trevorlinton

Using Github with Two Factor Auth.

It's a fairly common complaint that after enabling github two factor authentication that command line utilities stop working. The underlying issue is command line utilities send your username and password with each request to github, using two factor authentication disables github from accepting just your username and password, so your command line utilities such as git appear to stop working. Github will still accept a personal access token instead of your password however.

Re-enabling your command line utilities (OSX)

det-peralta

sudo -i
apt-get install software-properties-common
add-apt-repository universe
apt-get update
apt-get install -y apparmor-utils apt-transport-https avahi-daemon ca-certificates curl dbus jq network-manager socat
#The jetson already has docker installed
#curl -fsSL get.docker.com | sh
curl -sL "https://raw.githubusercontent.com/home-assistant/hassio-installer/master/hassio_install.sh" | bash -s -- -m qemuarm-64

Amir22010

Convert PascalVOC Annotations to YOLO

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

mcvarer

#!/bin/bash
## This gist contains instructions about cuda v11.2 and cudnn 8.1 installation in Ubuntu 18.04 for PyTorch

#############################################################################################
##### forked by : https://gist.github.com/Mahedi-61/2a2f1579d4271717d421065168ce6a73 ########
#############################################################################################


### steps ####
# verify the system has a cuda-capable gpu

primus852

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check