SteffenBlake

Cheap gear to get the job done

1. Reolink PoE 5MP RLC-522 - https://www.amazon.ca/gp/product/B01AL5D85W/ref=ppx_yo_dt_b_asin_title_o06_s00
2. Mokerlink 1 to 4 port PoE switch - https://www.amazon.ca/MokerLink-Ethernet-Support-IEEE802-3af-Fanless/dp/B07SGBQNLM/ref=sr_1_4
3. (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)
4. Recommended: Also get yourself a USB 3.0 portable hard drive, preferably 2TB+, of your preferred brand

Also likely needed:

mitchross

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

pliablepixels

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)

muendelezaji

#!/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

yonisetiawan

#!/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

kevinGodell

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

keithmorris

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

tayvano

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)

Jiab77

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

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.

See:

• https://ffmpeg.org/pipermail/ffmpeg-devel/2015-November/182781.html

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: