hugoledoux

{
  "CityObjects": {
    "id-1": {
      "geometry": [
        {
          "boundaries": [
              [
                [
                  0,
                  1,

hugoledoux

import rerun as rr
import numpy as np
import trimesh
import laspy
import startinpy

las = laspy.read("/Users/hugo/data/ahn4/crop.laz")
d = np.vstack((las.x, las.y, las.z)). transpose()
c = np. vstack((las.red, las.green, las.blue) ).transpose()

hugoledoux

import re

# Variable global para almacenar ids
ids_usuarios = []

# Variable global para almacenar información de usuarios
usuarios = {}

# Función para generar ID único
def generate_id():

hugoledoux

Position of the BoS MSc Geomatics within the A+BE Faculty

The Board of Studies (BoS) for the program "MSc Geomatics" was established on 2023-01-01 as a separate and independent board of studies at the Faculty of Architecture and the Built Environment (A+BE).

Before 2023-01-01, there were 2 members from the MSc Geomatics (one teacher and one student) in the BoS of the Faculty A+BE. This BoS covered 5 different programmes (at both the BSc and MSc levels, on different topics, and having different teaching languages (Dutch and English)). The general feeling was that since the program MSc Geomatics is somewhat different from the other ones, a specific BoS that would address the specificities of the program would be better for ensuring that the quality of the education stays high.

We therefore present the activities and advices we gave during the period 2023-01-01 to 2023-08-30.

hugoledoux

import startinpy
import laspy
import numpy as np
import sys

np.set_printoptions(precision=3, suppress=True)

las = laspy.read('/Users/hugo/teaching/hw04-marking/data/area_full.laz')
print(las)
pts = np.vstack((las.x, las.y, las.z)).transpose()

hugoledoux

import laspy
import numpy as np
import sys

np.set_printoptions(precision=2, suppress=True)
# 0. Creating some dummy data
my_data_xx, my_data_yy = (np.random.random_sample(size=1000) * 100, np.random.random_sample(size=1000) * 100)
# print(my_data_xx)
my_data_zz = np.random.random_sample(size=1000) * 2
my_data = np.hstack((my_data_xx.reshape((-1, 1)), my_data_yy.reshape((-1, 1)), my_data_zz.reshape((-1, 1))))

hugoledoux

import laspy
import numpy as np
import sys


las = laspy.read('/Users/hugo/teaching/hw04-marking/data/area_full.laz')

#-- fetch all points within 100m of the median xyz of the file
coords = np.vstack((las.x, las.y, las.z)).transpose()
median = np.median(coords, axis=0)

hugoledoux

{
  "type": "CityJSONExtension",
  "name": "WeixiaoBuilding",
  "description": "Extension to model the building parts",
  "url": "https://someurl.org/noise.ext.json",
  "version": "0.1",
  "versionCityJSON": "2.0",
  "extraAttributes": {},
  "extraCityObjects": {},
  "extraRootProperties": {},     

hugoledoux

import urllib.request
import json
import sys


# myurl = "http://localhost:3200//collections/pand/items/NL.IMBAG.Pand.1655100000500568"
myurl = "http://localhost:3200//collections/pand/items?bbox=75900.011,447000.034,76000.011,447200.034"
# myurl = "http://localhost:3200//collections/pand/items?bbox=75877.011,446130.034,92446.593,460259.369"

try:

hugoledoux

{
    "CityObjects":
    {
        "id-1":
        {
            "geometry":
            [
                {
                    "type": "Solid",
                    "lod": "1",