Brainiarc7

Quickly check for supported NVENC and NPP hardware acceleration capabilities in FFmpeg on your platform:

Depending on how you built ffmpeg, you may want to check the supported NVENC-based hardware acceleration capabilities in ffmpeg by running:

$ for i in encoders decoders filters; do
    echo $i:; ffmpeg -hide_banner -${i} | egrep -i "npp|cuvid|nvenc|cuda|nvdec"
done

Sample output (as on my testbed):

Brainiarc7

FFmpeg and libav's playbook: Advanced encoding options with hardware-based acceleration, NVIDIA's NVENC and Intel's VAAPI-based encoder.

Hello guys,

Continuing from this guide to building ffmpeg and libav with NVENC and VAAPI enabled, this snippet will cover advanced options that you can use with ffmpeg and libav on both NVENC and VAAPI hardware-based encoders.

For ffmpeg:

codingjester

require 'mechanize'

a = Mechanize.new

a.get('https://us.etrade.com/home') do |page|

  mypage = page.form_with(:action => '/login.fcc') do |f|
    f.USER = ARGV[0]
    f.PASSWORD = ARGV[1]
  end.click_button

schmmd

package com.nicta.scoobi.examples

import com.nicta.scoobi.Scoobi._
import com.nicta.scoobi.io.text._
import com.hadoop.mapreduce.LzoTextInputFormat


object Job extends ScoobiApp {
  def run() {
    val lines: DList[String] = TextInput.fromTextSource(

jstn

/*
	JSTN THEME FOR LIMECHAT 1.0
	
	put this and the other thing in ~/Library/Application Support/LimeChat/Themes/
	
	bg          1a2230
	hlight      273146
	red         e44347
	purps       8b84d0
	fuscia      c2339a

shamil

Use folowing steps to repackage dep package:

1: Extract deb package
    # dpkg-deb -x <package.deb> <dir>

2: Extract control-information from a package
    # dpkg-deb -e <package.deb> <dir/DEBIAN>

3. After completed to make changes to the package, repack the deb
    # dpkg-deb -b <dir> <new-package.deb>

elazarl

package main

import (
	"log"
	"io"
	"os"
	"crypto/tls"
	"strings"
	"net"
	"flag"