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samonGouttiere.py
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samonGouttiere.py
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import argparse
import os
from v2.shot import MNT, RAF, Shot
from v2.prediction import Prediction
from typing import List
from lxml import etree
from v2.association_batiment_engine import AssociationBatimentEngine
from v2.association_segments_engine import AssociationSegmentsEngine
from v2.groupe_batiments import GroupeBatiments
from v2.groupe_segments import GroupeSegments
from v2.calcul_intersection_engine import CalculIntersectionEngine
from v2.fermer_batiment_engine import FermerBatimentEngine
import geopandas as gpd
class SamonGouttiere:
def __init__(self, path_chantier:str):
# Chemin où se trouve le chantier
if not os.path.isdir(path_chantier):
return ValueError(f"{path_chantier} n'est pas un répertoire")
self.path_chantier = path_chantier
self.mnt:MNT = None
self.raf:RAF = None
self.shots:List[Shot] = []
self.predictions:List[Prediction] = []
self.groupe_batiments:List[GroupeBatiments] = []
self.groupe_segments:List[GroupeSegments] = []
def get_mnt_path(self) -> str:
"""
Renvoie le chemin vers le mnt
"""
path = os.path.join(self.path_chantier, "mnt", "mnt.vrt")
if not os.path.isfile(path):
return ValueError(f"{path} n'existe pas")
return path
def get_raf_path(self) -> str:
"""
Renvoie le chemin vers la grille raf
"""
path = os.path.join(self.path_chantier, "raf", "raf2020_2154.tif")
if not os.path.isfile(path):
return ValueError(f"{path} n'existe pas")
return path
def get_predictions_ffl_dir(self) -> str:
"""
Renvoie le répertoire avec les prédictions du frame field learning
"""
path = os.path.join(self.path_chantier, "gouttieres", "predictions_FFL")
if not os.path.isdir(path):
return ValueError(f"{path} n'existe pas")
return path
def get_predictions_ffl(self) -> List[str]:
"""
Renvoie les prédictions ffl sous format shapefile
"""
predictions = [i for i in os.listdir(self.get_predictions_ffl_dir()) if i[-4:]==".shp"]
return predictions
def get_ta_path(self):
"""
Renvoie le fichier ta.xml
"""
dir_path = os.path.join(self.path_chantier, "orientation")
if not os.path.isdir(dir_path):
return ValueError(f"{dir_path} n'existe pas")
files = [i for i in os.listdir(dir_path) if i[-4:]==".XML"]
if len(files)!=1:
return ValueError(f"Il ne faut qu'un seul fichier orientation dans {dir_path}")
return os.path.join(dir_path, files[0])
def get_shots(self, predictions_ffl:List[str]) -> List[Shot]:
"""
Renvoie les objets shots pour chaque image orientée pour lesquelles on dispose des prédictions ffl
"""
tree = etree.parse(self.get_ta_path())
root = tree.getroot()
centre_rep_local = root.find(".//centre_rep_local")
centre_rep_local_x = float(centre_rep_local.find(".//x").text)
centre_rep_local_y = float(centre_rep_local.find(".//y").text)
centre_rep_local = [centre_rep_local_x, centre_rep_local_y]
pvas = [i.split(".")[0] for i in predictions_ffl]
shots = []
for vol in root.getiterator("vol"):
focal = root.find(".//focal")
focale_x = float(focal.find(".//x").text)
focale_y = float(focal.find(".//y").text)
focale_z = float(focal.find(".//z").text)
focale = [focale_x, focale_y, focale_z]
for cliche in vol.getiterator("cliche"):
image = cliche.find("image").text.strip()
if image in pvas:
shot = Shot.createShot(cliche, focale, self.raf, centre_rep_local)
shots.append(shot)
return shots
def run(self):
self.load()
self.lisser_geometries()
self.association_bati()
self.association_segments()
self.calculer_intersections()
self.fermer_batiment()
def load(self):
"""
Charge les données
"""
self.mnt = MNT(self.get_mnt_path())
self.raf = RAF(self.get_raf_path())
predictions_ffl = self.get_predictions_ffl()
self.shots = self.get_shots(predictions_ffl)
predictions = []
for prediction_ffl in predictions_ffl:
for shot in self.shots:
if shot.image+".shp" == prediction_ffl:
predictions.append(Prediction(shot, os.path.join(self.get_predictions_ffl_dir(), prediction_ffl), self.mnt))
self.predictions = predictions
def lisser_geometries(self):
"""
