Official Discussion Group (Telegram): https://t.me/video2x
Component names that are bolded is mandatory.
Component names that are italicized can be automatically downloaded and configured with the video2x_setup.py script.
- Operating System: Windows
- AMD GPU / Nvidia GPU
- AMD GPU driver / Nvidia GPU driver / Nvidia CUDNN
- FFMPEG
- waifu2x_caffe / waifu2x_converter_cpp
- Added AMD Support. You can now use
-d/--driver waifu2x_converterto specify the waifu2x driver to bewaifu2x_converter_cpp. Note that you'll have to download and configure waifu2x_converter_cpp first.
- Added the ability to specify the cache directories as required by @AusNaminator
- Fixed the problem where if there's insufficient RAM, the warning doesn't pause the script and prompt the user to reduce the amount of threads used.
- Some other minor adjustments.
- Fixed AAC codec error discovered by @meguerreroa
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
- Python 3
Download: https://www.python.org/downloads/windows/ - FFMPEG Windows Build
Download: https://ffmpeg.org/download.html - waifu2x-caffe for Windows
Download: https://github.com/lltcggie/waifu2x-caffe/releases
First, clone the video2x repository.
$ git clone https://github.com/K4YT3X/video2x.git
$ cd video2x/binThen you may run the video2x_setup.py script to install and configure the depencies automatically. This script is designed and tested on Windows 10.
This script will install ffmpeg, waifu2x-caffe to %LOCALAPPDATA%\\video2x and all python libraries.
$ python bin/video2x_setup.pyAlternatively, you can also install the dependencies manually. Please refer to the prerequisites section to see what's needed.
Then you'll need to install python dependencies before start using video2x. Install simply by executing the following command.
$ pip install -r requirements.txtEnlarge the video to 1920x1080 using CUDA. You may also use the -r/--ratio option.
$ python video2x.py -i video.mp4 -o video_output.mp4 -m gpu --width=1920 --height=1080Enlarge the video to 1920x1080 using CUDNN. You may also use the -r/--ratio option.
$ python video2x.py -i video.mp4 -o video_output.mp4 -m cudnn --width=1920 --height=1080Enlarge the video by 2 times using OpenCL. Note that waifu2x_converter_cpp doesn't support width and height.
$ python video2x.py -i video.mp4 -o video_output.mp4 -m gpu -r 2Enlarge the video to 1920x1080 using the CPU. You may also use the -r/--ratio option. This is potentially much slower than using a GPU.
$ python video2x.py -i video.mp4 -o video_output.mp4 -m cpu --width=1920 --height=1080usage: video2x.py [-h] -i INPUT -o OUTPUT -m {cpu,gpu,cudnn} -d
{waifu2x_caffe,waifu2x_converter}
[-y {upconv_7_anime_style_art_rgb,upconv_7_photo,anime_style_art_rgb,photo,anime_style_art_y}]
[-t THREADS] [-c CONFIG] [--width WIDTH] [--height HEIGHT]
[-r RATIO]
optional arguments:
-h, --help show this help message and exit
Basic Options:
-i INPUT, --input INPUT
Specify source video file/directory
-o OUTPUT, --output OUTPUT
Specify output video file/directory
-m {cpu,gpu,cudnn}, --method {cpu,gpu,cudnn}
Specify upscaling method
-d {waifu2x_caffe,waifu2x_converter}, --driver {waifu2x_caffe,waifu2x_converter}
Waifu2x driver
-y {upconv_7_anime_style_art_rgb,upconv_7_photo,anime_style_art_rgb,photo,anime_style_art_y}, --model_type {upconv_7_anime_style_art_rgb,upconv_7_photo,anime_style_art_rgb,photo,anime_style_art_y}
Specify model to use
-t THREADS, --threads THREADS
Specify number of threads to use for upscaling
-c CONFIG, --config CONFIG
Manually specify config file
Scaling Options:
--width WIDTH Output video width
--height HEIGHT Output video height
-r RATIO, --ratio RATIO
Scaling ratio
This project is based on the following softwares and projects.