kerm1t

A simple Ghostscript command to merge two PDFs in a single file is shown below:

gs -dNOPAUSE -sDEVICE=pdfwrite -sOUTPUTFILE=combine.pdf -dBATCH 1.pdf 2.pdf

Install Ghostscript:

Type the command sudo apt-get install ghostscript to download and install the ghostscript package and all of the packages it depends on.

	(1) Linux
	(2) Windows
	- a) download Eigen
	- b) build Eigen -> cmake .. --> msbuild .\Eigen3.sln
	- c) now add Eigen
	i) to CMakeLists
	# You have to set these variables as Windows environment variables:
	# EIGEN3_INCLUDE_DIR <- %EIGEN3_ROOT%
	# EIGEN3_DIR <- %EIGEN3_ROOT%\cmake
	#

	now with 2 facotor authentification it is more challenging to checkin (on a new laptop)
	using ssh is more easy, as you can create a public and private key and upload the pub key to github

	(1) ssh-keygen -t ed25519 -C "[email protected]"
	(2) got to ~/home/.ssh and open the pub key (there is 2 keys, private and public)
	(3) copy and paste the pub key to github settings
	(4) done

	…or create a new repository on the command line

	echo "# ecal_2ros" >> README.md
	git init
	git add README.md
	git commit -m "first commit"
	git branch -M main
	git remote add origin https://github.com/kerm1t/ecal_2ros.git
	git push -u origin main

	// minimal muPDF Hello world example, without any checks
	void first_pdf_smallified(int argc, char** argv)
	{
	fz_context* ctx;
	fz_document_writer* wri;

	ctx = fz_new_context(NULL, NULL, FZ_STORE_UNLIMITED);
	fz_register_document_handlers(ctx);

	char path[255] = ".\\test.pdf";

	@echo OFF
	rem How to run a Python script in a given conda environment from a batch file.

	rem It doesn't require:
	rem - conda to be in the PATH
	rem - cmd.exe to be initialized with conda init

	rem Define here the path to your conda installation
	set CONDAPATH=C:\ProgramData\Miniconda3
	rem Define here the name of the environment

	# -- coding: utf-8 --
	"""
	Spyder Editor
	This is a temporary script file.
	"""

	import matplotlib.pyplot as plt
	import numpy as np
	from PIL import Image

	def ransac_polyfit(x, y, order=3, n=20, k=100, t=0.1, d=100, f=0.8):
	# Thanks https://en.wikipedia.org/wiki/Random_sample_consensus

	# n – minimum number of data points required to fit the model
	# k – maximum number of iterations allowed in the algorithm
	# t – threshold value to determine when a data point fits a model
	# d – number of close data points required to assert that a model fits well to data
	# f – fraction of close data points required

	besterr = np.inf

	How to build SQLite3 .lib file on Windows 10
	Download source from source (https://www.sqlite.org/download.html)

	For example: source https://www.sqlite.org/2022/sqlite-amalgamation-3390300.zip

	Download binary from binary

	For example: binary https://www.sqlite.org/2022/sqlite-dll-win64-x64-3390300.zip

	Extract both archives to the same directory