mr1985 mr1985

## forex_trader.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy
import pandas
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# Scikit's LinearRegression model
from sklearn.linear_model import LinearRegression
from scipy import stats
import math

## jp-tv.m3u
#EXTM3U
#EXTINF:0,NTV News24
http://www.news24.jp/livestream/index.m3u8
#EXTINF:0,GSTV
https://gemstv.wide-stream.net/gemstv01/smil:gemstv01.smil/chunklist.m3u8
#EXTINF:0,NHK World Japan live
https://nhkworld.webcdn.stream.ne.jp/www11/nhkworld-tv/global/2003458/live.m3u8
#EXTINF:0,ウェザーニュース
http://movie.mcas.jp/mcas/wn1_2/master.m3u8
#EXTINF:0,WOWOWシネマ

## compile-ffmpeg-nvenc.sh
#!/bin/bash

#This script will compile and install a static ffmpeg build with support for nvenc un ubuntu.
#See the prefix path and compile options if edits are needed to suit your needs.

#install required things from apt
installLibs(){
echo "Installing prerequisites"
sudo apt-get update
sudo apt-get -y --force-yes install autoconf automake build-essential libass-dev libfreetype6-dev libgpac-dev \

## README.md

      
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                mr1985
                / README.md
            
            
              Created
              February 26, 2019 09:20
                — forked from mrbar42/README.md
            
              
                bash scripts to create VOD HLS stream with ffmpeg almighty (tested on Linux and OS X)
              
          
    running:
bash create-vod-hls.sh beach.mkv

will produce:
    beach/
      |- playlist.m3u8
 |- 360p.m3u8


## cmaf.sh
 #! /bin/sh

 file="bbb_sunflower_2160p_30fps_normal.mp4"
 timestamp=`date +%s`
 ffmpeg="docker run --rm -it --workdir /tmp -v $PWD:/tmp kynothon/moviola:4.0-alpine "
 bento4="docker run -it --rm -u $(id -u):$(id -g) -v $PWD:/tmp --workdir /tmp ggoussard/bento4docker "

 echo "Getting the file"
 curl -LO http://distribution.bbb3d.renderfarming.net/video/mp4/bbb_sunflower_2160p_30fps_normal.mp4
	#!/usr/bin/env python
	# -- coding: utf-8 --
	import numpy
	import pandas
	import matplotlib.pyplot as plt
	import matplotlib.dates as mdates
	# Scikit's LinearRegression model
	from sklearn.linear_model import LinearRegression
	from scipy import stats
	import math
	#EXTM3U
	#EXTINF:0,NTV News24
	http://www.news24.jp/livestream/index.m3u8
	#EXTINF:0,GSTV
	https://gemstv.wide-stream.net/gemstv01/smil:gemstv01.smil/chunklist.m3u8
	#EXTINF:0,NHK World Japan live
	https://nhkworld.webcdn.stream.ne.jp/www11/nhkworld-tv/global/2003458/live.m3u8
	#EXTINF:0,ウェザーニュース
	http://movie.mcas.jp/mcas/wn1_2/master.m3u8
	#EXTINF:0,WOWOWシネマ
	#!/bin/bash

	#This script will compile and install a static ffmpeg build with support for nvenc un ubuntu.
	#See the prefix path and compile options if edits are needed to suit your needs.

	#install required things from apt
	installLibs(){
	echo "Installing prerequisites"
	sudo apt-get update
	sudo apt-get -y --force-yes install autoconf automake build-essential libass-dev libfreetype6-dev libgpac-dev \
	#! /bin/sh

	file="bbb_sunflower_2160p_30fps_normal.mp4"
	timestamp=`date +%s`
	ffmpeg="docker run --rm -it --workdir /tmp -v $PWD:/tmp kynothon/moviola:4.0-alpine "
	bento4="docker run -it --rm -u $(id -u):$(id -g) -v $PWD:/tmp --workdir /tmp ggoussard/bento4docker "

	echo "Getting the file"
	curl -LO http://distribution.bbb3d.renderfarming.net/video/mp4/bbb_sunflower_2160p_30fps_normal.mp4