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content="最近我们的软件在硬解播放4K分辨率高清视频时遇到了效率不够的问题,为了搞清楚原因,我们需要使用其他音视频软件做个比对测试,测试一下当前PC的CPU和GPU能力。我们选择了视频播放器软件PotPlayer,看看该播放器分别软解和硬解4K高清视频时的资源占用情况,下面就概说一下测试过程,以供参考。 1、问题说明在测试过程中发现,我们的软件在硬解播放远端传过来的4K高清视频时会发生错误,然后自动切换到软"/> <script data-react-helmet="true" type="application/ld+json">{"@context":"https://schema.org","@type":"Article","headline":"使用PotPlayer播放器查看软解和硬解4K高清视频时的CPU及GPU占用情况 | 主赛道","image":[],"datePublished":"2023-12-29T07:35:34.000Z","dateModified":"2023-12-29T08:22:41.000Z","author":[{"@type":"Person","name":"努力的打工人","url":"https://developer.volcengine.com/user/2949339244927264"}]}</script> </head><body><noscript>We're sorry but react app doesn't work properly without JavaScript enabled. 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href="/articles?category=6">音视频</a></div></div><div class="PN9l6"><span>技术</span><span>视频服务</span></div><div class="uKIrB"><img src="//portal.volccdn.com/obj/volcfe-scm/deploy/volc_developer_/42325/static/image/rec-product.424eb1f0.png"/></div><article><div class="markdown-body"><p>最近我们的软件在硬解播放4K分辨率高清视频时遇到了效率不够的问题,为了搞清楚原因,我们需要使用其他音视频软件做个比对测试,测试一下当前PC的CPU和GPU能力。我们选择了视频播放器软件PotPlayer,看看该播放器分别软解和硬解4K高清视频时的资源占用情况,下面就概说一下测试过程,以供参考。</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/1d890bc809c2438bb870e0a920f9753a~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=8lF82PU5GusIKUlw6ToPX5UMKMo%3D" alt="picture.image"></p> <p> </p> <p><strong>1、问题说明</strong></p> <p>在测试过程中发现,我们的软件在硬解播放远端传过来的4K高清视频时会发生错误,然后自动切换到软解,切换到软解之后效率明显跟不上,视频出现了明显的卡顿(解码的速度很慢,导致视频播放有明显的延时)。</p> <p>为了大概摸排这个解码的问题,我们需要找一个音视频软件去对比测试一下在解码播放4K分辨率的视频时对CPU及GPU的占用情况,看看当前的CPU及GPU的性能能否满足当前的解码需求。当前我们的软件只涉及到视频的解码播放,不涉及视频编码,所以我们找一个视频播放器就可以了。</p> <p>我们之前使用过PotPlayer视频播放器,功能很强大,支持软解和硬解的切换,可以查看到详细的解码统计信息,对音视频开发人员非常有用。于是到网上下载一段4K分辨率的测试视频,使用PotPlayer播放器播放这个视频,看看对CPU和GPU占用情况。</p> <p><strong>2、PotPlayer播放器介绍</strong></p> <p>很多做音视频开发的朋友,应该都听说过或使用过PotPlayer播放器。</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/a600fd2a579f4d5c835ca6de5c287875~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=6JqKNts23InoCgi9nLLzs9VXnrg%3D" alt="picture.image"> </p> <p>PotPlayer播放器是一款来自韩国的全能视频播放器,是 KMPlayer 的原制作者姜龙喜先生(韩国)进入 Daum 公司后的新一代作品。它不仅继承了KMPlayer的滤镜以及管理系统,而且Daum公司实现了KMPlayer没有实现的DXVA硬件解码(DXVA的全称为DirectX Video Acceleration,视频硬件加速)和多线程解码功能,使PotPlayer可以更加流畅地播放高清电影。</p> <p>其中,DXVA的全称是DirectX Video Acceleration,视频硬件加速。DXVA是微软公司专门定制的视频加速规范,它共有两个版本,分别是DXVA 1.0和DXVA 2.0。DXVA规范不仅仅是在视频播放过程中的解码计算规范,其还有与视频后期处理息息相关,例如反交错、色彩空间转换或图像缩放等等。对于视频播放时CPU利用率影响最大的,通常也是我们最关心的,非视频解码莫属,尤其是HD视频的解码(硬件解码),对于CPU较弱的系统来说,让显卡来完成解码是不二之选。</p> <p>Potplayer在相对小巧的体积下,实现了支持绝大多数视频格式的功能。普通用户无需安装第三方解码器即可播放主流格式的视频文件,支持BD和MKV大视频文件的播放。Potplayer程序中调用了修改过的 FFmpeg、MP3Lame 开源编解码器,并遵循其 LGPL 开源许可协议。</p> <p><strong>3、视频的软解与硬解</strong></p> <p>视频解码播放主要涉及到两个操作,先解码视频(视频数据是经过压缩的),然后再去播放视频,其中视频解码是比较消耗CPU或GPU资源的。</p> <p>视频解码是对经过编码算法压缩的视频进行解码,分软解和硬解,软解则是使用CPU进行解码(使用CPU的计算能力),硬解则是使用GPU进行硬件解码,其中硬件解码的效率要更高一些。</p> <p>软件终端如果需要将本端摄像头采集到的图像发送到服务端,则需要对摄像头采集机出来的图像进行编码,编码相对于解码,要消耗更多的CPU(软解使用CPU)或GPU(硬解使用GPU)资源。</p> <p>对于4K这个高分辨率视频,要保证解码的效率以及较少延时,我们优先使用硬解,在硬解失败时再切换到软解,但软解4K高清视频,会占用很多的CPU资源,CPU的压力会大很多。</p> <p>除了解码,CPU作为机器的主控芯片,还要运行其他软件和处理其他事务,如果系统CPU占用过高,则会导致系统出现明显的卡顿。</p> <p>使用硬解时,主要占用GPU资源,可以有效地分担CPU处理数据的压力,有效地降低CPU的占用,从而不会影响当前系统中其他软件的运行。</p> <p><strong>4、使用PotPlayer查看4K高清视频软解和硬解时的CPU占用情况</strong></p> <p>PotPlayer打开视频后,在主窗口下方的工具条中可以点击软解(SW-Software)/硬解(HW-Hardware)的按钮实现软件与硬解之间的切换,如下所示:</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/ce74ed08c03a443f8e925c6421f9fb29~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=Qdyvj2wvJOzawkadXF5v3JtNsyA%3D" alt="picture.image"> </p> <p>然后可以右键点击视频区域,在弹出的右键菜单中点击属性菜单项,在打开的属性窗口中查看当前解码使用的解码器类型。</p> <p><strong>4.1、使用软解时CPU和GPU占用情况</strong></p> <p>用PotPlayer打开视频时,默认使用的是软解,右键点击视频区域,在弹出的右键菜单中点击属性,查看到使用的解码器类型为AVC1- 内置FFmpeg 解码器(h264, Thread Frame),如下所示:</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/f196c494b5c54bcdb6d141e824892767~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=n1uK4YRhJnP6kp3uQRzWFTkMzns%3D" alt="picture.image"> </p> <p>上图中还可以看到当前解码的帧率, 当加速视频播放(以几倍速播放)时播放器会自动提升解码的帧率,可以自行测试一下。</p> <p>打开Windows任务管理器,查看到此时的CPU和GPU占用情况,如下所示:</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/7e061f80d1764515b8d2b65d86d6ef15~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=y53CeYyLENoryEQy4yFyze1POR4%3D" alt="picture.image"></p> <p> </p> <p>从图中可以看出,当前CPU占用大概在36%左右,GPU 3D占用大概48%, Video Decode和 Video Processing占用都是0。这三部分占用解释如下:(注意,此处的视频播放其实包含两部分,视频解码和视频播放,要区分开来)</p> <p><strong>1)3D(视频播放)</strong> :绘制视频时应该使用到了硬件加速,比如使用D3D绘图。<strong>2)Video Decode(视频硬解)</strong> :对编码压缩的视频数据进行硬解。