In the user home, define a parent .gitconfig
file for your main account (eg: work account)
[user]
name = John Doe
email = [email protected]
[credential]
helper = store --file /home/johndoe/.git-credentials
from urllib.request import urlretrieve | |
import rasterio | |
import pyproj | |
from shapely.geometry import box | |
from shapely.ops import transform | |
from shapely.geometry import shape, GeometryCollection | |
import sys | |
import os | |
import json | |
import tarfile |
In the user home, define a parent .gitconfig
file for your main account (eg: work account)
[user]
name = John Doe
email = [email protected]
[credential]
helper = store --file /home/johndoe/.git-credentials
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h> | |
#include <CGAL/IO/read_points.h> | |
#include <CGAL/property_map.h> | |
#include <CGAL/Surface_mesh.h> | |
#include <CGAL/Shape_detection/Efficient_RANSAC.h> | |
#include <CGAL/Polygonal_surface_reconstruction.h> | |
#ifdef CGAL_USE_SCIP // defined (or not) by CMake scripts, do not define by hand |
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h> | |
#include <CGAL/IO/read_points.h> | |
#include <CGAL/property_map.h> | |
#include <CGAL/Surface_mesh.h> | |
#include <CGAL/Shape_detection/Efficient_RANSAC.h> | |
#include <CGAL/Polygonal_surface_reconstruction.h> | |
#include <CGAL/Polygon_mesh_processing/triangulate_faces.h> | |
#include <CGAL/Polygon_mesh_processing/orientation.h> | |
#include <CGAL/Polygon_mesh_processing/polygon_mesh_to_polygon_soup.h> | |
#include <CGAL/Polygon_mesh_processing/polygon_soup_to_polygon_mesh.h> |
Question pratique: Comment extraire un morceau de LIDAR HD depuis les dalles COPC mises à disposition par l'IGN en utilisant PDAL ?
On streame la donnée pour n'en récupérer qu'un morceau sur une emprise (bounds
)
[
import sys | |
try: | |
from osgeo import ogr, osr, gdal | |
except: | |
sys.exit('ERROR: cannot find GDAL/OGR modules') | |
# create the spatial reference | |
srs = osr.SpatialReference() | |
srs.ImportFromEPSG(2154) |
#!/usr/bin/env python3 | |
import os | |
import laspy | |
import shutil | |
file_ext = ".las" | |
output_file = "output.las" | |
if os.path.exists(output_file): |
#!/usr/bin/env bash | |
# Working area in EPSG:2154 | |
xmin=892000 | |
ymin=6249000 | |
xmax=894000 | |
ymax=6247000 | |
rm -rf footprints | |
mkdir footprints |
resource "google_storage_bucket" "osm_dl_planet" { | |
project = var.project-id | |
name = var.bucket-name | |
uniform_bucket_level_access = true | |
location = var.project-region | |
storage_class = "REGIONAL" | |
force_destroy = true | |
} | |
resource "google_service_account" "scheduler" { |
This how I managed to push a Docker image in a Google Cloud Artifact Registry using a GitHub Actions workflow without using a GCP Service Account.
Before using this tutorial make sure you have :
gcloud
tool installed, authenticated and configured to use the GCP project. We will not use the --project
flag in the following gcloud
commands.