yogeshnile

import json
import boto3
import requests
from datetime import datetime, timedelta

CLIENT = boto3.client('ce')

SLACK_WEBHOOK_URL = '' # Enter the slack webhook url.

def lambda_handler(event, context):

tclh123

#!/bin/bash

set -eu

NAMESPACE=$1
PVCNAME=$2
TARGETZONE=$3

# SNAPSHOTID is optional, if you did a snapshot already, you can pass it
SNAPSHOTID=${4:-}

gfodor

Minimalist static FFmpeg build on Ubuntu 18.10 with Nvidia NVENC enabled.

Original guide with a standard build is here.

With this guide, I'm adding more instructions to enable support for NVIDIA CUVID and NVIDIA NPP for enhanced encode and decode performance.

First, prepare for the build and create the work space directory:

cd ~/

trautonen

# Edit your fish prompt with `funced fish_prompt` and
# add the following to a desired place in the function.
# Save the prompt after editing with `funcsave fish_prompt`.

# Set a variable for workspace color.
set -l tfworkspace_color (set_color green)

# Append the workspace name at the current prompt position if
# the directory contains a .terraform subdirectory
if test -d .terraform

kiki67100

#!/bin/bash

#Verify the quality with difference bitrate ( crf no work with h264_videotoolbox use -b:v ) 
#You can use the same audio codec change -c:a ac3 to -c:a copy i use it because it work my multimedia player
for bitrate in 500k 1000k 1500k 2500k 3000k 3500k;do 
   ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k  -y -b:v $bitrate -ss 00:01:00 -t 00:00:10 Movie_$bitrate.mp4;
done

#With 2500k bitrate 
ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k -y -b:v $bitrate -b:a 128k Movie_$bitrate.mp4;

Brainiarc7

Build VAAPI with support for VP8/9 decode and encode hardware acceleration on a Skylake validation testbed:

Build platform: Ubuntu 16.04LTS.

First things first:

Install baseline dependencies first

sudo apt-get -y install autoconf automake build-essential libass-dev libtool pkg-config texinfo zlib1g-dev libva-dev cmake mercurial libdrm-dev libvorbis-dev libogg-dev git libx11-dev libperl-dev libpciaccess-dev libpciaccess0 xorg-dev intel-gpu-tools

w495

# -*- coding: utf8 -*-

import av

# Откроем ресурс на чтение
input_resource = av.open(
    'rtmp://src_stream:1935/play'
)
# Откроем ресурс на запись.
output_resource = av.open(

ekwoodrich

DVRIP/Sonia Protocol

DVRIP/Sonia TCP protocol used by the Net Surveillance ActiveX plugin

1. Response Codes

Return code	Definition
100	Success
101	Unknown error
102	Version not supported
103	Illegal request

Jiab77

Compilation FFMpeg / NVENC + NVRESIZE + QSV + VAAPI + VDPAU + OpenCL

This gist will help you to compile ffmpeg with NVENC, QSV, VAAPI, VDPAU, and OpenCL support.

nVidia nvresize patch is outdated and not more compatible to the latest version of FFmpeg, so it's not included in this documentation.

(even if I've passed a lot of time at trying to make it compile... without any success)

Please don't rely on this page: https://developer.nvidia.com/ffmpeg, the implementation is a hack and was never been added to the main FFmpeg tree.

takeshixx

Running Ubuntu 16.04.1 armhf on Qemu

This is a writeup about how to install Ubuntu 16.04.1 Xenial Xerus for the 32-bit hard-float ARMv7 (armhf) architecture on a Qemu VM via Ubuntu netboot.

The setup will create a Ubuntu VM with LPAE extensions (generic-lpae) enabled. However, this writeup should also work for non-LPAE (generic) kernels.

The performance of the resulting VM is quite good, and it allows VMs with >1G ram (compared to 256M on versatilepb and 1G on versatile-a9/versatile-a15). It also supports virtio disks whereas versatile-a9/versatile-a15 only support SD cards via the -sd argument.

Get netboot files