Sample: cudaDecodeGL
Minimum spec: SM 3.0
This sample demonstrates how to efficiently use the CUDA Video Decoder API to decode video sources based on MPEG-2, VC-1, and H.264. YUV to RGB conversion of video is accomplished with CUDA kernel. The output result is rendered to a OpenGL surface. The decoded video is black, but can be enabled with -displayvideo added to the command line. Requires Compute Capability 2.0 or higher.
Key concepts:
Graphics Interop
Image Processing
Video Compression
NVIDIA解码器代码官方示例
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2018-12-11
17:27:44
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nv-decoder.zip （41个子文件） 
cudaDecodeGL 
videoDecodeGL.o 106KB cudaProcessFrame.h 2KB VideoParser.h 4KB cudaProcessFrame.cpp 6KB cudaDecodeGL 321KB findgllib.mk 6KB dynlink_builtin_types.h 27KB dynlink_cuda.o 56KB VideoDecoder.h 2KB VideoParser.cpp 4KB NsightEclipse.xml 5KB VideoDecoder.o 7KB VideoDecoder.cpp 7KB dynlink_nvcuvid.cpp 7KB dynlink_cudaGL.h 6KB VideoSource.o 12KB run.sh 25B dynlink_nvcuvid.o 9KB doc 
CUDA_Video_Decoder.pdf 1.45MB ImageGL.h 4KB FrameQueue.h 3KB ImageGL.cpp 7KB NV12ToARGB_drvapi64.ptx 8KB ImageGL.o 17KB cudaModuleMgr.h 4KB Makefile 15KB FrameQueue.o 6KB VideoParser.o 7KB data plush1_720p_10s.m2v 13.62MB NV12ToARGB_drvapi64.ptx 8KB cudaModuleMgr.o 34KB helper_cuda_drvapi.h 11KB VideoSource.h 5KB
readme.txt 499B FrameQueue.cpp 4KB videoDecodeGL.cpp 47KB dynlink_cuda.cpp 24KB cudaModuleMgr.cpp 11KB VideoSource.cpp 7KB NV12ToARGB_drvapi.cu 8KB cudaProcessFrame.o 11KB资源评论
