hideojoho

How to set up Ubuntu Server 20.04 with GPU to use TensorFlow and Pytorch via JupyterLab on Docker

Environment

• Ubuntu Server 20.04
• CUDA Driver 10.2
• Docker 19.03
• NVIDIA Container Toolkit 2.3.0
• NVIDIA RTX 2080ti (or other supported GPUs)

mcotton

#.bashrc

alias disableGUI='sudo systemctl set-default multi-user.target'
alias enableGUI='sudo systemctl set-default graphical.target'
alias startGUI='sudo systemctl start gdm3.service'
alias stopGUI='sudo systemctl stop gdm3.service'

/usr/bin/setxkbmap -option "caps:escape"

if [ -f ~/dev/personal/dot_files/.docker_aliases ]; then

rudolfratusinski

Preparation

• In open Ubuntu 18.04 machine click Parallels Actions -> "Install Parallels Tools"

• A "Parallels Tools" CD will popup on your Ubuntu desktop.

• Open it by double mouse click, copy all the content to a new, empty directory on a desktop, name it for e.g. "parallels_fixed"

• Open terminal, change directory to parallels_fixed (cd ~/Desktop/parallels_fixed)

• Make command line installer executable (chmod +x install)

• Change directory to "installer" (cd installer)

• Make few other scripts executable: chmod +x installer.* *.sh prl_*

baoilleach

convert  CID10033747.png CID9919714.png CID10033747.png -loop 0 -morph 9 -gravity South -annotate 1x1 "%t" -set delay "%[fx:(t%10!=0 || t==n-1)?10:240]" morph.gif

dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

charlee

# losslessly concat mp4 files
ffmpeg -i input1.mp4 -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate1.ts
ffmpeg -i input2.mp4 -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate2.ts
ffmpeg -i "concat:intermediate1.ts|intermediate2.ts" -c copy -bsf:a aac_adtstoasc output.mp4

# concat files with the same format
# 1. create a file list
file '/path/to/file1'
file '/path/to/file2'
file '/path/to/file3'

npinto

import cv2
import cv2.cv as cv


def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml',
           scaleFactor=1.3, minNeighbors=4, minSize=(20, 20),
           flags=cv.CV_HAAR_SCALE_IMAGE):

    cascade = cv2.CascadeClassifier(cascade_fn)
    rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor,

TooTallNate

Copy this file to: /Library/LaunchDaemons/fwd-80-to-3000.plist and then reboot:

$ sudo -s
$ curl -L https://gist.github.com/TooTallNate/3372589/raw/ace6451e9e47f59550f12d09cb924a64531cfd1f/fwd-80-to-3000.plist > /Library/LaunchDaemons/fwd-80-to-3000.plist
$ reboot

saetia

OS X Preferences

---

most of these require logout/restart to take effect

# Enable character repeat on keydown
defaults write -g ApplePressAndHoldEnabled -bool false

# Set a shorter Delay until key repeat

rmurphey

Bootstrap

• Run software update
• Download & install XCode in App Store
• Install Google Chrome and enable syncing -- ensure 3rd party cookies are disabled
• Install homebrew
• brew install git
• brew install wget
• Copy ssh keys
• git clone git@github.com:rmurphey/dotfiles.git