traines-source

#!/bin/bash

TIMECUT_ARGUMENTS="--viewport=1920,1080 --fps=60 --pipe-mode"
LAUNCH_ARGUMENTS="--no-sandbox --disable-setuid-sandbox --allow-file-access-from-files"
WORKERS=3
START_TIME=0
FILE_TYPE=mp4

set -e

carylee

#!/usr/bin/env python3
import click
import ffmpeg
from matplotlib import pyplot as plt
import matplotlib
import face_recognition
from PIL import Image
import numpy as np

def face_location(filename):

wesbos

import speech from '@google-cloud/speech';
import fs from 'fs';
import dotenv from 'dotenv';

dotenv.config();

async function main() {
  const client = new speech.SpeechClient();

  const config = {

maitrungduc1410

#!/usr/bin/env bash
START_TIME=$SECONDS
set -e

echo "-----START GENERATING HLS STREAM-----"
# Usage create-vod-hls.sh SOURCE_FILE [OUTPUT_NAME]
[[ ! "${1}" ]] && echo "Usage: create-vod-hls.sh SOURCE_FILE [OUTPUT_NAME]" && exit 1

# comment/add lines here to control which renditions would be created
renditions=(

jessuni

// rename gist

jordicenzano

#!/usr/bin/env bash

# We assume ffmpeg installed (recommened v 4+)

# Acts as RMTP server for application named live (expects stream)
# transcodes the media data into h264-aac, craetes HLS 4s chunks,
# and sends the data to ~/origin

# Create 1 rendition1
# 854x480@30fps 1000Kbps (+ Overlay)

daliborgogic

FROM node:8.7.0-slim

RUN apt-get update && \
  apt-get install -yq gconf-service libasound2 libatk1.0-0 libc6 libcairo2 libcups2 libdbus-1-3 \
  libexpat1 libfontconfig1 libgcc1 libgconf-2-4 libgdk-pixbuf2.0-0 libglib2.0-0 libgtk-3-0 libnspr4 \
  libpango-1.0-0 libpangocairo-1.0-0 libstdc++6 libx11-6 libx11-xcb1 libxcb1 libxcomposite1 \
  libxcursor1 libxdamage1 libxext6 libxfixes3 libxi6 libxrandr2 libxrender1 libxss1 libxtst6 \
  ca-certificates fonts-liberation libappindicator1 libnss3 lsb-release xdg-utils wget

RUN npm i puppeteer micro qs

ktmud

import re
import email.charset
from pathlib import Path
from glob import glob
from email import message_from_binary_file, policy

RE_QUOPRI_BS = re.compile(r'\b=20=\n')
RE_QUOPRI_LE = re.compile(r'\b=\n')
RE_LONG_WORDS = re.compile(r'\b[\w\/\+\=\n]{72,}\b')

lukebussey

Direct copy of pre-encoded file:

$ ffmpeg -i filename.mp4 -codec: copy -start_number 0 -hls_time 10 -hls_list_size 0 -f hls filename.m3u8

noeljackson

#from https://www.linux.com/learn/how-use-docker-machine-create-swarm-cluster
#export digital ocean token
export DO_TOKEN="abcdefghijklmnopqrstuvwxyz"

#make keystore
docker-machine create -d digitalocean \
-digitalocean-access-token ${DO_TOKEN} \
--digitalocean-region "nyc1" \
--digitalocean-image="ubuntu-14-04-x64" \
--digitalocean-size "512mb" \