- Create or find a gist that you own.
- Clone your gist (replace
<hash>
with your gist's hash):# with ssh git clone [email protected]:<hash>.git mygist # with https
git clone https://gist.github.com/.git mygist
<hash>
with your gist's hash):
# with ssh
git clone [email protected]:<hash>.git mygist
# with https
git clone https://gist.github.com/.git mygist
#!/bin/bash | |
# bash generate random alphanumeric string | |
# | |
# bash generate random 32 character alphanumeric string (upper and lowercase) and | |
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1) | |
# bash generate random 32 character alphanumeric string (lowercase only) | |
cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1 |
A full OpenGL profile requires X to be running. For X to run, it requires a display to be connected to the machine. Given that most server machines do not have this, it becomes difficult to run OpenGL.
This document details how to get OpenGL and X up and running without having a display connected to the sevrer.
You will need access to the remote system over SSH.
To run the tool, you will need libGL.so
and libX11.so
. These are installed when X and the NVIDIA Drivers are installed. So there is nothing special required to install these.
Another tool I would recommend strongly is glewinfo. Most linux distributions ship this with the glew-utils package. An alternate to glewinfo is glxinfo which is present on all systems with X. You can substitute glewinfo with glxinfo in all the commands below if needed.
#!/bin/sh | |
######Usage####### | |
# ./dgoogle_download.sh FILE_ID OUTPUT_NAME | |
## Remember to chomod +x dgoogle_download.sh | |
#This scrip is based on https://unix.stackexchange.com/questions/136371/how-to-download-a-folder-from-google-drive-using-terminal | |
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
Here you'll learn how to build Tensorflow for the raspberry pi 3 with either the Python API or as a standalone shared library which can be interfaced from the C++ API and eventually as a library which can be used in other languages.
For the C++ library this tutorial will show you how extract tensorflow library and headers to use in any environment you want.
(This tutorial couldn't be possible without the help of the people from the References section)
Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma
You can get the list of supported formats with:
ffmpeg -formats
Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz:
#!/usr/bin/env bash | |
# Create isolated ROS Workspace | |
cd ~ | |
mkdir ros_py35 | |
cd ros_py35 | |
# Unset sourced workspace | |
# Go to ~/.bashrc and comment out lines from previous installation of ROS (Lunar) |