Video_Codec
所属分类:其他
开发工具:Visual C++
文件大小:24063KB
下载次数:18
上传日期:2017-11-20 09:22:40
上 传 者:
zgxiaocj
说明: 基于CUDA的视频编解码库,支持H264、MJPEG、H265等
(cuda decode/encode sdk)
文件列表:
Video_Codec_SDK_8.0.14 (0, 2017-08-05)
Video_Codec_SDK_8.0.14\doc (0, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NVDEC_Application_Note.pdf (708744, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NVDEC_VideoDecoder_API_ProgGuide.pdf (917952, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NvEncodeAPI_v.8.0.chm (794139, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NvEncodeAPI_v.8.0.pdf (1203622, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NVENC_Application_Note.pdf (800609, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\NVENC_VideoEncoder_API_ProgGuide.pdf (1119155, 2017-05-02)
Video_Codec_SDK_8.0.14\doc\Using_FFmpeg_with_NVIDIA_GPU_Hardware_Acceleration.pdf (869707, 2017-05-02)
Video_Codec_SDK_8.0.14\LicenseAgreement.pdf (404729, 2017-07-28)
Video_Codec_SDK_8.0.14\Release_notes.txt (2532, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples (0, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common (0, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc (0, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\cudaModuleMgr.h (4132, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\drvapi_error_string.h (11356, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_builtin_types.h (28370, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cuda.h (548, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cudaD3D10.h (8573, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cudaD3D11.h (13172, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cudaD3D9.h (9100, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cudaGL.h (5897, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cuda_cuda.h (73065, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cuda_d3d.h (5236, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cuda_gl.h (1643, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_cuviddec.h (46808, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\dynlink_nvcuvid.h (21912, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\exception.h (5262, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL (0, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\freeglut.h (703, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\freeglut_ext.h (10682, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\freeglut_std.h (27750, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\gl.h (70198, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glew.h (943450, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glext.h (691298, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glu.h (19252, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glut.h (660, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glx.h (14378, 2017-05-02)
Video_Codec_SDK_8.0.14\Samples\common\inc\GL\glxew.h (70092, 2017-05-02)
... ...
NVIDIA Video Codec SDK 8.0
System Requirements
* NVIDIA Kepler/Maxwell/Pascal GPU with hardware video accelerators - Refer to the NVIDIA Video SDK developer zone web page (https://developer.nvidia.com/nvidia-video-codec-sdk) for GPUs which
support encoding and decoding acceleration.
* Windows: Driver version 378.66 or higher
* Linux: Driver version 378.13 or higher
* CUDA 7.5 Toolkit (optional)
[Windows Configuration Requirements]
- DirectX SDK is needed. You can download the latest SDK from Microsoft's DirectX website
- The CUDA 7.5 Toolkit is optional to install (see below on how to get it)
- CUDA toolkit is used for building CUDA kernels that can interop with NVENC.
The following environment variables need to be set to build the sample applications included with the SDK
* For Windows
- DXSDK_DIR: pointing to the DirectX SDK root directory
[Linux Configuration Requirements]
* For Linux
- X11 and OpenGL, GLUT, GLEW libraries for video playback and display
- The CUDA 7.5 Toolkit is optional to install (see below on how to get it)
- CUDA toolkit is used for building CUDA kernels that can interop with NVENC.
[Common to all OS platforms]
* NVIDIA Video Codec samples have pre-built CUDA PTX kernels. To build the Video Codec SDK samples, it is not
necessary to download the CUDA toolkit.
* To download the CUDA 7.5 toolkit, please go to the following web site:
http://developer.nvidia.com/cuda/cuda-toolkit
Please refer to the samples guide [\Samples\NVIDIA_Video_Codec_Samples_Guide.pdf] for details regarding the building and running of the sample applications
included with the SDK.
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