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Created with Raphaël 2.2.019Sep18531Aug2928111010Jul729Jun272621923May1610922Feb17141230Jan272625242321181710985330Dec26232221201715141312852130Nov29282625211816111098743128Oct2724212019181714131211Update README.mdmastermasternew files for comparison with Binbin for the papersparsification implementedsparsification implementedversion updaterelabelling procedure was addedcomment updateimplemented low vegatation removal in foldersimplemented low vegatation removal in foldersremoving low vegatation along with mapping from las to csv and vice versa is implementedMerge branch 'master' of gitlab.nibio.no:maciekwielgosz/instance_segmentation_classicimplemented from scratch distance from the ground filtering based on DEMupdate for oraclefix in fsct/point2trees.py to solve convex hull 2D problem in the cube functionupdated for oracle block storage usage and deployupdate for /home/datasciencefolder mapping in the oracle cloudfix for creating output folder in the oracle if does not existupdate for prod oracleupdated oracle wrapper localupdate for prod oracle folder mapping -> to be tested on the oracleMerge branch 'master' of gitlab.nibio.no:maciekwielgosz/instance_segmentation_classiczipping the output for the oracle cloudREADME updated to cover the recent pipelineREADME updated to cover the recent pipelineREADME updated to cover the recent pipelineREADME updated to cover the recent pipelineREADME updated to cover the recent pipelineREADME updated to cover the recent pipelineREADME updated to cover the recent pipelinefixes for orcale deploy e.g. tiling centerupdate in the density based filtering - relative paths updatedensity filtering implemented updated for better quality of the steep ground in sem segoracle deploy - fixes with folder download and uploadMerge branch 'master' of gitlab.nibio.no:maciekwielgosz/instance_segmentation_classicupdate to put to the oracle cloudupdate after the paper experimentsinstance segmentation labels updated with rmsepostprocessing implemented for 6 classesdata agnostic model pth (trained to approx. 80 percent train acc)