity is normalized globally and no longer by tiles [#810]
  • Classified pixels outside of epipolar footprint are no longer filled [#814]
  • Statistics on confidence intervals are added and warnings are removed [#817]
  • Parameter check_inputs can be used with Shareloc geometry plugin [#820]
  • Masked and filled pixels are no longer masked in final DSM [#836]
  • Cache of GDAL is limited to 500Mb to avoid memory overload during resampling [#823]

0.7.6 Confidence intervals (April 2024)

Added

  • Integration of Pandora confidence intervals [#764]
  • Option to choose endogenous or exogenous DEM to resample images [#790]
  • Geomodel parameter is optional [#785]
  • Path to JSON file is allowed for dense matching loader configuration [#552]
  • Support for point cloud denoising plugin [#771]
  • Check footprint of given initial elevation [#780]

Changed

  • Version 0.2.0 of Shareloc is used : fast grid generation [#781]

Fixed

  • Invert rows and columns for generation of disparity range grids with Shareloc [#804]
  • Better typing of output files [#758]
  • Faster LAZ point cloud saving [#795]
  • Avoid computation of useless epipolar tiles when a ROI is given for no_merging pipelines [#791]
  • Compute footprint of endogenous DEM according to images and epipolar footprint [#780]
  • Broadcast delayed objects with dask to avoid memory overload [#796]

0.7.5 Pandora integration (March 2024)

Added

  • New default pipeline sensors_to_dense_dsm_no_merging with cumulative rasterisation [#698]
  • Profiling report for multiprocessing mode [#745]
  • Dashboard showing tiles processing during a run [#765]
  • Save of sparse matches in sensor geometry [#761]
  • Relaunch of frozen tasks after timeout [#768]

Changed

  • Version 1.6.0 of Pandora is used [#688]
  • Version 0.2.0a2 of Shareloc is used [#756]
  • Sparse matching processed by strip to improve computation time [#753]
  • DEM generation improved : less artifacts, filling of invalid regions [#754]
  • Default orchestrator is multiprocessing [#755]
  • Disparity interval cropped when it is too high [#757]

Fixed

  • Data is typed to save memory consumption [#661]
  • Preload of CARS in workers for multiprocessing mode to reduce forking time [#730]
  • CPU usage limited to 100% per worker [#750]
  • Output classification pixels cannot be floating-point numbers anymore
  • ROI not used for endogeneous DEM [#772]

0.7.4 Local disparity ranges (December 2023)

Added

  • Local disparity ranges are used [#695]
  • Write point cloud by pair [#727]
  • Left and right classification fusion on disparity map [#729]

Changed

  • Plane filling method: no propagation by default [#725]

Fixed

  • Slurm cluster launch [#736]
  • None tiles managed in save_cars_dataset [#716]
  • Color data type propagated to the end [#642]
  • Memory unreleased in multiprocessing mode [#731]
  • Loglevel could not be set [#734]

0.7.3 CARS fully pip installable (November 2023)

Added

  • CARS can now be pip installed [#639]
  • Name of color bands propagated in point cloud [#696]

Changed

  • Slurm account now as a parameter of Orchestrator [#712]
  • pkg_resources not used anymore [#700]

Fixed

  • Rasterization in epsg:4326 supported [#724]
  • Estimation of DSM roi in Shareloc plugin [#701]

0.7.2 Self calculated initial elevation (October 2023)

Added

  • Multiprocessing cluster: add factorization of Delayed [#673]
  • 8 bits images are managed with particular sift parameters [#668]
  • Self calculated initial elevation with sift matches [#664]
  • Add debug mode with roi using initial tiling [#475]
  • Information map about dense matches filling [#679]
  • Script to generate CARS configuration [#678]

Changed

  • Multi points direct location [#708]
  • Application parameter "method" now optional [#692]
  • Geometry plugin interface [#623]
  • Nodata parameter now optional [#296]

Fixed

  • Orchestrator used does not match the one reported in the logs [#681]
  • used_conf is no longer created when the application is initialized [#693]
  • Parameter "mask" can be used in "dense_point_clouds_to_dense_dsm" [#722]

0.7.1 Slurm Cluster (July 2023)

Added

  • Dask Slurm cluster [#624]
  • Crop disparity range with thresholds [#626]
  • Used source information map generated [#648]

Changed

  • Write workers logs in one single file [#659]
  • Use tempfile to generate default orchestrator folder instead of /tmp [#663]

Fixed

  • Cython upgrade bug [#674]
  • Too much used disk memory in MP mode [#632]

