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further organized the README file
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README.md
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README.md
@ -51,18 +51,24 @@ Clip is from trailer of animated movie "千と千尋の神隠し". Copyright bel
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## Screenshot
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## Screenshot
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![screenshot](https://user-images.githubusercontent.com/21986859/40265170-39c0caae-5b01-11e8-8371-8b6c24769639.png)
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![screenshot](https://user-images.githubusercontent.com/21986859/40265170-39c0caae-5b01-11e8-8371-8b6c24769639.png)
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## [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki)
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---
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## Documentations
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### [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki)
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You can find all detailed user-facing and developer-facing documentations in the [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki). It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.
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You can find all detailed user-facing and developer-facing documentations in the [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki). It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.
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## [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) (Nvidia GPUs)
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### [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) (Nvidia GPUs)
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For those who want a detailed walk-through of how to use `Video2X`, you can head to the [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video. This tutorial currently only includes instructions for Nvidia GPUs, since AMD GPUs (OpenCL) requires installation of `waifu2x-converter-cpp` which cannot be installed automatically with Python at the moment due to its 7z compression format.
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For those who want a detailed walk-through of how to use `Video2X`, you can head to the [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video. This tutorial currently only includes instructions for Nvidia GPUs, since AMD GPUs (OpenCL) requires installation of `waifu2x-converter-cpp` which cannot be installed automatically with Python at the moment due to its 7z compression format.
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## [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers)
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### [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers)
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Go to the [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers) wiki page if you want to see a detailed description on the different types of `waifu2x` drivers implemented by `Video2X`. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for `Video2X`.
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Go to the [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers) wiki page if you want to see a detailed description on the different types of `waifu2x` drivers implemented by `Video2X`. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for `Video2X`.
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---
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## Quick Start
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## Quick Start
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### Prerequisites
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### Prerequisites
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@ -150,6 +156,8 @@ Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio`
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$ python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cpu --width=1920 --height=1080
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$ python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cpu --width=1920 --height=1080
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```
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```
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---
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# Full Usage
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# Full Usage
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## General Options
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## General Options
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@ -194,6 +202,8 @@ $ python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cpu --width=1920
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### -b, --batch
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### -b, --batch
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Enable batch mode (select all default values to questions)
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Enable batch mode (select all default values to questions)
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---
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## License
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## License
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Licensed under the GNU General Public License Version 3 (GNU GPL v3)
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Licensed under the GNU General Public License Version 3 (GNU GPL v3)
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