From ea63dbf89f9a1fb7a63411bf1ea50f513967ced5 Mon Sep 17 00:00:00 2001 From: alavenant Date: Thu, 10 Oct 2024 09:58:50 +0200 Subject: [PATCH] update algo MNx and test (#24) * update algo MNx and test * fix algo radius + fix script mnx * Update test/test_radius_assign.py --- .pre-commit-config.yaml | 4 +- RELEASE_NOTES.md | 8 + ...e_for_digital_models_with_new_dimension.py | 199 ++++++++++++------ pdal_ign_macro/version.py | 2 +- .../RadiusAssignFilter.cpp | 6 +- test/data/mnx/input/crop_1.laz | Bin 0 -> 573236 bytes test/data/mnx/input/crop_2.laz | Bin 0 -> 838442 bytes test/data/mnx/input/crop_3.laz | Bin 0 -> 186798 bytes test/data/mnx/reference/crop_1.laz | Bin 0 -> 673109 bytes test/data/mnx/reference/crop_2.laz | Bin 0 -> 843829 bytes test/data/mnx/reference/crop_3.laz | Bin 0 -> 187333 bytes ...e_for_digital_models_with_new_dimension.py | 59 ++++++ test/test_radius_assign.py | 188 ++++++++++++++--- 13 files changed, 372 insertions(+), 94 deletions(-) create mode 100644 test/data/mnx/input/crop_1.laz create mode 100644 test/data/mnx/input/crop_2.laz create mode 100644 test/data/mnx/input/crop_3.laz create mode 100644 test/data/mnx/reference/crop_1.laz create mode 100644 test/data/mnx/reference/crop_2.laz create mode 100644 test/data/mnx/reference/crop_3.laz diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 91a22ec..d1b8b12 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,10 +1,10 @@ repos: - repo: https://github.com/ambv/black - rev: 24.4.2 + rev: 24.8.0 hooks: - id: black - repo: https://github.com/pycqa/flake8 - rev: 7.0.0 + rev: 7.1.1 hooks: - id: flake8 - repo: https://github.com/pycqa/isort diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md index 1ff0699..93ba4d8 100644 --- a/RELEASE_NOTES.md +++ b/RELEASE_NOTES.md @@ -1,3 +1,11 @@ +### 0.3.0 + +Update algorithm of [mark_points_to_use_for_digital_models_with_new_dimension](pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py) +In details : +- manage water and virtuals points, +- update building consideration +- 2 levels of water + ### 0.2.1 Fix (and test) arguments parsing in [mark_points_to_use_for_digital_models_with_new_dimension](pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py) diff --git a/pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py b/pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py index 0fe1e19..e1750a9 100755 --- a/pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py +++ b/pdal_ign_macro/mark_points_to_use_for_digital_models_with_new_dimension.py @@ -92,21 +92,26 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) "PT_ON_BUILDING", "PT_ON_VEGET", "PT_ON_SOL", + "PT_ON_VIRT", ] added_dimensions = [dtm_dimension, dsm_dimension] + temporary_dimensions pipeline |= pdal.Filter.ferry(dimensions="=>" + ", =>".join(added_dimensions)) - # 1 - recherche des points max de végétation (4,5) sur une grille régulière, avec prise en - # compte des points sol (2) et basse - # vegetation (3) proches de la végétation - # pour le calcul du DSM + ################################################################################################################### + # 1 - Gestion de la végétation pour le calcul du DSM: + ################################################################################################################### + # Recherche des points max de végétation (4,5) sur une grille régulière = PT_VEG_DSM=1, + # Prise en compte des points sol (2) proche de la végétation = PT_VEG_DSM=1 + # Isolement des classes (hors sol) sous la végetation comme les bâtis, l'eau, les ponts et les divers-bâtis + # Prise en compte des points basse vegetation (3) proche de la végétation = PT_VEG_DSM=1 + # Passage des premiers points "veget" PT_VEG_DSM=1 dans le taguage pour le MNS dsm_dimension=1 + # 1.1 Point veget max pipeline |= pdal.Filter.assign( value=["PT_VEG_DSM = 1 WHERE " + macro.build_condition("Classification", [4, 5])] ) - - # bouche trou : assigne les points sol à l'intérieur de la veget (4,5) + # 1.2 bouche trou : assigne les points sol à l'intérieur de la veget (4,5) pipeline = macro.add_radius_assign( pipeline, 1, @@ -115,16 +120,6 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_ref=macro.build_condition("Classification", [4, 5]), condition_out="PT_VEG_DSM=1", ) - pipeline = macro.add_radius_assign( - pipeline, - 1, - False, - condition_src=macro.build_condition("Classification", [6, 9, 17, 67]), - condition_ref=macro.build_condition("Classification", [4, 5]), - condition_out="PT_ON_VEGET=1", - max2d_above=0, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) - max2d_below=-1, # prendre tous les points qui sont en dessous des points pont (condition_ref) - ) pipeline = macro.add_radius_assign( pipeline, 1, @@ -133,38 +128,32 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_ref="Classification==2 && PT_VEG_DSM==0", condition_out="PT_VEG_DSM=0", ) + # 1.3 Isolement en PT_ON_VEGET=1 des éléments sous la végétation (hors sol) pipeline = macro.add_radius_assign( pipeline, 1, False, - condition_src="PT_ON_VEGET==1 && " + macro.build_condition("Classification", [6, 67]), - condition_ref="PT_ON_VEGET==0 &&" + macro.build_condition("Classification", [6, 67]), - condition_out="PT_ON_VEGET=0", - max2d_above=0.5, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) - max2d_below=0.5, # prendre tous les points qui sont en dessous des points pont (condition_ref) - ) - pipeline = macro.add_radius_assign( - pipeline, - 1, - False, - condition_src="PT_ON_VEGET==1 && Classification==17", - condition_ref="Classification==17 && PT_ON_VEGET==0", - condition_out="PT_ON_VEGET=0", - max2d_above=0.5, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) - max2d_below=0.5, # prendre tous les points qui sont en dessous des points pont (condition_ref) + condition_src=macro.build_condition("Classification", [6, 9, 17, 67]), + condition_ref=macro.build_condition("Classification", [4, 5]), + condition_out="PT_ON_VEGET=1", + max2d_above=0, + max2d_below=-1, ) pipeline = macro.add_radius_assign( pipeline, 1, False, - condition_src="PT_ON_VEGET==1 && Classification==9", - condition_ref="Classification==9 && PT_ON_VEGET==0", + condition_src="PT_ON_VEGET==1 && ( " + + macro.build_condition("Classification", [6, 9, 17, 67]) + + " )", + condition_ref="PT_ON_VEGET==0 && ( " + + macro.build_condition("Classification", [6, 9, 17, 67]) + + " )", condition_out="PT_ON_VEGET=0", - max2d_above=0.5, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) - max2d_below=0.5, # prendre tous les points qui sont en dessous des points pont (condition_ref) + max2d_above=0.5, + max2d_below=0.5, ) - - # selection des points de veget basse proche de la veget haute + # 1.4 selection des points de veget basse proche de la veget haute pipeline = macro.add_radius_assign( pipeline, 1, @@ -173,17 +162,19 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_ref="Classification==5", condition_out="PT_VEG_DSM=1", ) - + # 1.5 Premiers points tagués pour le MNS # max des points de veget (PT_VEG_DSM==1) sur une grille régulière : # TODO: remplacer par GridDecimation une fois le correctif mergé dans PDAL pipeline |= pdal.Filter.grid_decimation_deprecated( resolution=0.75, output_dimension=dsm_dimension, output_type="max", where="PT_VEG_DSM==1" ) + ################################################################################################################### + # 