0.7.0 CARS installable without OTB (June 2023)

Added

  • Notebook: add masks and classification options [#615]
  • Option: Set python interpreter to use in PBS Dask Cluster [#611]
  • DensePointCloudToDenseDSM Pipeline: now re-entrance with confidence and classification [#602]
  • Shareloc Geometry plugin is now internal [#618]
  • Use_sec_disp option allowing to use right disparity map is removed [#638]
  • CARS can now be installed without OTB [#637]
  • Epipolar tiles corresponding to region outside sensor images are removed before any computation [#635]
  • Add CARS progress messages [#658]

Changed

  • Multiprocessing cluster doesn't freeze when bug occur anymore [#607]
  • Resampling is not done with OTB anymore [#508]
  • Pyproj is no longer constrained [#646]

Fixed

  • Notebook: retrieve dsm [#614]
  • Doc: Roi parameter disappearing [#616]

0.6.0 A new input interface (mask and classification) and new pipelines (March 2023)

Added

  • All confidence maps from Pandora are propagated [#521]
  • New pipelines: sensor to point cloud, point cloud to dsm[#567]
  • Generate performance map [#590]
  • Density parameter for terrain tile size computation in pc to dsm pipeline [#566]
  • Multiprocessing mode available for DenseMatchesFilling [#539]
  • Rasterization coded in C++ [#523]

Changed

  • P+XS Fusion is no longer available in CARS [#579]
  • Input mask is now a binary validity mask used in the whole pipeline [#566]
  • Region of Interest with GeoJson or Shapefile [#580, #242]
  • Refactoring of Masks, Classifications and Color [#577, #578]
  • Move the former "set_to_ref_alt" option to DenseMatchesFilling application [#577, #578]

Fixed

  • Bug DenseMatchesFilling Plane [#599]

0.5.4 Grid correction in the configuration file and a better estimate of disparity range (February 2023)

Added

  • A better estimate of disparity range [#538]
  • Prepare and use Epipolar A Priori data: grid correction and disparity range [#458]
  • Use custom DASK configuration for CARS [#554]
  • Use adaptative DASK cluster [#541]
  • Update Pandora to 1.3 [#459][#575][#587]
  • Point cloud saving in the low resolution pipeline [#498]

Changed

  • Update black formatting rules [#556]
  • Update dask memory logger, disable it by default [#527]
  • OTB_MAX_RAM_HINT not used for tile sizing anymore [#541]
  • Deactivate DASK dashboard by default [#343]

Fixed

  • Line artefact on right disparity map [#525]
  • Pipeline configuration override [#533]
  • Scipy an xarray broken interfaces [#561]
  • Set masked pixels to nodata in point clouds from triangulation [#465]
  • Set log level of dask cluster to warning [#545]

0.5.3 Points clouds as LAZ files (December 2022)

Added

  • Dump point clouds as LAS [#438]
  • Refactoring of tiling grids and margins [#451]
  • Generate a runnable full configuration file [#422]
  • Add hole filling application for disparity maps [#275]

Changed

  • Add minimum number of sift matches in configuration [#514]

Fixed

  • Fix pylint errors (no-member) in application template [#437]
  • Fix bug PBS Dask [#515]
  • Fix wrong images saved in notebooks
  • Fix bug in disparity map saving [#484]

0.5.2 Profiling and dense matching confidence information (November 2022)

Added

  • Add ambiguity transmission through pipeline [#478]
  • Add memory/cpu profiling mode [#473]
  • Clean notebooks outputs [#497]

Changed

  • Clean setup.cfg with optionnal package data [#467]
  • Clean disk data in Multiprocessing mode [#454]

Fixed

  • Fix dimension bug during point cloud fusion [#482]

0.5.1 Minor fixes post refactoring (September 2022)

Changed

  • New User Guide version [#448]

Fixed

  • Fix dask upgrade bug [#436]
  • Fix temporarily local path to CARS OTB installed apps [#434]
  • Fix multiprocessing bug [#446]
  • Fix (remove) warning: tile ignored [#455]

0.5.0 Refacto CARS (August 2022)

Be careful, this version changes API and configuration ! See new documentation.

