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	Video2X Video Enlarger
Current Version: 2.0 beta
2.0 Beta Changes
- Fixed contents meant for demonstration
- Fixed audio issues
- Better CUI
- Now using absolute path for every file
- Added progress bar for showing waifu2x enlarging progress
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
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
Description
				A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
						
						
						
							
							anime4kmachine-learningncnnneural-networkpythonqt5realsrrifesrmdsuper-resolutionupscalingvideovideo-enlargervulkanwaifu2x
						
						
						
							
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