Lisse les géométries de chaque polygones
"""
print("Lissage de la géométrie")
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "nettoyage"), exist_ok=True)
for prediction in self.predictions:
prediction.lisser_geometries()
prediction.export_geometry_image(os.path.join(self.path_chantier, "gouttieres", "nettoyage"))
def association_bati(self):
"""
Associer les bâtiments entre eux
"""
association_batiments_engine = AssociationBatimentEngine(self.predictions)
self.groupe_batiments = association_batiments_engine.run()
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "association_batiment"), exist_ok=True)
for prediction in self.predictions:
prediction.export_geometry_terrain(os.path.join(self.path_chantier, "gouttieres", "association_batiment"))
def association_segments(self):
print("Association des segments")
association_segments_engine = AssociationSegmentsEngine(self.groupe_batiments)
self.groupe_segments = association_segments_engine.run()
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "association_segments"), exist_ok=True)
for prediction in self.predictions:
prediction.export_segment_geometry_terrain(os.path.join(self.path_chantier, "gouttieres", "association_segments"))
def calculer_intersections(self):
"""
On calcule les intersections de plans dans l'espace
"""
calcule_intersection_engine = CalculIntersectionEngine(self.groupe_segments)
calcule_intersection_engine.run()
self.export_intersections()
def export_intersections(self):
geometries = []
nb_segments = []
d_mean = []
residus = []
identifiant = []
for groupe_segments in self.groupe_segments:
if not groupe_segments._supprime:
geometries.append(groupe_segments.get_geometrie())
nb_segments.append(groupe_segments.get_nb_segments())
d_mean.append(groupe_segments.get_d_mean())
residus.append(groupe_segments.get_residu_moyen())
identifiant.append(groupe_segments.get_identifiant())
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "intersections"), exist_ok=True)
gdf = gpd.GeoDataFrame({"id":identifiant, "residus":residus, "d_mean":d_mean, "nb_segments":nb_segments, "geometry":geometries}, crs="EPSG:2154")
gdf.to_file(os.path.join(self.path_chantier, "gouttieres", "intersections", "intersections.gpkg"))
def fermer_batiment(self):
fermer_batiment_engine = FermerBatimentEngine(self.groupe_batiments)
fermer_batiment_engine.run()
self.export_batiments_fermes()
self.export_intersections_ajustees()
def export_batiments_fermes(self):
geometries = []
identifiant = []
for groupe_batiment in self.groupe_batiments:
geometrie = groupe_batiment.get_geometrie_fermee()
for geom in geometrie.geoms:
geometries.append(geom)
identifiant.append(groupe_batiment.get_identifiant())
d = {"id_bati":identifiant, "geometry":geometries}
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "batiments_fermes"), exist_ok=True)
gdf = gpd.GeoDataFrame(d, crs="EPSG:2154")
gdf.to_file(os.path.join(self.path_chantier, "gouttieres", "batiments_fermes", "batiments_fermes.gpkg"))
def export_intersections_ajustees(self):
geometries = []
nb_segments = []
d_mean = []
residus = []
identifiant = []
for groupe_batiments in self.groupe_batiments:
for groupe_segments in groupe_batiments.groupes_segments:
if not groupe_segments._supprime:
geometries.append(groupe_segments.get_geometrie())
nb_segments.append(groupe_segments.get_nb_segments())
d_mean.append(groupe_segments.get_d_mean())
residus.append(groupe_segments.get_residu_moyen())
identifiant.append(groupe_segments.get_identifiant())
os.makedirs(os.path.join(self.path_chantier, "gouttieres", "batiments_fermes"), exist_ok=True)
gdf = gpd.GeoDataFrame({"id":identifiant, "residus":residus, "d_mean":d_mean, "nb_segments":nb_segments, "geometry":geometries}, crs="EPSG:2154")
gdf.to_file(os.path.join(self.path_chantier, "gouttieres", "batiments_fermes", "intersections.gpkg"))
if __name__=="__main__":
parser = argparse.ArgumentParser(description="On calcule la position des goutières")
parser.add_argument('--input', help='Répertoire où se trouvent les résultats de association_segments')
args = parser.parse_args()
samonGouttiere = SamonGouttiere(args.input)
samonGouttiere.run()