Linux嵌入式视频流高速接入V4L2技术，实现多路摄像头的高效同步接入与解码处理，MJPEG解码速度单帧达30微秒，多线程优化代码即将为您呈现 ,Linux嵌入式视频流高速接入V4L2技术：多线程处
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Linux嵌入式视频流高速接入V4L2技术，实现多路摄像头的高效同步接入与解码处理，MJPEG解码速度单帧达30微秒，多线程优化代码即将为您呈现。,Linux嵌入式视频流高速接入V4L2技术：多线程处理多路摄像头视频流技术，MJPEG解码实现低延迟高帧率体验,linux嵌入式视频流加速接入V4L2 ， 自动驾驶边缘端设备或者服务器往往需要同步接入至少4路环视摄像头，更甚者需要接入12路摄像头，倘若单纯调用opencv集成的视频流读入代码，面对多路的摄像头的庞大视频流数据是无法满足高帧率的视频接入的，因此，需要专门的不依赖第三方库的视频流接入代码提供高速的视频流接入服务。提供工程级MJPEG及YUYV视频流读入编解码代码，其中MJPEG的表现更是达到单帧30微秒左右。需要的朋友可以直接将代码改写成多线程调用多路摄像头绝对会给您带来惊喜。,Linux嵌入式; 视频流加速接入; V4L2; 多路环视摄像头同步接入; 高帧率视频流接入服务; 不依赖第三方库的视频流接入代码; MJPEG编解码; YUYV视频流读入编解码; 多线程调用多路摄像头。,Linux嵌入式视频流高速接入：V4L2 <link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90431611/2/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90431611/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">**Linux<span class="_"> </span><span class="ff2">嵌入式视频流加速接入：多路摄像头的高效处理</span>**</div><div class="t m0 x1 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">摘要：</div><div class="t m0 x1 h2 y3 ff2 fs0 fc0 sc0 ls0 ws0">在嵌入式系统或自动驾驶边缘端设备中，<span class="_ _0"></span>视频流的接入与处理是一项关键技术。<span class="_ _0"></span>面对多路环</div><div class="t m0 x1 h2 y4 ff2 fs0 fc0 sc0 ls0 ws0">视摄像头甚至高达<span class="_ _1"> </span><span class="ff1">12<span class="_ _1"> </span></span>路摄像头的接入需求，<span class="_ _2"></span>传统的<span class="_ _1"> </span><span class="ff1">OpenCV<span class="_ _1"> </span></span>视频流读入方式难以满足高帧</div><div class="t m0 x1 h2 y5 ff2 fs0 fc0 sc0 ls0 ws0">率视频接入<span class="_ _3"></span>的要求。本<span class="_ _3"></span>文将探讨<span class="_ _1"> </span><span class="ff1">Linux<span class="_"> </span></span>下的<span class="_ _1"> </span><span class="ff1">V4L2</span>（<span class="ff1">Video <span class="_ _3"></span>for Linux 2</span>）框<span class="_ _3"></span>架，并介绍<span class="_ _3"></span>一种工</div><div class="t m0 x1 h2 y6 ff2 fs0 fc0 sc0 ls0 ws0">程级<span class="_ _1"> </span><span class="ff1">MJPEG<span class="_"> </span></span>及<span class="_ _1"> </span><span class="ff1">YUYV<span class="_"> </span></span>视频流读入编<span class="_ _3"></span>解码代<span class="_ _3"></span>码，以实<span class="_ _3"></span>现高速、<span class="_ _3"></span>高效的<span class="_ _3"></span>多路摄像<span class="_ _3"></span>头视频流<span class="_ _3"></span>接入。</div><div class="t m0 x1 h2 y7 ff2 fs0 fc0 sc0 ls0 ws0">一、引言</div><div class="t m0 x1 h2 y8 ff2 fs0 fc0 sc0 ls0 ws0">在自<span class="_ _3"></span>动驾<span class="_ _3"></span>驶领<span class="_ _3"></span>域，<span class="_ _3"></span>多路<span class="_ _3"></span>摄像<span class="_ _3"></span>头的<span class="_ _3"></span>同步<span class="_ _3"></span>接入<span class="_ _3"></span>对于<span class="_ _3"></span>实现<span class="_ _4"> </span><span class="ff1">360<span class="_"> </span></span>度环视<span class="_ _3"></span>、障<span class="_ _3"></span>碍物<span class="_ _3"></span>检测<span class="_ _3"></span>等至<span class="_ _3"></span>关重<span class="_ _3"></span>要。</div><div class="t m0 x1 h2 y9 ff2 fs0 fc0 sc0 ls0 ws0">然而，<span class="_ _3"></span>单纯<span class="_ _3"></span>的<span class="_ _1"> </span><span class="ff1">OpenCV<span class="_"> </span></span>视频<span class="_ _3"></span>流读<span class="_ _3"></span>入方<span class="_ _3"></span>式在<span class="_ _3"></span>面对<span class="_ _3"></span>庞大<span class="_ _3"></span>视频流<span class="_ _3"></span>数据<span class="_ _3"></span>时，<span class="_ _3"></span>难以<span class="_ _3"></span>达到<span class="_ _3"></span>高帧<span class="_ _3"></span>率的<span class="_ _3"></span>要求。</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">为此，<span class="_ _2"></span>我们需要一种专门的不依赖第三方库的视频流接入方案，<span class="_ _5"></span>以实现高效、<span class="_ _5"></span>稳定的多路摄</div><div class="t m0 x1 h2 yb ff2 fs0 fc0 sc0 ls0 ws0">像头视频流接入。