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<div class="category closed"><a href="../index.html" title="The root of the site.">CUDA Toolkit
v6.5</a></div>
<div class="category"><a href="index.html" title="Video Decoder">Video Decoder</a></div>
<ul>
<li>
<div class="section-link"><a href="#overview">1. Overview</a></div>
</li>
<li>
<div class="section-link"><a href="#video-decode">2. Video Decode</a></div>
<ul>
<li>
<div class="section-link"><a href="#mpeg-2-vc-1-support">2.1. MPEG-2/VC-1 Support</a></div>
</li>
<li>
<div class="section-link"><a href="#h264-avchd-support">2.2. H.264/AVCHD Support</a></div>
</li>
</ul>
</li>
<li>
<div class="section-link"><a href="#introduction">3. Introduction</a></div>
</li>
<li>
<div class="section-link"><a href="#cuda-video-decoder">4. CUDA Video Decoder</a></div>
<ul>
<li>
<div class="section-link"><a href="#decoder-creation">4.1. Decoder Creation</a></div>
</li>
<li>
<div class="section-link"><a href="#decoding-surfaces">4.2. Decoding Surfaces</a></div>
</li>
<li>
<div class="section-link"><a href="#processing-and-displaying-frames">4.3. Processing and Displaying Frames</a></div>
</li>
<li>
<div class="section-link"><a href="#performance-optimizations-for-video-decoding">4.4. Performance Optimizations for Video Decoding</a></div>
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<div id="release-info">Video Decoder
(<a href="../../pdf/CUDA_Video_Decoder.pdf">PDF</a>)
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v6.5
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<article id="contents">
<div class="topic nested0" id="abstract"><a name="abstract" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#abstract" name="abstract" shape="rect">NVIDIA CUDA Video Decoder</a></h2>
<div class="body conbody"></div>
</div>
<div class="topic concept nested0" id="overview"><a name="overview" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#overview" name="overview" shape="rect">1. Overview</a></h2>
<div class="body conbody">
<p class="p">The CUDA Video Decoder API gives developers access to hardware video decoding
capabilities on NVIDIA GPU. The actual hardware decode can run on either Video Processor
(<dfn class="term">VP</dfn>) or CUDA hardware, depending on the hardware capabilities and the
codecs. This API supports the following video stream formats for Linux and Windows
platforms: MPEG-2, VC-1, and H.264 (<dfn class="term">AVCHD</dfn>).
</p>
<p class="p">Applications can decode video streams on the GPU into Video Memory, and also apply a post
processing stage on the uncompressed video surfaces with CUDA. CUDA supports I/O
transfers of video surfaces to system memory using CUDA’s fast asynchronous uploads and
read-backs. For display, CUDA supports native graphics interoperability, enabling the
application to render the video generated surfaces using a 3D API such as OpenGL
(Windows and Linux) or DirectX (Windows platforms).
</p>
</div>
</div>
<div class="topic concept nested0" id="video-decode"><a name="video-decode" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#video-decode" name="video-decode" shape="rect">2. Video Decode</a></h2>
<div class="body conbody">
<p class="p"></p>
</div>
<div class="topic concept nested1" id="mpeg-2-vc-1-support"><a name="mpeg-2-vc-1-support" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#mpeg-2-vc-1-support" name="mpeg-2-vc-1-support" shape="rect">2.1. MPEG-2/VC-1 Support</a></h3>
<div class="body conbody">
<ul class="ul">
<li class="li">Decode Acceleration for G8x, G9x (Requires Compute 1.1 or higher)</li>
<li class="li">Full Bitstream Decode for MCP79, MCP89, G98, GT2xx, GF1xx, GK1xx</li>
<li class="li">MPEG-2 CUDA accelerated decode with a GPU with 8+ SMs (64 CUDA
cores) (Windows)
</li>
<li class="li">Supports HD (1080i/p) playback including Blu-ray
Disc™ content
</li>
<li class="li"> R185+ (Windows), R260+ (Linux)</li>
</ul>
</div>
</div>
<div class="topic concept nested1" id="h264-avchd-support"><a name="h264-avchd-support" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#h264-avchd-support" name="h264-avchd-support" shape="rect">2.2. H.264/AVCHD Support</a></h3>
<div class="body conbody">
<ul class="ul">
<li class="li">Baseline, Main, and High Profile, up to Level 4.1</li>
<li class="li">Full Bitstream Decoding in hardware including HD (1080i/p) Bluray
content
</li>
<li class="li">Supports B-Frames, bitrates up to 45 mbps</li>
<li class="li">Available on NVIDIA GPUs: G8x, G9x, MCP79, MCP89, G98, GT2xx, GF1xx,
GK1xx
</li>
<li class="li">R185+ (Windows), R260+ (Linux)</li>
</ul>
</div>
</div>
</div>
<div class="topic concept nested0" id="introduction"><a name="introduction" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#introduction" name="introduction" shape="rect">3. Introduction</a></h2>
<div class="body conbody">
<p class="p">This CUDA Video Decoder API allows developers access the video decoding features of
NVIDIA graphics hardware. This OS platform independent API is an extension to NVIDIA’s
CUDA technology.
