msis

#!/bin/bash

# variables
old_organization_name="old_organization_name"
new_organization_name="new_organization_name"
parent_dir="$HOME/projects"

# iterate over all directories
for dir in "$parent_dir"/*/
do

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1. To disable the file creation: defaults write com.apple.desktopservices DSDontWriteNetworkStores true

2. To enable the file creation: defaults write com.apple.desktopservices DSDontWriteNetworkStores false

A restart is required for changes to take effect.

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find $SOURCE -type f | xargs -n1 -P4 -I% rsync -ahPv % $DESTINATION

msis

Keybase proof

I hereby claim:

• I am msis on github.
• I am msis (https://keybase.io/msis) on keybase.
• I have a public key ASBZJq2TgOf1QhpCevN0y80xAFS4_1EhJKfAlUlmM_cIWQo

To claim this, I am signing this object:

msis

Video conversion with FFmpeg

Command basics

Most basic conversion using Terminal: ffmpeg -i input.mov output.webm.

Strip audio

Flag: -an.

msis

python -m ipykernel install --user --name=XXX

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from django.core.management.base import BaseCommand, CommandError
from annotator.models import Video
import os
import json
import re
import os
import shutil

# referring to https://stackoverflow.com/questions/5967500/how-to-correctly-sort-a-string-with-a-number-inside for "human sorting"
def atoi(text):

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# things

gpsd -G -n /dev/ttyUSB0
gpspipe -d -r -t -o /home/user/`date -Iminutes`.nmea

# rest of the things
# always end with `exit 0`

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Install nvidia repo packages:

1. Download nvidia machine learning repo package:

wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb

2. Install that package:

sudo dpkg -i nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb

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Extract frames from video source

ffmpeg -i myvideo.mp4 -vf fps=4 frm%06d.jpg

Change frame rate of h264 video source

ffmpeg -y -i source.mp4 -r 25 -c:v libx264 -b:v 3M -strict -2 -movflags faststart destination.mp4