maz-1

set(GDAL_VERSION_SEMVER 3.4.2)
set(GDAL_REF "v${GDAL_VERSION_SEMVER}")
#...
vcpkg_from_github(
    OUT_SOURCE_PATH SOURCE_PATH
    REPO OSGeo/gdal
    REF ${GDAL_REF}
    SHA512 <VALUE>
    HEAD_REF master
    PATCHES ${GDAL_PATCHES}

maz-1

# find windeployqt
if(Qt5_FOUND AND WIN32 AND TARGET Qt5::qmake AND NOT TARGET Qt5::windeployqt)
    get_target_property(_qt5_qmake_location Qt5::qmake IMPORTED_LOCATION)
    execute_process(
        COMMAND "${_qt5_qmake_location}" -query QT_INSTALL_PREFIX
        RESULT_VARIABLE return_code
        OUTPUT_VARIABLE qt5_install_prefix
        OUTPUT_STRIP_TRAILING_WHITESPACE

maz-1

#!/usr/bin/env python3

# https://keras.io/examples/vision/pointnet_segmentation/

import os
import json
import random
import numpy as np
import pandas as pd
from tqdm import tqdm

maz-1

# Maintainer: Carson Rueter <roachh at proton mail dot com>
# Co-Maintainer: George Sofianos
# Contributor: Christopher Snowhill <kode54 at gmail dot com>
# Contributor: ipha <ipha00 at gmail dot com>
# Contributor: johnnybash <georgpfahler at wachenzell dot org>
# Contributor: grmat <grmat at sub dot red>
# Contributor: maz-1 <ohmygod19993 at gmail dot com>

prefix='amdgpu-pro-'
postfix='-ubuntu-20.04'

maz-1

# Maintainer: Tolga Hosgor <fasdfasdas@gmail.com>

_pkgname=('ogre-next')
pkgname=("$_pkgname-git")
pkgver=r12810.1878563053
pkgrel=1
pkgdesc='Scene-oriented, flexible 3D engine written in C++'
arch=('i686' 'x86_64')
url='http://ogre3d.org'
license=('MIT')

maz-1

@echo off

SET CLOUDCOMPARE=C:\Program Files\CloudCompare\CloudCompare.exe
SET SRC_EXT=las
SET DST_EXT=e57
SET DST_FMT=E57

rem SET GLOBAL_SHIFT=AUTO
SET GLOBAL_SHIFT=-2677990.00 -1254460.00 -441.00

maz-1

var format = ".pts";
var filepath = new String();
filepath = "C:\\Users\\benoit.passot\\Documents\\";
var arrayCloudToExport=SCloud.FromSel();
for (i=0; i<arrayCloudToExport.length;i=i+1)
{
	var myCloudToExport=arrayCloudToExport[i];
	var myAlignedCloudName=myCloudToExport.GetName();
	var myFilePath1 = filepath;
	myFilePath1 += myAlignedCloudName;

maz-1

        const float resize_ratio = 2.0;
        actorDroneMesh = vtkSmartPointer<vtkLODActor>::New ();
        auto sharedData = SharedData::getSharedData(this->window());
        OpenMesh::PolyMesh_ArrayKernelT< > mesh_out;
        OpenMesh::IO::Options OptionRead(OpenMesh::IO::Options::Binary);
        QFile file_model(":/models/drone.stl");
        file_model.open(QIODevice::ReadOnly);
        QStdIStream drone_model_data(&file_model);
        OpenMesh::IO::read_mesh(mesh_out, drone_model_data, "stl", OptionRead);

maz-1

// assimp
#include <assimp/Importer.hpp>      // C++ importer interface
#include <assimp/scene.h>           // Output data structure
#include <assimp/postprocess.h>     // Post processing flags
#include <assimp/Exporter.hpp>

// openmesh
#include <OpenMesh/Core/IO/MeshIO.hh>
#include <OpenMesh/Core/Mesh/PolyMesh_ArrayKernelT.hh>

maz-1

// https://stackoverflow.com/questions/61318623/how-can-i-convert-cgal-points-into-pcl-point-cloud
template<class Pt>
static int convert_mesh_from_PCL_to_CGAL(pcl::PolygonMesh::Ptr PCL_mesh, CGAL::Surface_mesh<Pt>& CGAL_mesh, bool flipNormal = false)
{
    pcl::PointCloud<pcl::PointXYZ>::Ptr mesh_cloud (new pcl::PointCloud<pcl::PointXYZ>);
    pcl::fromPCLPointCloud2( PCL_mesh->cloud, *mesh_cloud );
    // clear and reserve the
    CGAL_mesh.clear();
    int n = mesh_cloud->size();
    int f = PCL_mesh->polygons.size();