| # 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 |
| # Ignore everything | |
| ** | |
| # Allow files and directories | |
| !/audio.py | |
| !/Dockerfile | |
| !/hparams.py | |
| !/preprocess.py | |
| !/checkpoints/ | |
| !/evaluation/ |
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
| #!/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:[email protected]:8000/video.webm |
| #!BPY | |
| """ Registration info for Blender menus: | |
| Name: 'OGRE (.mesh.xml)...' | |
| Blender: 236 | |
| Group: 'Import' | |
| Tip: 'Import an Ogre-Mesh (.mesh.xml) file.' | |
| """ | |
| ''' |
| #!/usr/bin/env python | |
| import gtk, threading, datetime, urllib2, json | |
| import Image, ImageChops, ImageStat, StringIO | |
| CONFIG_FILE = "config.json" | |
| # config sample | |
| #{ | |
| # "sensivity": 10, |