2 - Gestion de l'eau + ################################################################################################################### + # L'eau sous la roche en dévers (typique Corse) + # Gestion de l'eau sur les masques hydro qui ne doivent pas se supperposer aux points virtuels 66 - # 2 - sélection des points pour DTM et DSM - - ########################################################################################################################################### - # Voir pour l'eau sous le sol dans les dévers corse + # 2.1 L'eau sous la roche pipeline = macro.add_radius_assign( pipeline, 1.25, @@ -204,29 +195,67 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) max2d_above=0.5, max2d_below=0.5, ) - ########################################################################################################################################### + # 2.2 Gestion de l'eau sur les masques hydro + pipeline = macro.add_radius_assign( + pipeline, + 1, + False, + condition_src="Classification==9", + condition_ref="Classification==66", + condition_out="PT_ON_VIRT=1", + ) + pipeline = macro.add_radius_assign( + pipeline, + 1, + False, + condition_src="PT_ON_VIRT==1 && Classification==9", + condition_ref="PT_ON_VIRT==0 && Classification==9", + condition_out="PT_ON_VIRT=0", + ) + ################################################################################################################### + # 3 - sélection des premiers points pour MNT et MNS + ################################################################################################################### + # Initialisation pour le MNT + # Initialisation pour le MNS - # selection de points DTM (max) sur une grille régulière + # 3.1 Pour le MNT (le point sol max sur uen grille de 50cm) # TODO: remplacer par GridDecimation une fois le correctif mergé dans PDAL pipeline |= pdal.Filter.grid_decimation_deprecated( resolution=0.5, output_dimension=dtm_dimension, output_type="max", - where="(Classification==2 || PT_ON_SOL==0 && Classification==9)", + where="(Classification==2)", ) - - # selection de points DSM (max) sur une grille régulière + # 3.2 Pour les MNS (Pour le moment: Les bâtis, ponts, veget) # TODO: remplacer par GridDecimation une fois le correctif mergé dans PDAL pipeline |= pdal.Filter.grid_decimation_deprecated( resolution=0.5, output_dimension=dsm_dimension, output_type="max", - where="(PT_ON_VEGET==0 && " - + macro.build_condition("Classification", [6, 9, 17, 64]) - + f" || {dsm_dimension}==1)", + where="(PT_ON_VEGET==0 && (" + + macro.build_condition("Classification", [6, 17, 67]) + + f") || {dsm_dimension}==1)", + ) + # 3.3 Pour les points "eau" on prendra le point le plus bas de la grille de 50cm et qui ne sont ni sous la roche ni près de pts virtuels + pipeline |= pdal.Filter.grid_decimation_deprecated( + resolution=0.5, + output_dimension=dtm_dimension, + output_type="min", + where="(PT_ON_SOL==0 && PT_ON_VIRT==0 && Classification==9)", ) + pipeline |= pdal.Filter.grid_decimation_deprecated( + resolution=0.5, + output_dimension=dsm_dimension, + output_type="min", + where="(PT_ON_VEGET==0 && PT_ON_SOL==0 && PT_ON_VIRT==0 && Classification==9)", + ) + ################################################################################################################### + # 4 - Gestion des points sol sous la veget,bâtis et ponts pour le MNS + ################################################################################################################### + # On enlève les points sol sous la véget, le bati et les ponts du taguage pour les MNS + # Particularité de reprise des points sol au plus près des bâtiments - # assigne des points sol sélectionnés : les points proches de la végétation, des ponts, de l'eau, 67 + # 4.1 Isolement des points sols sous la véget, le bati et les ponts pipeline = macro.add_radius_assign( pipeline, 1.5, @@ -235,16 +264,15 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_ref=macro.build_condition("Classification", [4, 5, 6, 17, 67]), condition_out=f"{dsm_dimension}=0", ) - # Test proximité batiment + # 4.2 Particularité de reprise des points sol au plus près des bâtiments pipeline = macro.add_radius_assign( pipeline, 1.25, False, condition_src="Classification==2 && PT_VEG_DSM==0", - condition_ref="Classification==6", + condition_ref=macro.build_condition("Classification", [6, 67]), condition_out="PT_ON_BUILDING=1", ) - # BUFFER INVERSE Se mettre pipeline = macro.add_radius_assign( pipeline, 1, @@ -253,8 +281,10 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_ref="Classification==2 && PT_ON_BUILDING==0 && PT_VEG_DSM==0", condition_out=f"{dsm_dimension}=1", ) - # 3 - gestion des ponts - # bouche trou : on filtre les points au milieu du pont en les mettant à PT_ON_BRIDGE=1 + ################################################################################################################### + # 5 - Gestion des classes sous les ponts pour être détaguées pour le MNS dsm_dimension=0 + ################################################################################################################### + pipeline = macro.add_radius_assign( pipeline, 1.5, @@ -262,7 +292,7 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) condition_src=macro.build_condition("Classification", [2, 3, 4, 5, 6, 9, 67]), condition_ref="Classification==17", condition_out="PT_ON_BRIDGE=1", - max2d_above=0, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) + max2d_above=0, # ne pas prendre les points qui sont au dessus des points pont (condition_ref) max2d_below=-1, # prendre tous les points qui sont en dessous des points pont (condition_ref) ) pipeline = macro.add_radius_assign( @@ -277,20 +307,63 @@ def define_marking_pipeline(input_las, output_las, dsm_dimension, dtm_dimension) max2d_below=0.5, # prendre tous les points qui sont en dessous des points pont (condition_ref) ) pipeline |= pdal.Filter.assign(value=[f"{dsm_dimension}=0 WHERE PT_ON_BRIDGE==1"]) + ################################################################################################################### + # 6 - Ajout des point pour MNT (sol) qui servent au MNS également + ################################################################################################################### - # 4 - point pour DTM servent au DSM également - # HOMOGENEISER L UTILISATION DE PT_VEG_DSM POUR LES POINT SOL SOUS VEGET AVEC PT_ON_VEGET pipeline |= pdal.Filter.assign( value=[ f"{dsm_dimension}=1 WHERE ({dtm_dimension}==1 && PT_VEG_DSM==0 && PT_ON_BRIDGE==0 && PT_ON_BUILDING==0 && PT_ON_VEGET==0)" ] ) - # 5 - Ajout de la classe 66 pts virtuels dans DTM et DSM - pipeline |= pdal.Filter.assign(value=[f"{dtm_dimension}=1 WHERE (Classification==66)"]) + ################################################################################################################### + # 7 - Gestion des pts virtuels 66 pont et eau / MNT et MNS + ################################################################################################################### + # Taguage pour les MNT de tous les points virtuels + # Gestion des pts virtuels qui sont sous la végétation ou autres pour le MNS + # Taguage pour les MNS des points vituels "eau" seulement - # 6 - export du nuage et des DSM - pipeline |= pdal.Writer.las(extra_dims="all", forward="all", filename=output_las) + # 7.1 Taguade pour les MNT des points virtuels ponts et eau + pipeline |= pdal.Filter.assign(value=[f"{dtm_dimension}=1 WHERE Classification==66"]) + # 7.2 gestion des pts 66 "eau" sous le sursol + pipeline = macro.add_radius_assign( + pipeline, + 0.5, + False, + condition_src="Classification==66", + condition_ref=macro.build_condition("Classification", [4, 5, 6, 17, 67]), + condition_out="PT_ON_VEGET=1", + ) + pipeline = macro.add_radius_assign( + pipeline, + 0.5, + False, + condition_src="PT_ON_VEGET==1 && Classification==66", + condition_ref="PT_ON_VEGET==0 && Classification==66", + condition_out="PT_ON_VEGET=0", + ) + # 7.3 Taguage pour les MNS des points virtuels eau seulement + pipeline = macro.add_radius_assign( + pipeline, + 0.5, + False, + condition_src="Classification==66", + condition_ref="Classification==17", + condition_out="PT_ON_BRIDGE=1", + ) + pipeline |= pdal.Filter.assign( + value=[ + f"{dsm_dimension}=1 WHERE (Classification==66 && PT_ON_VEGET==0 && PT_ON_BRIDGE==0)" + ] + ) + + ################################################################################################################## + # 8 - export du nuage et des DSM + ################################################################################################################### + pipeline |= pdal.Writer.las( + extra_dims="all", forward="all", filename=output_las, minor_version="4" + ) return pipeline, temporary_dimensions diff --git a/pdal_ign_macro/version.py b/pdal_ign_macro/version.py index 19f10f4..74bd34b 100755 --- a/pdal_ign_macro/version.py +++ b/pdal_ign_macro/version.py @@ -1,4 +1,4 @@ -__version__ = "0.2.1" +__version__ = "0.3.0" if __name__ == "__main__": diff --git a/src/filter_radius_assign/RadiusAssignFilter.cpp b/src/filter_radius_assign/RadiusAssignFilter.cpp index e670956..4cbb28a 100644 --- a/src/filter_radius_assign/RadiusAssignFilter.cpp +++ b/src/filter_radius_assign/RadiusAssignFilter.cpp @@ -83,12 +83,12 @@ void RadiusAssignFilter::doOneNoDomain(PointRef &point) double Zref = point.getFieldAs(Dimension::Id::Z); if (m_args->m_max2d_below>=0 || m_args->m_max2d_above>=0) { - bool take (false); + bool take (true); for (PointId ptId : iNeighbors) { double Zpt = refView->point(ptId).getFieldAs(Dimension::Id::Z); - if (m_args->m_max2d_below>=0 && Zpt>=Zref && (Zpt-Zref)<=m_args->m_max2d_below) {take=true; break;} - if (m_args->m_max2d_above>=0 && Zpt<=Zref && (Zref-Zpt)<=m_args->m_max2d_above) {take=true; break;} + if (m_args->m_max2d_below>=0 && (Zref-Zpt)>m_args->m_max2d_below) {take=false; break;} + if (m_args->m_max2d_above>=0 && (Zpt-Zref)>m_args->m_max2d_above) {take=false; break;} } if (!take) return; } diff --git a/test/data/mnx/input/crop_1.laz b/test/data/mnx/input/crop_1.laz new file mode 100644 index 0000000000000000000000000000000000000000..3478412e1d70f8244bd14236364b749b8b678777 GIT binary patch literal 573236 zcmeFWV~}o9(k@uGZQHi%luy~VZQHi3Q?_lNvTfV0y4Brx?l)gg$IPFJn3#y05%11i zna^G;cV;fUd;bDVmtEUriSHO4(00595RS5on>HkggM5z|r^$6ns zcm8j%|JKxlAQk+F;sg9&ys%FFA8o&sA0B)z--_2|Az;r7wOm+gAn>FAzfcMr@IQ6j z3_$H+_Pd@KHobCLdw`$GPU^8o&f!~Ki>zi|Btuc)q~ow4En>#m36vc4Z5&N(9jx{Lq5kg=FQ*_YDXgeTq#!2B$xPtFNI*~UTi@Ei*ujaG zlbMJ{OysA7|C5=B=9i$7vh)w$*wI+uSy#;1*2vh=+}_z(SM+BTLw$2cT}Dn$W?dIX zA{s?GaS;VsiC>yTVhV}`jGP<{L^N#7>>P~D>@-ZA9CS>q>`Y8dj0}u4g33zbvI-JP z>Y79%a*AR^G(_wSjGRQ;+W*1A_A?d!VUbgikQVvzM9jh1*v8e|(2R(N;XlARI2ry4 zSC)}b(j+o6HvNJBAn6zw*;!bbnK+qPfBa=(X8sSiaxyY8{bwIo{+AE3k|M%N60$Oy zME^5vy27?L|BSWOKO}QQT_#02q91Ps6$GV4ltdIXiL8Fo;N)y%tZQqcYwKWcYHmYB 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