Ramesh Kamath RameshKamath

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Software Engineer with interest in Machine learning, Web development, and MR technologies

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

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

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 / 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 <[email protected]>
	#
	# -----------------------------------
	# NO DEPENDANCIES except JSON and REQUESTS
	# -----------------------------------
	#
	# Copyright (c) 2016, Guillaume Meunier <[email protected]>
	# GEOJSON_export is free software; you can redistribute it and/or modify

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