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Merge pull request #180 from fawdlstty/master
add simple chinese version
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‎Build.cn.md‎

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# 如何建立NVEnc
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by rigaya
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## 0. 环境需求
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要构建NVEnc，需要以下组件。
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- Visual Studio 2015 + CUDA 8.0 (x86)
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- Visual Studio 2015/2017/2019 + CUDA 10.2 (x64)
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- yasm
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- Avisynth SDK
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- VapourSynth SDK
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请将yasm设置为您的环境路径。
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使用sdk安装Avisynth+和VapourSynth。
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然后，Avisynth+ SDK 的 "avisynth_c.h" 和VapourSynth SDK 的 "VapourSynth.h" 应被添加到 Visual Studio 的包含路径中。
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这些包括路径可以通过环境变量“AVISYNTH_SDK”和“VAPOURSYNTH_SDK”来传递。
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使用默认安装，环境变量可以设置如下。
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```Batchfile
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setx AVISYNTH_SDK "C:\Program Files (x86)\AviSynth+\FilterSDK"
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setx VAPOURSYNTH_SDK "C:\Program Files (x86)\VapourSynth\sdk"
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```
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您还需要Caption2Ass_PCR的源代码。
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```Batchfile
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git clone https://github.com/maki-rxrz/Caption2Ass_PCR <path-to-clone>
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setx CAPTION2ASS_SRC Caption2Ass_PCR <path-to-clone>/src
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```
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## 1. 下载源代码
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```Batchfile
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git clone https://github.com/rigaya/NVEnc --recursive
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```
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## 2. 构建 NVEncC.exe / NVEnc.auo
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最后，打开 NVEnc.sln，然后开始使用 Visual Studio 构建 NVEnc。
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| | For Debug build | For Release build |
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|:---------------------|:------|:--------|
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|NVEncC(64).exe | DebugStatic | RelStatic |
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|NVEnc.auo (win32 only) | Debug | Release |
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|cufilters.auf (win32 only) | DebugFilters | RelFilters |

‎Build.en.md‎

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To build NVEnc, components below are required.
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- Visual Studio 2015 + CUDA 8.0 (x86)
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- Visual Studio 2015/2017/2019 + CUDA 10.1 (x64)
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- Visual Studio 2015/2017/2019 + CUDA 10.2 (x64)
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- yasm
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- Avisynth SDK
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- VapourSynth SDK

‎Build.ja.md‎

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ビルドには、下記のものが必要です。
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- Visual Studio 2015 + CUDA 8.0 (x86)
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- Visual Studio 2015/2017/2019 + CUDA 10.1 (x64)
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- Visual Studio 2015/2017/2019 + CUDA 10.2 (x64)
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- yasm
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- Avisynth+ SDK
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- VapourSynth SDK