</div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">二、<span class="ff1">Linux<span class="_"> </span></span>下的<span class="_ _1"> </span><span class="ff1">V4L2<span class="_ _1"> </span></span>框架</div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls0 ws0">Linux<span class="_"> </span><span class="ff2">下的<span class="_ _1"> </span></span>V4L2<span class="ff2">（</span>Video <span class="_ _6"></span>for <span class="_ _7"></span>Linux <span class="_ _7"></span>2<span class="ff2">）<span class="_ _5"></span>框架为视频设备提供了统一的接口，<span class="_ _0"></span>是嵌入式系统中常</span></div><div class="t m0 x1 h2 ye ff2 fs0 fc0 sc0 ls0 ws0">用的视频处理框架。<span class="_ _8"></span>通过<span class="_ _1"> </span><span class="ff1">V4L2<span class="_ _1"> </span></span>框架，<span class="_ _8"></span>我们可以实现对摄像头的控制、<span class="_ _8"></span>视频流的读取以及视</div><div class="t m0 x1 h2 yf ff2 fs0 fc0 sc0 ls0 ws0">频流的编码和解码等操作。</div><div class="t m0 x1 h2 y10 ff2 fs0 fc0 sc0 ls0 ws0">三、工程级<span class="_ _1"> </span><span class="ff1">MJPEG<span class="_ _1"> </span></span>及<span class="_ _1"> </span><span class="ff1">YUYV<span class="_"> </span></span>视频流读入编解码代码</div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">为了实现<span class="_ _3"></span>高效的<span class="_ _3"></span>多路摄像<span class="_ _3"></span>头视频<span class="_ _3"></span>流接入，<span class="_ _3"></span>我们采用<span class="_ _3"></span>了一种<span class="_ _3"></span>工程级的<span class="_ _4"> </span><span class="ff1">MJPEG<span class="_"> </span></span>及<span class="_ _1"> </span><span class="ff1">YUYV<span class="_ _1"> </span></span>视频流</div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">读入编解码代码。<span class="_ _7"></span>其中，<span class="_ _7"></span><span class="ff1">MJPEG<span class="_"> </span><span class="ff2">技术以其单帧<span class="_ _1"> </span></span>30<span class="_ _1"> </span><span class="ff2">微秒左右的出色表现，<span class="_ _6"></span>为高帧率视频接入</span></span></div><div class="t m0 x1 h2 y13 ff2 fs0 fc0 sc0 ls0 ws0">提供了有力支持。此外，<span class="ff1">YUYV<span class="_"> </span></span>格式的采用也进一步降低了视频处理的计算压力。</div><div class="t m0 x1 h2 y14 ff2 fs0 fc0 sc0 ls0 ws0">四、多线程调用实现多路摄像头接入</div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">为了充分利用系统资源，<span class="_ _0"></span>提高多路摄像头视频流接入的效率，<span class="_ _0"></span>我们可以将代码改写为多线程</div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls0 ws0">调用方式。<span class="_ _2"></span>通过创建多个线程，<span class="_ _6"></span>分别处理不同摄像头的视频流，<span class="_ _2"></span>实现并行处理，<span class="_ _6"></span>从而提高整</div><div class="t m0 x1 h2 y17 ff2 fs0 fc0 sc0 ls0 ws0">体的处理速度。</div><div class="t m0 x1 h2 y18 ff2 fs0 fc0 sc0 ls0 ws0">五、实践应用</div><div class="t m0 x1 h2 y19 ff2 fs0 fc0 sc0 ls0 ws0">在实际应用中，<span class="_ _5"></span>我们可以根据具体需求，<span class="_ _2"></span>将上述代码进行适当的修改和优化，<span class="_ _5"></span>以适应不同的</div><div class="t m0 x1 h2 y1a ff2 fs0 fc0 sc0 ls0 ws0">硬件环境和软件需求。同时，通过调试和测试，确保代码的稳定性和可靠性。</div><div class="t m0 x1 h2 y1b ff2 fs0 fc0 sc0 ls0 ws0">六、总结</div><div class="t m0 x1 h2 y1c ff2 fs0 fc0 sc0 ls0 ws0">本文介绍了<span class="_ _3"></span>一种基于<span class="_ _4"> </span><span class="ff1">Linux<span class="_"> </span></span>下的<span class="_ _1"> </span><span class="ff1">V4L2<span class="_ _1"> </span></span>框架的高效多<span class="_ _3"></span>路摄像头视<span class="_ _3"></span>频流接入<span class="_ _3"></span>方案。通过<span class="_ _3"></span>采用工</div><div class="t m0 x1 h2 y1d ff2 fs0 fc0 sc0 ls0 ws0">程级的<span class="_ _1"> </span><span class="ff1">MJPEG<span class="_"> </span></span>及<span class="_ _1"> </span><span class="ff1">YUYV<span class="_"> </span></span>视频流读<span class="_ _3"></span>入编解码<span class="_ _3"></span>代码，实<span class="_ _3"></span>现了高<span class="_ _3"></span>速、稳定<span class="_ _3"></span>的多路<span class="_ _3"></span>摄像头视<span class="_ _3"></span>频流接</div><div class="t m0 x1 h2 y1e ff2 fs0 fc0 sc0 ls0 ws0">入。<span class="_ _2"></span>同时，<span class="_ _6"></span>通过多线程调用方式，<span class="_ _2"></span>进一步提高了整体的处理速度。<span class="_ _6"></span>该方案在嵌入式系统和自</div><div class="t m0 x1 h2 y1f ff2 fs0 fc0 sc0 ls0 ws0">动驾驶边缘端设备中具有广泛的应用前景。</div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div>