Video2X Video Enlarger

2.0.1 (Aug 1, 2018)

Fixed json decoding error

Description

Video2X is an automation software based on waifu2x image enlarging engine. It extracts frames from a video, enlarge it by a number of times without losing any details or quality, keeping lines smooth and edges sharp.

For short: Video2X enlarges your video without losing details

Watch for the sharper edges in this screenshot around the shadows:

Or you can watch the YouTube video Demo: https://www.youtube.com/watch?v=PG94iPoeoZk

Screenshot

Installation

Prerequisites

FFMPEG Windows Build
Download: https://ffmpeg.org/download.html
waifu2x-caffe for Windows
Download: https://github.com/lltcggie/waifu2x-caffe/releases

After downloading the dependencies, clone the video2x package.

$ git clone https://github.com/K4YT3X/video2x.git
$ cd video2x

Then you'll need to install python dependencies before start using video2x. Install simply by executing the following command.

$ sudo pip install -r requirements.txt

Quick Start

To enlarge a video on a computer with NVIDIA GPU

$ python video2x.py -v VIDEO_FILE -o OUTPUT_FILENAME -f TIMES_TO_ENLARGE --gpu

To enlarge a video on a computer without NVIDIA GPU

$ python video2x.py -v VIDEO_FILE -o OUTPUT_FILENAME -f TIMES_TO_ENLARGE --cpu

Full Usage

usage: video2x.py [-h] [-f FACTOR] [-v VIDEO] [-o OUTPUT] [-y MODEL_TYPE]
                  [--cpu] [--gpu] [--cudnn]

optional arguments:
  -h, --help            show this help message and exit

Controls:
  -f FACTOR, --factor FACTOR
                        Factor to enlarge video by
  -v VIDEO, --video VIDEO
                        Specify video file
  -o OUTPUT, --output OUTPUT
                        Specify output file
  -y MODEL_TYPE, --model_type MODEL_TYPE
                        Specify model to use
  --cpu                 Use CPU for enlarging
  --gpu                 Use GPU for enlarging
  --cudnn               Use CUDNN for enlarging

This project is based on the following softwares and projects.

FFMPEG
waifu2x caffe

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