Added

  • Add documentation generation pre-commit when git push [#406]
  • Add docker images files for jupyter and cars tutorial [#418]
  • Add cars tutorial main_tutorial as notebook slides [#421]
  • Add pandora mccn simplified installation process [#426]

Changed

  • Refactoring of all CARS code by implementing new concepts as application, CarsDataset, orchestrator, pipeline and configuration. See documentation for more details. [#332]
  • upgrade support to python 3.8 only [#372]
  • change quick_start and notebooks to tutorials structure [#419]

Fixed

  • Remove setuptools pre installation [#341]
  • Remove click 8.0.4 dependency [#341]
  • Add automatic use of setup.cfg docs extra_require for readthedocs conf [#367]

0.4.2 OTB/GDAL upgrade (July 2022)

Fixed

  • Fix gdal-config dependency in docker with rasterio upgrade [#404]
  • Upgrade OTB to 7.4.1 in Dockerfile [#404]

0.4.1 Stabilization - Upgrade Pandora 1.2.* (June 2022)

Added

  • Add Authors file for contributors [#400]

Changed

  • Upgrade to pandora 1.2.* [#371]
  • Improve performance of CARS cli with no argument [#357]
  • Add egm96 internal geoid hdr header [#335]
  • Cluster dask code structure evolution [#355]
  • Clean : remove hard coded indexes in the cloud fusion [#394]
  • Gitlab template evolution [#399]
  • Makefile evolution and clean [#391]

Fixed

  • Fix min_elevation_offset option when user_disp_min is greater than disp_min [#348]
  • Temporary bugfix by forcing click version to avoid dask.distributed pbs cluster trouble [#383]
  • Fix CI errors with pylint upgrades and docker apt package ubuntu upgrades [#390, #388, #385, #384, #380, #379, #376, #369, #368, #339]
  • Monitor pytest CI performance with debug information [#373]
  • Fix shapely version upgrade bug [#349]
  • Fix pygdal setuptools version upgrade bug [#333]
  • Fix OTB geometry plugin bugs [#393, #396]
  • Fix Loader geometry bug: non static schemas management [#395]
  • Filter useless verbose dask warning [#353]

0.4.0 Geometry Loader (September 2021)

Added

  • Write used dask configuration in output directory. [#224]
  • Add argparse file option @"opts.txt" + doc [#265]
  • Add Contributor Licence Agreement [#257]
  • Add quality code tools isort, black, flake8 [#247, #269, #271]
  • Add prepare/compute_dsm notebook [#246]
  • Add sonarqube configuration [#198]
  • Add Geometry Loader mechanism [#287]
  • Add OTBGeometry loader [#287]

Changed

  • Update/Clean package setup (add Makefile, clean requirements) [#210, #193, #305, #197]
  • Make pip install -e work [#207]
  • Update/Clean environment parameters [#166, #251]
  • Move cars_cli.py from bin to cars. [#188, #203]
  • Rename cars_cli to cars. [#188]
  • Change default nb_workers to 2 [#218]
  • Allow multiprocessing fork mode. [#283]
  • Force OpenMP use in dask, and TBB in multiprocessing. [#304]
  • Change loglevel argument API to pipeline level [#310, #311]
  • Upgrade and fix pandora dependency [#235, #267, #274, #273, #309, #188]
  • Clean quality code pylint and sonarqube conf [#302, #209]
  • Change CARS loglevel default to WARNING + clean output [#239, #300, #143]
  • Refactoring CARS file/module organization [#216, #259]
  • Clean Documentation + ReadTheDocs [#160, #258]
  • Dockerfile update [#219]
  • Update/Clean README [#200]
  • Geoid file indicated via the static configuration [#287]

Fixed

  • Fix epipolar size. [#206, #237, #248]
  • Fix and clean tbb support [#267, #276, #304]
  • Fix align_with_lowres_dem in mp mode [#286]
  • Fix Delaunay algorithm between epi and terrain tiles [#277]
  • Fix dask ComputeDSMMemoryLogger api [#202]
  • Handle margins when setting the disparity to 0 [#201]
  • Fix car cli with setuptools_scm version [#199]

0.3.0 Multi-classes mask management (December 2020)

Added

  • Mask management : change input format and internal behaviors. [#147, #170]
  • Constants.py added to optimize code [#172]
  • Default elevation option [#111]
  • Satellite angles information on prepare step [#58, #190]
  • Changelog added [#185]

Changed

  • Update rasterization tests [#177]
  • Integrate a new memory estimation method [#158]
  • Version handling with setuptools_scm [#194]

Fixed

  • Fix CLI parsing for ROI option : CLI API changes (-i for input json file and -o for output directory) [#93, #174]
  • Pylint code clean [#191]
  • Add constants.py file [#172]

0.2.0 First Open Source Official Release (July 2020)

  • 3D functional pipeline : Python3 and C++ OTB modules
  • Python API
  • CLI command
  • Documentation basics
  • Continuous Integration on unit tests