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RameshKamath / boost-windows.md
Last active May 13, 2020 12:20 — forked from sim642/boost-windows.md
Installing boost libraries for GCC (MinGW) on Windows

Installing boost libraries for Windows

Folder setup

  1. Extract downloaded Boost Source, e.g. C:\Program Files\boost_1_59_0.
  2. Create a folder for Boost.Build installation, e.g. C:\Program Files\boost-build.
  3. Create a folder within boost source for building, i.e. C:\Program Files\boost_1_59_0\build.
  4. Create a folder as Boost Binary location for installation, e.g. C:\Program Files\boost.

Compiler Setup

  1. Open Command prompt/Terminal.
@RameshKamath
RameshKamath / Instrumentor.h
Created February 7, 2020 05:53 — forked from TheCherno/Instrumentor.h
Basic Instrumentation Profiler
//
// Basic instrumentation profiler by Cherno
// Usage: include this header file somewhere in your code (eg. precompiled header), and then use like:
//
// Instrumentor::Get().BeginSession("Session Name"); // Begin session
// {
// InstrumentationTimer timer("Profiled Scope Name"); // Place code like this in scopes you'd like to include in profiling
// // Code
// }
@RameshKamath
RameshKamath / elevation_google_maps_API.py
Last active April 12, 2018 08:41 — forked from Alliages/elevation.py
A very simple python script that get elevation from latitude and longitude with google maps API
#
# elevation_google_maps: A very simple python script that get elevation from latitude and longitude with google maps API by Guillaume Meunier
# -- with edits from Ramesh Kamath <rkamath.1995@gmail.com>
#
# -----------------------------------
# NO DEPENDANCIES except JSON and REQUESTS
# -----------------------------------
#
# Copyright (c) 2016, Guillaume Meunier <alliages@gmail.com>
# GEOJSON_export is free software; you can redistribute it and/or modify
@RameshKamath
RameshKamath / kitti_lidar.py
Last active February 25, 2020 00:01 — forked from ronrest/kitti_lidar.py
Visualize Lidar Data in Kitti Data
"""
VISUALISE THE LIDAR DATA FROM THE KITTI DATASET
Based on the sample code from
https://github.com/utiasSTARS/pykitti/blob/master/demos/demo_raw.py
And:
http://stackoverflow.com/a/37863912
Contains two methods of visualizing lidar data interactively.
- Matplotlib - very slow, and likely to crash, so only 1 out of every 100