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updated README for 2.8.0

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You can go to the [releases page](https://github.com/k4yt3x/video2x/releases) to download the latest builds of `Video2X`. The exe files will require no Python or Python module installation. You can go to the [releases page](https://github.com/k4yt3x/video2x/releases) to download the latest builds of `Video2X`. The exe files will require no Python or Python module installation.
The **`full`** package provides all packages that will possibly be needed by `Video2X`, including `FFmpeg`, `waifu2x-caffe` and `waifu2x-converter-cpp`. The config file (`video2x.json`) is also already configured for the environment. All you need to do is just to launch `video2x.exe`. The **`full`** package provides all packages that will possibly be needed by `Video2X`, including `FFmpeg`, `waifu2x-caffe`, `waifu2x-converter-cpp`, and `waifu2x-ncnn-vulkan`. The config file (`video2x.json`) is also already configured for the environment. All you need to do is just to launch `video2x.exe`.
The **`light`** package provides only the most basic functions of `Video2X`. Only `video2x.exe`, `video2x_setup.exe` and `video2x.json` are included. To setup `FFmpeg`, `waifu2x-caffe` or `waifu2x-converter-cpp` automatically, simply launch `video2x_setup.exe`. The **`light`** package provides only the most basic functions of `Video2X`. Only `video2x.exe`, `video2x_setup.exe` and `video2x.json` are included. To setup dependencies (e.g. `FFmpeg` and `Waifu2X`) automatically, simply launch `video2x_setup.exe`.
## Prerequisites ## Prerequisites
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## Recent Changes ## Recent Changes
### 2.8.0 (June 25, 2019)
- Added support for [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan)
### 2.7.1 (April 18, 2019) ### 2.7.1 (April 18, 2019)
- Fixed video2x custom temp folder bug found by @cr08 . - Fixed video2x custom temp folder bug found by @cr08 .
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- Redesigned FFmpeg wrapper, FFmpeg settings are now customizable in the `video2x.json` config file. - Redesigned FFmpeg wrapper, FFmpeg settings are now customizable in the `video2x.json` config file.
- Other minor enhancements and adjustments (e.g. argument -> method variable) - Other minor enhancements and adjustments (e.g. argument -> method variable)
### Setup Script 1.2.0 (March 26, 2019) ### Setup Script 1.3.0 (June 25, 2019)
- `video2x_setup.py` script can now automatically download and configure `waifu2x-converter-cpp`. - Added automatic installation support for `waifu2x-ncnn-vulkan`
- replaced old progress indicator with progress bar.
## Description ## Description
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Then you may run the `video2x_setup.py` script to install and configure the dependencies automatically. This script is designed and tested on Windows 10. Then you may run the `video2x_setup.py` script to install and configure the dependencies automatically. This script is designed and tested on Windows 10.
This script will install the newest version of `ffmpeg`, either or both of `waifu2x-caffe` and `waifu2x-converter-cpp` to `%LOCALAPPDATA%\\video2x` and all required python libraries. This script will install the newest version of `ffmpeg`, any one or all `waifu2x-caffe`, `waifu2x-converter-cpp`, and `waifu2x-ncnn-vulkan` to `%LOCALAPPDATA%\\video2x` and all required python libraries.
```shell ```shell
python video2x_setup.py python video2x_setup.py
@ -152,6 +155,12 @@ Enlarge the video by 2 times using OpenCL. Note that `waifu2x-converter-cpp` doe
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_converter python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_converter
``` ```
### AMD or Nvidia (waifu2x-ncnn-vulkan Vulkan)
```shell
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_ncnn_vulkan
```
### CPU ### CPU
Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio` option. This is potentially much slower than using a GPU. The configuration file for this method is similar to the previous methods. Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio` option. This is potentially much slower than using a GPU. The configuration file for this method is similar to the previous methods.