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If you have any questions, please raise an issue [in this repository](https://github.com/Tohrusky/Final2x).\n\n### Install\n\nDownload in [Release](https://github.com/Tohrusky/Final2x-core/releases) or use pip to install (Linux User).\n\nMake sure you have Python \u003e= 3.9 and PyTorch \u003e= 1.13 installed\n\n```shell\npip install Final2x-core\n```\n\n### cli\n\n```shell\nusage: Final2x-core [-h] [-b BASE64] [-j JSON] [-y YAML] [-l] [-n]\n\nwhen para is not specified, the config.yaml file in the directory will be read automatically\n\noptions:\n  -h, --help            show this help message and exit\n  -b BASE64, --BASE64 BASE64\n                        base64 string for config json\n  -j JSON, --JSON JSON  JSON string for config\n  -y YAML, --YAML YAML  yaml config file path\n  -l, --LOG             save log\n  -n, --NOTOPENFOLDER   don't open output folder\n```\n\n### Config\n\nRefer to config.yaml which generated by the following command:\n\n```shell\nmake gen\n```\n\n### Reference\n\nThe following references were used in the development of this project:\n\nAfter v3.0.0, ncnn will be deprecated, and the project will use ccrestoration(PyTorch) as the algorithm implementation.\n\n- [ccrestoration](https://github.com/TensoRaws/ccrestoration)\n- [PyTorch](https://github.com/pytorch/pytorch)\n\n---\n\n- [ncnn](https://github.com/Tencent/ncnn)\n\n### License\n\nThis project is licensed under the BSD 3-Clause - see\nthe [LICENSE file](https://github.com/Tohrusky/Final2x-core/blob/main/LICENSE) for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftensoraws%2Ffinal2x-core","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftensoraws%2Ffinal2x-core","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftensoraws%2Ffinal2x-core/lists"}