Moe moeiscool

Cheap gear to get the job done

Reolink PoE 5MP RLC-522 - https://www.amazon.ca/gp/product/B01AL5D85W/ref=ppx_yo_dt_b_asin_title_o06_s00
Mokerlink 1 to 4 port PoE switch - https://www.amazon.ca/MokerLink-Ethernet-Support-IEEE802-3af-Fanless/dp/B07SGBQNLM/ref=sr_1_4
(Kind of works) Raspberry Pi 4 - https://www.amazon.ca/CanaKit-Raspberry-Starter-Kit-4GB/dp/B07WRMR2CX/ref=sr_1_4 3a. (Recommended) Nanopi R4S (Way better performance but likely has to ship from China, but it is the far superior device for same price)
Recommended: Also get yourself a USB 3.0 portable hard drive, preferably 2TB+, of your preferred brand

Also likely needed:

All the stuff to get CUDA 10.1 working with NVIDIA GPUs on Ubuntu 18.04. My notes.

Step 1: Install NVIDIA Driver

sudo apt install nvidia-driver-430
reboot
run nvidia-smi. If it does not show your GPU, stop, fix. If this doesn't work, nothing else will (the rest of the stuff will compile, but won't work)

Live streaming mpeg-dash video using ffmpeg and dash.js

Use ffmpeg to connect to an ip cctv camera and create video files on the fly that can be viewed in an mpeg-dash compatible browser using dash.js and an html5 video element.

Prerequisites

A linux server, such as Ubuntu

Apache web server installed, running, and reachable via its ip address

Partition, format, and mount a drive on Ubuntu

Reference:

https://www.howtogeek.com/106873/how-to-use-fdisk-to-manage-partitions-on-linux/

List logical disks and partitions

sudo fdisk -l

Partition the disk

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nVidia nvresize patch is outdated and not more compatible to the latest version of FFmpeg, so it's not included in this documentation.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

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:

	import 'dart:typed_data';

	import 'package:flutter/material.dart';
	import 'package:flutter_vlc_player/vlc_player.dart';
	import 'package:flutter_vlc_player/vlc_player_controller.dart';

	void main() => runApp(MyApp());

	class MyApp extends StatefulWidget {
	@override

	#!/bin/bash

	# =============================================================
	# UPDATE SOURCE
	# =============================================================
	# git clone https://github.com/tensorflow/tensorflow
	# git checkout -- .
	# git pull origin master
	# TF_BRANCH=r1.8
	TF_ROOT=/home/tensorflow

	#!/usr/bin/env node

	var http = require('http');

	var instanceId = "YOUR_INSTANCE_ID_HERE"; // TODO: Replace it with your gateway instance ID here
	var clientId = "YOUR_CLIENT_ID_HERE"; // TODO: Replace it with your Forever Green client ID here
	var clientSecret = "YOUR_CLIENT_SECRET_HERE"; // TODO: Replace it with your Forever Green client secret here

	var jsonPayload = JSON.stringify({
	number: "12025550108", // TODO: Specify the recipient's number here. NOT the gateway number

	Originall From: Posted 2015-05-29 http://ubwg.net/b/full-list-of-ffmpeg-flags-and-options

	This is the complete list that’s outputted by ffmpeg when running ffmpeg -h full.

	usage: ffmpeg [options] [[infile options] -i infile]… {[outfile options] outfile}…

	Getting help:
	-h — print basic options
	-h long — print more options
	-h full — print all options (including all format and codec specific options, very long)