vido89

#!/usr/bin/env python

import gtk, threading, datetime, urllib2, json
import Image, ImageChops, ImageStat, StringIO

CONFIG_FILE = "config.json"

# config sample
#{
#  "sensivity": 10,

vido89

#!BPY

""" Registration info for Blender menus:
Name: 'OGRE (.mesh.xml)...'
Blender: 236
Group: 'Import'
Tip: 'Import an Ogre-Mesh (.mesh.xml) file.'
"""

'''

vido89

#!/bin/bash

# Stream Desktop (1920x1200) at 25fps scaled down to 1280x800
ffmpeg -video_size 1920x1200 -framerate 25 -f x11grab -i :0.0 -f webm -r 25 -s 1280x800 -cluster_size_limit 2M -cluster_time_limit 5100 -content_type video/webm -c:v libvpx -b:v 1M -crf 30 -g 125 -deadline good -threads 4 icecast://source:supersecretpassword@host.example.com:8000/video.webm

vido89

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

vido89

# Ignore everything
**

# Allow files and directories
!/audio.py
!/Dockerfile
!/hparams.py
!/preprocess.py
!/checkpoints/
!/evaluation/

vido89

# install conda
conda create -n py37wav2lip python=3.7
conda activate py37wav2lip
# double upgrade might be unnecessary, just in case (for problem with py36 opencv-contrib-python wheel)
pip install --upgrade pip setuptools wheel
pip install --upgrade pip
sudo apt install ffmpeg
git clone https://github.com/Rudrabha/Wav2Lip.git
cd Wav2Lip

vido89

/*/
/* Change Search Button Text
/*/

add_filter('get_search_form', 'my_search_form');
 
function my_search_form($text) {
     $text = str_replace('value="Search"', 'value="ok"', $text); //set as value the text you want
     return $text;
}