waxz
/ function-argument.cmake
Created
May 18, 2024 08:42
— forked from antiagainst/function-argument.cmake
ARGC, ARGV, ARGN, ARGVn in CMake
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| cmake_minimum_required(VERSION 2.8) | |
| function(use_llvm TARGET) | |
| message("ARGC=\"${ARGC}\"") | |
| message("ARGN=\"${ARGN}\"") | |
| message("ARGV=\"${ARGV}\"") | |
| message("ARGV0=\"${ARGV0}\"") | |
| message("ARGV1=\"${ARGV1}\"") | |
| endfunction() |
waxz
/ eigen_boost_serialization.hpp
Created
December 25, 2018 05:12
— forked from mtao/eigen_boost_serialization.hpp
Boost serialization for Eigen Matrix and SparseMatrix structures (plus triplets as a helper in SparseMatrix)
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| /* | |
| Copyright (c) 2015 Michael Tao | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: |
waxz
/ levmarq - Levenberg-Marquardt in plain C
Created
July 20, 2018 11:57
— forked from rbabich/ levmarq - Levenberg-Marquardt in plain C
A simple implementation of the Levenberg-Marquardt algorithm in plain C
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| This file (with a leading space) exists so that the gist has a sensible name, rather than "LICENSE." |
waxz
/ Timer.cpp
Created
July 18, 2018 03:49
— forked from mcleary/Timer.cpp
C++ Timer using std::chrono
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| #include <iostream> | |
| #include <chrono> | |
| #include <ctime> | |
| #include <cmath> | |
| class Timer | |
| { | |
| public: | |
| void start() | |
| { |
waxz
/ ralign
Created
June 6, 2018 15:33
— forked from CarloNicolini/ralign
Umeyama algorithm for absolute orientation problem in Python
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| """ | |
| RALIGN - Rigid alignment of two sets of points in k-dimensional | |
| Euclidean space. Given two sets of points in | |
| correspondence, this function computes the scaling, | |
| rotation, and translation that define the transform TR | |
| that minimizes the sum of squared errors between TR(X) | |
| and its corresponding points in Y. This routine takes | |
| O(n k^3)-time. | |
| Inputs: |