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@wuthmone
wuthmone / opencv3.3.0_python3.5_ubuntu17.05_installaion.sh
Created October 26, 2017 04:32
OpenCV 3.3.0 with Python 3.5 installation on Ubuntu 17.04
# OpenCV 3.3.0 with Python 3.5 installation on Ubuntu 17.04
# Last Tested Date: 26th Oct 2017 12:23 PM
# Authour : Wut Hmone Hnin Hlaing
# Update and Upgrade required library
sudo apt-get update
sudo apt-get upgrade
# Necessary packages
@arundasan91
arundasan91 / CaffeInstallation.md
Created April 2, 2016 22:16
Caffe Installation Tutorial for beginners

Caffe

Freshly brewed !

With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.

Installation Instructions (Ubuntu 14 Trusty)

The following section is divided in to two parts. Caffe's documentation suggest

@ericandrewlewis
ericandrewlewis / index.md
Last active November 24, 2023 14:07
C++ Pointer Tutorial

C++ Pointer Tutorial

Because pointers can be ugh

"Regular" variables (not pointers)

To understand a pointer, let's review "regular" variables first. If you're familiar with a programming language without pointers like JavaScript, this is what you think when you hear "variable".

When declaring a variable by identifier (or name), the variable is synonymous with its value.

@bmcbride
bmcbride / routeshoot-kml-to-srt.py
Last active March 25, 2019 09:24
Python script to convert a RouteShoot generated .kml file into an .srt subtitle file for overlaying info on the video. Add the following tag to the YouTube video to force showing the captions when the video plays: yt:cc=on.
import xml.etree.ElementTree as ET
metric = 0
kml = raw_input('Enter the KML file path and name: ')
srt = kml.replace('.kml', '.srt');
file = open(srt, 'w')
if metric == 1:
speedUnits = '(km/h)'
altitudeUnits = '(m)'