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Project description
Final2x-core is a cross-platform image super-resolution CLI tool for Final2x. If you have any questions, please raise an issue in this repository.
Install
Download in Release or use pip (python >= 3.8, >=3.9 for MacOS arm64)
pip install Final2x-core
Use
usage: Final2x-core [-h] [-b BASE64] [-j JSON] [-y YAML] [-o]
when para is not specified, the config.yaml file in the directory will be read automatically
optional arguments:
-h, --help show this help message and exit
-b BASE64, --BASE64 BASE64
base64 string for config json
-j JSON, --JSON JSON JSON string for config
-y YAML, --YAML YAML yaml config file path
-l, --LOG save log
-c, --CACHE cache models
Config
Pass the config json string to the program through the -j
parameter.
PLEASE NOTE: the config is JSON, remove the // comments before use.
{
"gpuid": 0,
// GPU id, >= -1 (-1 for CPU, may not work for some models.)
"inputpath": [
// Input image paths, should be a list.
"path/to/img1.jpg",
"path/to/img2.png"
],
"model": "RealCUGAN-pro",
// model name
"modelscale": 2,
// model upscale factor
"modelnoise": -1,
// DENOISE level
"outputpath": "path/to/output",
// output path
"targetscale": 2.0,
// Target upscale factor, upscale multiple times to achieve the target upscale factor.
// If not invalid, use modelscale.
"tta": false
// Test Time Augmentation, default false
}
SUPPORTED MODEL LIST:
- RealCUGAN-se:
- model: "RealCUGAN-se"
- scale: 2
- noise: -1, 0, 1, 2, 3
- scale: 3, 4
- noise: -1, 0, 3
- RealCUGAN-pro:
- model: "RealCUGAN-pro"
- scale: 2, 3
- noise: -1, 0, 3
- APISR-RRDB:
- model: "APISR-RRDB"
- scale: 4
- RealESRGAN-animevideov3:
- model: "RealESRGAN-animevideov3"
- scale: 2, 3, 4
- RealESRGAN:
- model: "RealESRGAN"
- scale: 4
- RealESRGAN-anime:
- model: "RealESRGAN-anime"
- scale: 4
- Waifu2x-cunet:
- model: "Waifu2x-cunet"
- scale: 1
- noise: 0, 1, 2, 3
- scale: 2
- noise: -1, 0, 1, 2, 3
- Waifu2x-upconv_7_anime_style_art_rgb:
- model: "Waifu2x-upconv_7_anime_style_art_rgb"
- scale: 2
- noise: -1, 0, 1, 2, 3
- Waifu2x-upconv_7_photo:
- model: "Waifu2x-upconv_7_photo"
- scale: 2
- noise: -1, 0, 1, 2, 3
Build
The project just only been tested in Ubuntu 18+ and Debian 9+ environments on Linux, so if the project does not work on your system, please try building it.
Reference
The following references were used in the development of this project:
- ncnn - ncnn is a high-performance neural network inference framework developed by Tencent AI Lab.
- nihui/realcugan-ncnn-vulkan - This project provided the core implementation of the Real-CUGAN algorithm using the ncnn and Vulkan libraries.
- xinntao/Real-ESRGAN-ncnn-vulkan - This project provided the core implementation of the Real-ESRGAN algorithm using the ncnn and Vulkan libraries.
- nihui/waifu2x-ncnn-vulkan - This project provided the core implementation of the Waifu2x algorithm using the ncnn and Vulkan libraries.
- realcugan-ncnn-py - This project provided the Python Binding for realcugan-ncnn-vulkan with PyBind11.
- realesrgan-ncnn-py - This project provided the Python Binding for realesrgan-ncnn-vulkan with PyBind11.
- waifu2x-ncnn-py - This project provided the Python Binding for waifu2x-ncnn-vulkan with PyBind11.
License
This project is licensed under the BSD 3-Clause - see the LICENSE file for details.
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