218 lines
7.3 KiB
Python
218 lines
7.3 KiB
Python
"""
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Geometry helper
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import math
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import numpy as np
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import requests
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from trimesh import Trimesh
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from trimesh import intersections
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from hub.city_model_structure.attributes.polygon import Polygon
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from hub.city_model_structure.attributes.polyhedron import Polyhedron
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from hub.helpers.location import Location
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from PIL import Image
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class MapPoint:
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def __init__(self, x, y):
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self._x = int(x)
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self._y = int(y)
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@property
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def x(self):
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return self._x
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@property
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def y(self):
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return self._y
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def __str__(self):
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return f'({self.x}, {self.y})'
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def __len__(self):
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return 1
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def __getitem__(self, index):
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if index == 0:
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return self._x
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elif index == 1:
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return self._y
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else:
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raise IndexError('Index error')
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class GeometryHelper:
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"""
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Geometry helper class
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"""
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srs_transformations = {
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'urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH': 'epsg:25832'
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}
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def __init__(self, delta=0, area_delta=0):
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self._delta = delta
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self._area_delta = area_delta
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@staticmethod
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def coordinate_to_map_point(coordinate, city):
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return MapPoint(((city.upper_corner[0] - coordinate[0]) * 0.5), ((city.upper_corner[1] - coordinate[1]) * 0.5))
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@staticmethod
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def city_mapping(city, building_names=None):
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if building_names is None:
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building_names = [b.name for b in city.buildings]
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x = int((city.upper_corner[0] - city.lower_corner[0]) * 0.5) + 1
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y = int((city.upper_corner[1] - city.lower_corner[1]) * 0.5) + 1
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city_map = [['' for _ in range(y + 1)] for _ in range(x + 1)]
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img = Image.new('RGB', (x + 1, y + 1), "black") # create a new black image
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city_image = img.load() # create the pixel map
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for building_name in building_names:
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building = city.city_object(building_name)
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for ground in building.grounds:
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length = len(ground.perimeter_polygon.coordinates) - 1
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for i, coordinate in enumerate(ground.perimeter_polygon.coordinates):
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j = i + 1
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if i == length:
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j = 0
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next_coordinate = ground.perimeter_polygon.coordinates[j]
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point = GeometryHelper.coordinate_to_map_point(coordinate, city)
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distance = GeometryHelper.distance_between_points(coordinate, next_coordinate)
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if distance == 0:
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continue
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delta_x = (coordinate[0] - next_coordinate[0]) / (distance / 0.5)
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delta_y = (coordinate[1] - next_coordinate[1]) / (distance / 0.5)
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for k in range(0, int(distance)):
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x = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).x
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y = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).y
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if city_map[x][y] == '':
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city_map[x][y] = building.name
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city_image[x, y] = (100, 0, 0)
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elif city_map[x][y] != building.name:
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neighbour = city.city_object(city_map[x][y])
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if building.neighbours is None:
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building.neighbours = [neighbour]
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elif neighbour not in building.neighbours:
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building.neighbours.append(neighbour)
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if neighbour.neighbours is None:
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neighbour.neighbours = [building]
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elif building not in neighbour.neighbours:
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neighbour.neighbours.append(building)
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img.show()
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@staticmethod
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def segment_list_to_trimesh(lines) -> Trimesh:
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"""
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Transform a list of segments into a Trimesh
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"""
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# todo: trimesh has a method for this
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line_points = [lines[0][0], lines[0][1]]
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lines.remove(lines[0])
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while len(lines) > 1:
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i = 0
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for line in lines:
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i += 1
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if GeometryHelper.distance_between_points(line[0], line_points[len(line_points) - 1]) < 1e-8:
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line_points.append(line[1])
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lines.pop(i - 1)
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break
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if GeometryHelper.distance_between_points(line[1], line_points[len(line_points) - 1]) < 1e-8:
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line_points.append(line[0])
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lines.pop(i - 1)
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break
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polyhedron = Polyhedron(Polygon(line_points).triangles)
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trimesh = Trimesh(polyhedron.vertices, polyhedron.faces)
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return trimesh
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@staticmethod
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def _merge_meshes(mesh1, mesh2):
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v_1 = mesh1.vertices
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f_1 = mesh1.faces
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v_2 = mesh2.vertices
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f_2 = mesh2.faces
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length = len(v_1)
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v_merge = np.concatenate((v_1, v_2))
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f_merge = np.asarray(f_1)
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for item in f_2:
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point1 = item.item(0) + length
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point2 = item.item(1) + length
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point3 = item.item(2) + length
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surface = np.asarray([point1, point2, point3])
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f_merge = np.concatenate((f_merge, [surface]))
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mesh_merge = Trimesh(vertices=v_merge, faces=f_merge)
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mesh_merge.fix_normals()
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return mesh_merge
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@staticmethod
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def divide_mesh_by_plane(trimesh, normal_plane, point_plane):
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"""
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Divide a mesh by a plane
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:param trimesh: Trimesh
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:param normal_plane: [x, y, z]
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:param point_plane: [x, y, z]
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:return: [Trimesh]
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"""
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# The first mesh returns the positive side of the plane and the second the negative side.
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# If the plane does not divide the mesh (i.e. it does not touch it or it is coplanar with one or more faces),
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# then it returns only the original mesh.
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# todo: review split method in https://github.com/mikedh/trimesh/issues/235,
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# once triangulate_polygon in Polygon class is solved
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normal_plane_opp = [None] * len(normal_plane)
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for i in range(0, len(normal_plane)):
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normal_plane_opp[i] = - normal_plane[i]
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section_1 = intersections.slice_mesh_plane(trimesh, normal_plane, point_plane)
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if section_1 is None:
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return [trimesh]
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lines = list(intersections.mesh_plane(trimesh, normal_plane, point_plane))
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cap = GeometryHelper.segment_list_to_trimesh(lines)
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trimesh_1 = GeometryHelper._merge_meshes(section_1, cap)
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section_2 = intersections.slice_mesh_plane(trimesh, normal_plane_opp, point_plane)
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if section_2 is None:
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return [trimesh_1]
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trimesh_2 = GeometryHelper._merge_meshes(section_2, cap)
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return [trimesh_1, trimesh_2]
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@staticmethod
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def get_location(latitude, longitude) -> Location:
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"""
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Get Location from latitude and longitude
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"""
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url = 'https://nominatim.openstreetmap.org/reverse?lat={latitude}&lon={longitude}&format=json'
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response = requests.get(url.format(latitude=latitude, longitude=longitude))
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if response.status_code != 200:
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# This means something went wrong.
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raise Exception('GET /tasks/ {}'.format(response.status_code))
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response = response.json()
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city = 'Unknown'
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country = 'ca'
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if 'city' in response['address']:
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city = response['address']['city']
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if 'country_code' in response['address']:
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country = response['address']['country_code']
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return Location(country, city)
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@staticmethod
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def distance_between_points(vertex1, vertex2):
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"""
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distance between points in an n-D Euclidean space
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:param vertex1: point or vertex
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:param vertex2: point or vertex
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:return: float
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"""
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power = 0
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for dimension in range(0, len(vertex1)):
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power += math.pow(vertex2[dimension] - vertex1[dimension], 2)
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distance = math.sqrt(power)
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return distance
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