</p>
<p class="p">The CUDA Video Decoder API is based on CUDA, it inherits all of CUDA’s interoperability
capabilities with OpenGL, Direct3D, and the CUDA support for fast memory copies between
video memory and system memory. It is now possible to implement a video playback
pipeline from video decode to image post-processing with CUDA all running entirely on
the GPU. With transcode applications, this API allows the video bitstream decode to be
fully offloaded to the GPU’s video processor. The decoded frames can be passed to a CUDA
accelerated video encoding stage through your GPU accelerated encoder or the NVIDIA CUDA
encoder.
</p>
<div class="p">The NVIDIA CUDA Samples application (windows only) implements the following playback
pipeline:
<ol class="ol">
<li class="li">Parse the Video input Source (using CUDA Video Decoder API)</li>
<li class="li">Decode Video on GPU using <dfn class="term">NVCUVID</dfn> API.
</li>
<li class="li">Convert decoded surface (<dfn class="term">NV12</dfn> format or <dfn class="term">YUV 4:2:0</dfn>
format) to <dfn class="term">RGBA</dfn>.
</li>
<li class="li">Map RGBA surface to DirectX 9.0 or OpenGL surface.</li>
<li class="li">Draw texture to screen.</li>
</ol>
</div>
<p class="p">This document will focus on the use of the CUDA Video Decoder API and the stages
following decode, (i.e. format conversion and display using DirectX or OpenGL). Parsing
of the video source using the NVCUVID API is secondary to the sample, as we believe most
developers will already have code for parsing video streams down to the slice-level.
Note: The low level decode APIs are supported on both Linux and Windows platforms. The
NVCUVID APIs for <dfn class="term">Parsing</dfn> and <dfn class="term">Source Stream</dfn> input are available
only on Windows platforms.
</p>
</div>
</div>
<div class="topic concept nested0" id="cuda-video-decoder"><a name="cuda-video-decoder" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#cuda-video-decoder" name="cuda-video-decoder" shape="rect">4. CUDA Video Decoder</a></h2>
<div class="body conbody">
<p class="p">The CUDA Video Decode API consists of a header-file:
<samp class="ph codeph">cuviddec.h</samp> and <samp class="ph codeph">nvcuvid.h</samp> lib-file:
<samp class="ph codeph">nvcuvid.lib</samp> located in CUDA toolkit include files
location. The Windows DLLs <samp class="ph codeph">nvcuvid.dll</samp> ship with NVIDIA
display drivers. The Linux <samp class="ph codeph">libnvcuvid.so</samp> is included
with Linux drivers (R260+).
</p>
<p class="p">This API defines five function entry points for decoder creation and use:</p><pre xml:space="preserve"><span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Create/Destroy the decoder object</span>
CUresult cuvidCreateDecoder(CUvideodecoder *phDecoder,
CUVIDDECODECREATEINFO *pdci);
CUresult cuvidDestroyDecoder(CUvideodecoder hDecoder);
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Decode a single picture (field or frame)</span>
CUresult cuvidDecodePicture(CUvideodecoder hDecoder,
CUVIDPICPARAMS *pPicParams);
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Post-process and map a video frame for use in cuda</span>
CUresult cuvidMapVideoFrame(CUvideodecoder hDecoder, <span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">int</span> nPicIdx,
CUdeviceptr *pDevPtr, <span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">unsigned</span> <span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">int</span> *pPitch,
CUVIDPROCPARAMS *pVPP);
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Unmap a previously mapped video frame</span>
CUresult cuvidUnmapVideoFrame(CUvideodecoder hDecoder, CUdeviceptr DevPtr);</pre></div>
<div class="topic concept nested1" id="decoder-creation"><a name="decoder-creation" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#decoder-creation" name="decoder-creation" shape="rect">4.1. Decoder Creation</a></h3>
<div class="body conbody">
<div class="p">The sample application uses this API through a C++ Wrapper class
<samp class="ph codeph">VideoDecoder</samp> defined in <samp class="ph codeph">VideoDecoder.h</samp>. The
class’s constructor is a good starting point to see how to setup the
<samp class="ph codeph">CUVIDDECODECREATEINFO</samp> for the <samp class="ph codeph">cuvidCreateDecoder()</samp>
method. Most importantly, the create-info contains the following information about the
stream that’s going to be decoded: <a name="decoder-creation__ol_yhg_2r1_p3" shape="rect">
<!-- --></a><ol class="ol" id="decoder-creation__ol_yhg_2r1_p3">
<li class="li">codec-type</li>
<li class="li">the frame-size</li>
<li class="li">chroma format</li>
</ol>
The user also determines various properties of the output that the decoder is to
generate:
<ol class="ol">
<li class="li">Output surface format (currently only <dfn class="term">NV12</dfn> supported)
</li>
<li class="li">Output frame size</li>
<li class="li">Maximum number of output surfaces. This is the maximum number of surfaces that
the client code will simultaneously map for display.