‎Readme.cn.md‎

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# NVEnc
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by rigaya
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**[日本語版はこちら＞＞](./Readme.ja.md)**
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[![Build status](https://ci.appveyor.com/api/projects/status/dmlkxw4rbrby0oi9/branch/master?svg=true)](https://ci.appveyor.com/project/rigaya/nvenc/branch/master)
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本软件旨在研究NVIDIA的HW编码器(NVENC)的性能和图像质量。
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所开发的软件有两种类型，一种是独立运行的命令行版本，另一种是输出插件 [Aviutl](http://spring-fragrance.mints.ne.jp/aviutl/).
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- NVEncC.exe ... 支持代码转换的命令行版本。
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- NVEnc.auo ... [Aviutl](http://spring-fragrance.mints.ne.jp/aviutl/) 的输出插件。
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## 下载 & update history
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[rigayaの日記兼メモ帳＞＞](http://rigaya34589.blog135.fc2.com/blog-category-17.html)
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## 系统需求
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Windows 7, 8, 8.1, 10 (x86 / x64)
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Aviutl 0.99g4 or later (NVEnc.auo)
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支持NVENC的硬件
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NVIDIA GPU GeForce Kepler gen或更新(GT / GTX 6xx或更新)
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※ 由于GT 63x, 62x等是费米代的重命名，他们不能运行NVEnc。
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| NVEnc | 所需图形驱动程序版本 |
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|:-------------- |:--------------------------------- |
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| NVEnc 0.00 or later | NVIDIA graphics driver 334.89 or later |
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| NVEnc 1.00 or later | NVIDIA graphics driver 347.09 or later |
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| NVEnc 2.00 or later | NVIDIA graphics driver 358 or later |
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| NVEnc 2.08 or later | NVIDIA graphics driver 368.69 or later |
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| NVEnc 3.02 or later | NVIDIA graphics driver 369.30 or later |
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| NVEnc 3.08 or later | NVIDIA graphics driver 378.66 or later |
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| NVEnc 4.00 or later | NVIDIA graphics driver 390.77 or later |
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| NVEnc 4.31 or later | NVIDIA graphics driver 418.81 or later |
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| NVEnc 4.51 or later | NVIDIA graphics driver 436.15 or later |
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## NVEncC的使用和选项
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[选项列表和详细的NVEncC](./NVEncC_Options.en.md)
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## 支持的编码特性的示例
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check-features的结果，驱动程序返回的功能列表。可能取决于驱动程序版本。
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| GPU Gen | GPU Name |
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|:---|:---|
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| Kepler | [GTX660Ti](./GPUFeatures/gtx660ti.txt) |
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| Maxwell | [GTX970](./GPUFeatures/gtx970.txt) |
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| Pascal | [GTX1080](./GPUFeatures/gtx1080.txt), [GTX1070](./GPUFeatures/gtx1070.txt), [GTX1060](./GPUFeatures/gtx1060.txt) |
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| Volta | [GTX1650](./GPUFeatures/gtx1650.txt) |
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| Turing | [RTX2070](./GPUFeatures/rtx2070.txt), [RTX2060](./GPUFeatures/rtx2060.txt), [GTX1660Ti](./GPUFeatures/gtx1660ti.txt) |
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## 使用NVEnc的注意事项
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本软件是“按原样”提供的，没有任何形式的保证。
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NVEnc的输出可能不包括max_dec_frame_buffering字段，
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这可能会在某些回放环境中引起问题。
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## Main usable functions
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### Common to NVEnc / NVEncC
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- Encoding using NVENC
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- H.264 / AVC
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- YUV420 / YUV444
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- H.265 / HEVC (2nd Gen Maxwell or later)
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- YUV420 / YUV444
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- 10 bits
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- Each encode mode of NVENC
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- CQP (fixed quantization)
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- CBR (Constant bitrate)
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- CBRHQ (Constant bitrate, high quality)
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- VBR (Variable bitrate)
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- VBRHQ (Variable bitrate, high quality)
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- Interlaced encoding (by PAFF)
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- Lossless output (YUV 420 / YUV 444)
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- supports setting of codec profile & level, SAR, colormatrix, maxbitrate, GOP len, etc...
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### NVEncC
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- Supports cuvid decoding
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- MPEG1
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- MPEG2
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- H.264 / AVC
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- HEVC (10 bit / 12bitdepth with YUV444 support)
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- VP9
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- Supports various formats such as avs, vpy, y4m, and raw
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- Supports demux/muxing using libavformat
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- Supports decode using libavcodec
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- High performance filtering (VPP, Video Pre-Processing)
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- cuvid built-in hw processing
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- resize
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- deinterlace (normal / bob)
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- GPU filtering by CUDA
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- rff (apply rff flag)
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- deinterlacer
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- afs (Automatic field shift)
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- nnedi
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- yadif
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- colorspace conversion (x64 version only)
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- hdr2sdr
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- delogo
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- subburn
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- resize
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- bilinear
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- spline16, spline36, spline64
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- lanczos2, lanczos3, lanczos4
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- various algorithms by npp library are available (x64 version only)
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- padding
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- select-every
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- deband
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- noise reduction
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- knn (K-nearest neighbor)
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- pmd (modified pmd method)
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- gauss (npp library, x64 version only)
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- edge / detail enhancement
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- unsharp
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- edgelevel (edge ​​level adjustment)
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### NVEnc.auo (Aviutl plugin)
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- Audio encoding
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- Mux audio and chapter
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- afs (Automatic field shift) support
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### cufilters.auf (Aviutl plugin)
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- supported filters
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- nnedi
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- resize
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- noise reduction
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- knn (K-nearest neighbor)
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- pmd (modified pmd method)
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- edge / detail enhancement
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- unsharp
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- edgelevel (edge ​​level adjustment)
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- deband
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### NVEnc 源码
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- MIT license.
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- 这个程序是基于NVIDA CUDA样本，包括样本代码。
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本软件包含NVIDIA公司提供的源代码。
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- 这个软件依赖于
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[jitify](https://github.com/NVIDIA/jitify),
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[ffmpeg](https://ffmpeg.org/),
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[tinyxml2](http://www.grinninglizard.com/tinyxml2/),
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[dtl](https://github.com/cubicdaiya/dtl),
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[libass](https://github.com/libass/libass),
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[ttmath](http://www.ttmath.org/) &
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[Caption2Ass](https://github.com/maki-rxrz/Caption2Ass_PCR).
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对于这些许可证，请参阅相应源代码的标题部分和NVEnc_license.txt。
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- [如何构建](./Build.cn.md)
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### 关于源代码
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Windows ... VC build
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Character code: UTF-8-BOM
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Line feed: CRLF
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Indent: blank x4

‎Readme.md‎

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by rigaya
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**[日本語版はこちら＞＞](./Readme.ja.md)**
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**[简体中文版本＞＞](./Readme.cn.md)**
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[![Build status](https://ci.appveyor.com/api/projects/status/dmlkxw4rbrby0oi9/branch/master?svg=true)](https://ci.appveyor.com/project/rigaya/nvenc/branch/master)
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‎cudaver.props‎

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<CUDA_CODE_GEN>compute_30,compute_30;compute_50,compute_50;compute_75,compute_75</CUDA_CODE_GEN>
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<NVRTC_DLL_NAME>nvrtc64_101_0.dll</NVRTC_DLL_NAME>
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</PropertyGroup>
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<PropertyGroup Label="UserMacros" Condition="'$(CUDA_PATH)' == '$(CUDA_PATH_V10_2)'" >
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<CUDA_MAJOR_VER>10</CUDA_MAJOR_VER>
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<CUDA_MINOR_VER>2</CUDA_MINOR_VER>
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<CUDA_VER>$(CUDA_MAJOR_VER).$(CUDA_MINOR_VER)</CUDA_VER>
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<CUDA_CODE_GEN>compute_30,compute_30;compute_50,compute_50;compute_75,compute_75</CUDA_CODE_GEN>
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<NVRTC_DLL_NAME>nvrtc64_102_0.dll</NVRTC_DLL_NAME>
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</PropertyGroup>
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<ImportGroup Label="ExtensionSettings">
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<Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA $(CUDA_VER).props" />
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</ImportGroup>

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