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@jeznag
jeznag / app.html
Created January 19, 2019 05:36
Example Zoho CRM widget to allow TSV data downloads
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<style>
[data-download] {
color: blue;
}
[data-download][href="#"] {
@Brainiarc7
Brainiarc7 / ffmpeg-qsv-enabled-build-ubuntu-18.04lts-testbed.md
Last active January 8, 2024 21:00
This gist will generate an Intel QSV-enabled FFmpeg build using the open source Intel Media SDK. Testbed used: Ubuntu 18.04LTS. A fallback is also provided for the intel vaapi driver where needed.

Build FFmpeg with Intel's QSV enablement on an Intel-based validation test-bed:

Build platform: Ubuntu 18.04LTS

Ensure the platform is up to date:

sudo apt update && sudo apt -y upgrade && sudo apt -y dist-upgrade

Install baseline dependencies first (inclusive of OpenCL headers+)

@Jiab77
Jiab77 / ffmpeg.md
Last active August 9, 2022 21:40
Compilation FFMpeg / NVENC + QSV + VAAPI + VDPAU + OpenCL

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nVidia nvresize patch is outdated and not more compatible to the latest version of FFmpeg, so it's not included in this documentation.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

@Brainiarc7
Brainiarc7 / ffmppeg-advanced-playbook-nvenc-and-libav-and-vaapi.md
Last active May 5, 2023 01:51
FFMpeg's playbook: Advanced encoding options with hardware-accelerated acceleration for both NVIDIA NVENC's and Intel's VAAPI-based hardware encoders in both ffmpeg and libav.

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:

@Brainiarc7
Brainiarc7 / VAAPI-hwaccel-encode-Linux-Ffmpeg&Libav-setup.md
Last active March 26, 2024 18:18
This gist contains instructions on setting up FFmpeg and Libav to use VAAPI-based hardware accelerated encoding (on supported platforms) for H.264 (and H.265 on supported hardware) video formats.

Using VAAPI's hardware accelerated video encoding on Linux with Intel's hardware on FFmpeg and libav

Hello, brethren :-)

As it turns out, the current version of FFmpeg (version 3.1 released earlier today) and libav (master branch) supports full H.264 and HEVC encode in VAAPI on supported hardware that works reliably well to be termed "production-ready".

@revolunet
revolunet / ffmpeg-tips.md
Last active October 6, 2023 17:47
ffmpeg tips

libcaca output from your OSX webcam

ffmpeg -f avfoundation -framerate 30 -s "640x480" -i "0" -c:v rawvideo -pix_fmt rgb24 -f caca -s "640x480" output4.mp4

brew install ffmpeg with options

brew install homebrew-ffmpeg/ffmpeg/ffmpeg --with-libcaca

convert to another format, resize withouth quality loss

ffmpeg -i vitrine.mp4 -vf scale=1024:-1 -q:vscale 0 vitrine.avi

@learncodeacademy
learncodeacademy / cluster.md
Created October 9, 2014 18:11
Node Cluster - Enhance your node app by using all the cores of your processor.

Here's all you have to do to add clustering to your node.js application.

  • save this code as cluster.js, and run cluster.js instead of server.js (or /bin/www, or whatever it's called for your project)
  • the only line you'll need to change is the last line - it needs to point to the location of your server.js file
var cluster = require('cluster');

if (cluster.isMaster) {
  // Count the machine's CPUs
 var cpuCount = require('os').cpus().length;
@rtt
rtt / tinder-api-documentation.md
Last active May 5, 2024 15:28
Tinder API Documentation

Tinder API documentation

Note: this was written in April/May 2014 and the API may has definitely changed since. I have nothing to do with Tinder, nor its API, and I do not offer any support for anything you may build on top of this. Proceed with caution

http://rsty.org/

I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)

@vishaltelangre
vishaltelangre / post_message_example.js
Last active March 24, 2022 04:47
window.postMessage example
// recieve message
// event object contains:
// - data: message sent
// - origin (host from which the message was sent, e.g. http://blah.example.com)
// - source (reference to a Window object from which message was sent)
function postMessageHandler( event ) {
console.log("We've got a message!");
console.log("* Message:", event.data);
console.log("* Origin:", event.origin);
console.log("* Source:", event.source);
@nrk
nrk / command.txt
Created April 2, 2012 19:19
Using ffprobe to get info from a file in a nice JSON format
ffprobe -v quiet -print_format json -show_format -show_streams "lolwut.mp4" > "lolwut.mp4.json"