</li>
</ol>
The user also needs to specify the maximum number of surfaces the decoder may
allocate for decoding.
</div>
</div>
</div>
<div class="topic concept nested1" id="decoding-surfaces"><a name="decoding-surfaces" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#decoding-surfaces" name="decoding-surfaces" shape="rect">4.2. Decoding Surfaces</a></h3>
<div class="body conbody">
<p class="p">The decode sample application is driven by the <dfn class="term">VideoSource</dfn>
class (Windows only), which spawns its own thread. The source calls a
callback on the <dfn class="term">VideoParser</dfn> class (Windows only) to parse
the stream, the VideoParser in turn calls back into two callbacks that
handle the decode and display of the frames. For Linux platforms, you
will need to write your own video source and parsing functions that
connect to the Video Decoding functions.
</p>
<p class="p">The parser thread calls two callbacks to decode and display frames:</p><pre xml:space="preserve"><span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Called by the video parser to decode a single picture. Since the parser will</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// deliver data as fast as it can, we need to make sure that the picture index</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// we're attempting to use for decode is no longer used for display.</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">static</span> <span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">int</span> CUDAAPI HandlePictureDecode(<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">void</span> *pUserData,
CUVIDPICPARAMS *pPicParams);
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// Called by the video parser to display a video frame (in the case of field</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// pictures, there may be two decode calls per one display call, since two</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-comment">// fields make up one frame).</span>
<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">static</span> <span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">int</span> CUDAAPI HandlePictureDisplay(<span xmlns:xslthl="http://xslthl.sf.net" class="xslthl-keyword">void</span> *pUserData,
CUVIDPARSERDISPINFO *pPicParams);</pre><p class="p">The CUDA VideoParser passes a <samp class="ph codeph">CUVIDPICPARAMS</samp> struct to
the callback which can be passed straight on to the
<samp class="ph codeph">cuvidDecodePicture()</samp> function. The
<samp class="ph codeph">CUVIDPICPARAMS</samp> struct contains all the information
necessary for the decoder to decode a frame or field; in particular
pointers to the video bitstream, information about frame size, flags if
field or frame, bottom or top field, etc.
</p>
<p class="p">The decoded result gets associated with a picture-index value in the
<samp class="ph codeph">CUVIDPICPARAMS</samp> struct, which is also provided by the
parser. This picture index is later used to map the decoded frames to
cuda memory.
</p>
<p class="p">The implementation of <samp class="ph codeph">HandlePictureDecode()</samp> in the
sample application waits if the output queue is full. When a slot in the
queue becomes available, it simply invokes the
<samp class="ph codeph">cuvidDecodePicture()</samp> function, passing the
<samp class="ph codeph">pPicParams</samp> as received from the parser.
</p>
<p class="p"><samp class="ph codeph">The HandlePictureDisplay()</samp> method is passed a
<samp class="ph codeph">CUVIDPARSERDISPINFO</samp> struct which contains the necessary
data for displaying a frame; i.e. the frame-index of the decoded frame
(as given to the decoder), and some information relevant for display like
frame-time, field, etc. The parser calls this method for frames in the
order as they should be displayed.
</p>
<p class="p">The implementation of <samp class="ph codeph">HandlePictureDisplay()</samp> method in
the sample application simply enqueues the <samp class="ph codeph">pPicParams</samp>
passed by the parser into the <dfn class="term">FrameQueue</dfn> object.
