bwv988

Converting and merging GoPro videos on Linux

RS20230507

1. Copy all raw videos into a folder.
2. Install / Use Handbrake to batch-convert (queue) all videos into an output directory using an appropriate Preset, for example Fast1030p30.
3. Once completed, use ffmpeg to concatenate all videos in the output directory into a single .mp4 file:

$ find *.mp4 -printf "file '%p'\n" | tee mp4_list.txt
$ ffmpeg -f concat -i mp4_list.txt -c copy ../gopro_merged/merged.mp4

bwv988

Instructions for Azure VM

FIXME VNC sucks. Better to use RDP. https://www.tecmint.com/install-xrdp-on-ubuntu/

FIXME: Port forwarding.

RS20220627

Useful links

bwv988

# Add this to bash profile
export CLICOLOR=1
export LSCOLORS=GxFxCxDxBxegedabagaced
export PS1="[\[\e[33;1;40m\]\t\[\e[0m\]][\u@\h:\[\e[37;1;40m\]\w\[\e[0m\]]\$ "

# This adds the current git branch to the PS1 string started above.
function execute_parse {
  git branch --no-color 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/(\1)/'
}

bwv988

airlinePlot = {
  var myPlot = html`<div></div>`;
  
  var trace1 = {
    x: airlineData.map(function(d){
      return d["Month"];
    }),
    y: airlineData.map(function(d){
      return d["International airline passengers: monthly totals in thousands. Jan 49 ? Dec 60"];
    })

bwv988

version: '2'
services:
  kaggle:
    image: kaggle/python
    container_name: kaggle
    command: jupyter notebook --allow-root --no-browser --ip="0.0.0.0" --notebook-dir=/notebooks --NotebookApp.token='' --allow-root
    user: root
    ports:
      - "8888:8888"
    volumes:

bwv988

bwv988

# Generate word clouds from R.
# RS10062015

# May need to install the below packages.

#req <- c("wordcloud", "tm")
#install.packages(req)

library(tm)
library(wordcloud)

bwv988

startup_message off
vbell off
hardstatus alwayslastline
hardstatus string '%{gk}[ %{G}%H %{g}][%= %{wk}%?%-Lw%?%{=b kR}(%{W}%n*%f %t%?(%u)%?%{=b kR})%{= kw}%?%+Lw%?%?%= %{g}]%{=y C}[%d/%m %c]%{W}'

bwv988

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// 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

bwv988

import pandas as pd
import numpy as np

# I want to clean col2. This records equipemnts.
data = {'col1': [1, 2, 4], 'col2': ["e70", "e70 e80 ua", "b20"]}

# Create a Pandas data frame.
df = pd.DataFrame(data)

# Quick helper function to flatten a nested list.