""" Geometry helper SPDX - License - Identifier: LGPL - 3.0 - or -later Copyright © 2022 Concordia CERC group Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca """ import math import numpy as np import requests from trimesh import Trimesh from trimesh import intersections from hub.city_model_structure.attributes.polygon import Polygon from hub.city_model_structure.attributes.polyhedron import Polyhedron from hub.helpers.location import Location from PIL import Image class MapPoint: def __init__(self, x, y): self._x = int(x) self._y = int(y) @property def x(self): return self._x @property def y(self): return self._y def __str__(self): return f'({self.x}, {self.y})' def __len__(self): return 1 def __getitem__(self, index): if index == 0: return self._x elif index == 1: return self._y else: raise IndexError('Index error') class GeometryHelper: """ Geometry helper class """ srs_transformations = { 'urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH': 'epsg:25832' } def __init__(self, delta=0, area_delta=0): self._delta = delta self._area_delta = area_delta @staticmethod def coordinate_to_map_point(coordinate, city): return MapPoint((city.upper_corner[0] - coordinate[0] / 1), (city.upper_corner[1] - coordinate[1] / 1)) @staticmethod def city_mapping(city, building_names=None): if building_names is None: building_names = [b.name for b in city.buildings] x = int((city.upper_corner[0] - city.lower_corner[0]) / 1) y = int((city.upper_corner[1] - city.lower_corner[1]) / 1) city_map = [['' for _ in range(y + 1)] for _ in range(x + 1)] img = Image.new('RGB', (x + 1, y + 1), "black") # create a new black image city_image = img.load() # create the pixel map for building_name in building_names: building = city.city_object(building_name) for ground in building.grounds: length = len(ground.perimeter_polygon.coordinates) - 1 for i, coordinate in enumerate(ground.perimeter_polygon.coordinates): j = i + 1 if i == length: j = 0 next_coordinate = ground.perimeter_polygon.coordinates[j] point = GeometryHelper.coordinate_to_map_point(coordinate, city) distance = GeometryHelper.distance_between_points(coordinate, next_coordinate) if distance == 0: continue delta_x = (coordinate[0] - next_coordinate[0]) / distance delta_y = (coordinate[1] - next_coordinate[1]) / distance for i in range(0, int(distance)): x = MapPoint(point.x + (delta_x * i), point.y + (delta_y * i)).x y = MapPoint(point.x + (delta_x * i), point.y + (delta_y * i)).y if city_map[x][y] == '': city_map[x][y] = building.name city_image[x, y] = (100, 0, 0) elif city_map[x][y] != building.name: neighbour = city.city_object(city_map[x][y]) if building.neighbours is None: building.neighbours = [neighbour] elif neighbour not in building.neighbours: building.neighbours.append(neighbour) if neighbour.neighbours is None: neighbour.neighbours = [building] elif building not in neighbour.neighbours: neighbour.neighbours.append(building) img.show() @staticmethod def segment_list_to_trimesh(lines) -> Trimesh: """ Transform a list of segments into a Trimesh """ # todo: trimesh has a method for this line_points = [lines[0][0], lines[0][1]] lines.remove(lines[0]) while len(lines) > 1: i = 0 for line in lines: i += 1 if GeometryHelper.distance_between_points(line[0], line_points[len(line_points) - 1]) < 1e-8: line_points.append(line[1]) lines.pop(i - 1) break if GeometryHelper.distance_between_points(line[1], line_points[len(line_points) - 1]) < 1e-8: line_points.append(line[0]) lines.pop(i - 1) break polyhedron = Polyhedron(Polygon(line_points).triangles) trimesh = Trimesh(polyhedron.vertices, polyhedron.faces) return trimesh @staticmethod def _merge_meshes(mesh1, mesh2): v_1 = mesh1.vertices f_1 = mesh1.faces v_2 = mesh2.vertices f_2 = mesh2.faces length = len(v_1) v_merge = np.concatenate((v_1, v_2)) f_merge = np.asarray(f_1) for item in f_2: point1 = item.item(0) + length point2 = item.item(1) + length point3 = item.item(2) + length surface = np.asarray([point1, point2, point3]) f_merge = np.concatenate((f_merge, [surface])) mesh_merge = Trimesh(vertices=v_merge, faces=f_merge) mesh_merge.fix_normals() return mesh_merge @staticmethod def divide_mesh_by_plane(trimesh, normal_plane, point_plane): """ Divide a mesh by a plane :param trimesh: Trimesh :param normal_plane: [x, y, z] :param point_plane: [x, y, z] :return: [Trimesh] """ # The first mesh returns the positive side of the plane and the second the negative side. # If the plane does not divide the mesh (i.e. it does not touch it or it is coplanar with one or more faces), # then it returns only the original mesh. # todo: review split method in https://github.com/mikedh/trimesh/issues/235, # once triangulate_polygon in Polygon class is solved normal_plane_opp = [None] * len(normal_plane) for i in range(0, len(normal_plane)): normal_plane_opp[i] = - normal_plane[i] section_1 = intersections.slice_mesh_plane(trimesh, normal_plane, point_plane) if section_1 is None: return [trimesh] lines = list(intersections.mesh_plane(trimesh, normal_plane, point_plane)) cap = GeometryHelper.segment_list_to_trimesh(lines) trimesh_1 = GeometryHelper._merge_meshes(section_1, cap) section_2 = intersections.slice_mesh_plane(trimesh, normal_plane_opp, point_plane) if section_2 is None: return [trimesh_1] trimesh_2 = GeometryHelper._merge_meshes(section_2, cap) return [trimesh_1, trimesh_2] @staticmethod def get_location(latitude, longitude) -> Location: """ Get Location from latitude and longitude """ url = 'https://nominatim.openstreetmap.org/reverse?lat={latitude}&lon={longitude}&format=json' response = requests.get(url.format(latitude=latitude, longitude=longitude)) if response.status_code != 200: # This means something went wrong. raise Exception('GET /tasks/ {}'.format(response.status_code)) response = response.json() city = 'Unknown' country = 'ca' if 'city' in response['address']: city = response['address']['city'] if 'country_code' in response['address']: country = response['address']['country_code'] return Location(country, city) @staticmethod def distance_between_points(vertex1, vertex2): """ distance between points in an n-D Euclidean space :param vertex1: point or vertex :param vertex2: point or vertex :return: float """ power = 0 for dimension in range(0, len(vertex1)): power += math.pow(vertex2[dimension] - vertex1[dimension], 2) distance = math.sqrt(power) return distance