</p>
<p class="p">The FrameQueue is used to implement a producer-consumer pattern passing
frames (or better, references to decoded frames) between the
VideoSource’s decoding thread and the application’s main thread, which is
responsible for their screen display.
</p>
</div>
</div>
<div class="topic concept nested1" id="processing-and-displaying-frames"><a name="processing-and-displaying-frames" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#processing-and-displaying-frames" name="processing-and-displaying-frames" shape="rect">4.3. Processing and Displaying Frames</a></h3>
<div class="body conbody">
<p class="p">The application’s main loop retrieves images from the <dfn class="term">FrameQueue</dfn>
(<samp class="ph codeph">copyDecodedFrameToTexture()</samp> in <samp class="ph codeph">videoDecode.cpp</samp>)
and renders the texture to the screen. The <dfn class="term">DirectX</dfn> device is set up to
block on monitor <dfn class="term">vsync</dfn>, throttling rendering to 60Hz for the typical
flat-screen display. To handle frame rate conversion of 3:2 pulldown content, we also
render the frame multiple-times, according to the repeat information passed from the
parser.
</p>
<p class="p"><samp class="ph codeph">copyDecodedFrameToTexture()</samp> is the method where the CUDA decoder API is
used to map a decoded frame (based on its <dfn class="term">Picture-Index</dfn>) into CUDA device
memory.
</p>
<p class="p">Post processing on a frame is done by mapping the frame through
<samp class="ph codeph">cudaPostProcessFrame()</samp>. This returns a pointer to a
<dfn class="term">NV12</dfn> decoded frame. This then gets passed to a CUDA kernel to convert
NV12 surface to a <dfn class="term">RGBA</dfn> surface. The final RGBA surface is then copied
directly into a DirectX texture and then drawn to the screen.
</p>
</div>
</div>
<div class="topic concept nested1" id="performance-optimizations-for-video-decoding"><a name="performance-optimizations-for-video-decoding" shape="rect">
<!-- --></a><h3 class="title topictitle2"><a href="#performance-optimizations-for-video-decoding" name="performance-optimizations-for-video-decoding" shape="rect">4.4. Performance Optimizations for Video Decoding</a></h3>
<div class="body conbody">
<div class="p">The CUDA Samples (<samp class="ph codeph">cudaDecodeGL</samp> and <samp class="ph codeph">cudaDecodeD3D9</samp>) are
intended for simplicity and understanding of how to use this API case. It is by no means
a fully optimized application. This CUDA Video Decoder library makes use two different
engines on the GPU, the Video Processor and the Graphics hardware (CUDA and 3D). This
allows the Video Processor and the Graphics hardware to run asynchronously. The display
thread for this sample is this:
<ol class="ol">
<li class="li"><samp class="ph codeph">cuvidMapVideoFrame</samp> – gets a CUDA device pointer from decoded
frame of a Video Decoder (using map)
</li>
<li class="li"><samp class="ph codeph">cuD3D9ResourceGetMappedPointer</samp> – gets a CUDA device pointer
from a D3D texture
</li>
<li class="li"><samp class="ph codeph">cudaPostProcessFrame</samp> – calls all subsequent CUDA post-process
functions on that frame, and writes the result directly to the Mapped D3D
texture.
</li>
<li class="li"><samp class="ph codeph">cuD3D9UnmapResources</samp> – driver will release pointer back to
<dfn class="term">D3D9</dfn>. This tells the <dfn class="term">Direct3D</dfn> driver that CUDA is
done modifying it, and that it is safe to use for D3D9.
</li>
<li class="li"><samp class="ph codeph">cuvidUnmapVideoFrame</samp> (Decoded Frame)
</li>
</ol>
To improve performance, having 2 or more D3D9 or OpenGL surfaces to ping/pong can
improve performance. This enables the driver to schedule workload without blocking the
display thread.
</div>
</div>
</div>
</div>
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<h3 class="title sectiontitle">Copyright</h3>
<p class="p">© <span class="ph">2012</span>-<span class="ph">2014</span> NVIDIA
Corporation. All rights reserved.
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<p class="p">This product includes software developed by the Syncro Soft SRL (http://www.sync.ro/).</p>
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distrib
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Mageia
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5
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x86_64
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media
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nonfree-release
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by-pkgid
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d44b02ea46d82d6a48df31bbd1a088f3
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files
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1746