<strong>3)Video Processing(视频硬解)</strong> :对硬解出来的视频进行缩放等操作。</p> <p>因为当前使用的软解,没用到硬解,所以Video Decode和Video Processing两项的占比都为0。</p> <p><strong>4.2、使用硬解时CPU和GPU占用情况</strong></p> <p>点击视频窗口下方的工具条中软解(SW-Software)/硬解(HW-Hardware)按钮,将当前的解码模式由软解切换到硬解,查看到使用的解码器类型为:AVC1 –Native D3D9 DXVA Decoder(VLD) - Intel(R) UHD Graphics 630,如下所示:</p> <p> <img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/e835ea21b4dd49639cd36759478a9b3c~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=LpqS5n4fiDzxhqMMoelcVkG0CyE%3D" alt="picture.image"></p> <p>然后我们到任务管理中看一下CPU和GPU占用变化趋势,如下所示:</p> <p><img src="https://p3-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/787d3f7116944cf399d67fcefec84848~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=isvRkJf3q%2FGLMOWZM%2FvLzIcAPU4%3D" alt="picture.image"> </p> <p>首先CPU占用比例降到16%,因为硬解主要使用GPU硬解,所以CPU占用降低了。然后我们看到Video Decode和Video Processing两部分立马有了占用,其中Video Decode主要用于硬解视频数据,Video Processing主要用于硬解后的缩放处理。</p> <p>然后还看到两个明显的变化,一个是3D占用比例降低了,另一个是共享GPU内存升高了,从0.5GB升高到0.9GB,说明如下:</p> <p><strong>1)3D降低的原因</strong>:主要是绘制视频时使用了硬件加速,所以占用3D硬件加速资源。因为之前是软解,要将解码后的存在内存中的视频数据拷贝到GPU中绘制显示,这个拷贝的过程比较耗3D占用。而当前已经切换到硬解,视频数据硬解直接在GPU中处理,解码后的视频数据直接使用GPU绘制,省掉了视频数据拷贝的操作,所以3D占用下降了。<strong>2)GPU共享内存升高了</strong>:使用GPU硬解出来的视频数据要存放到GPU共享内存中,所以GPU共享内存升高了0.4个GB左右。</p> <p>使用GPU资源去做视频硬解,有效地分担了CPU处理数据的压力,有效地降低了CPU占用。在处理大分辨率的视频数据时,建议优先使用硬解。</p> <p><strong>5、最后</strong></p> <p>本文主要演示了如何使用PotPlayer视频播放器去观测视频软解和硬解时的CPU与GPU的占用情况,以供参考。</p></div></article><div class="pNjfy"><div class="lugd4"><svg fill="none" stroke="currentColor" stroke-width="4" viewBox="0 0 48 48" aria-hidden="true" focusable="false" style="font-size:16px" class="arco-icon arco-icon-eye"><path d="M24 37c6.627 0 12.627-4.333 18-13-5.373-8.667-11.373-13-18-13-6.627 0-12.627 4.333-18 13 5.373 8.667 11.373 13 18 13Z" clip-rule="evenodd"></path><path d="M29 24a5 5 0 1 1-10 0 5 5 0 0 1 10 0Z"></path></svg><span class="MRrY3">0</span></div><div class="lugd4"><svg fill="none" stroke="currentColor" stroke-width="4" viewBox="0 0 48 48" aria-hidden="true" focusable="false" style="font-size:16px" class="arco-icon arco-icon-thumb-up"><path d="M7 17v26m35.17-21.394-5.948 18.697a1 1 0 0 1-.953.697H14V19h3l9.403-12.223a1 1 0 0 1 1.386-.196l2.535 1.87a6 6 0 0 1 2.044 6.974L31 19h9.265a2 2 0 0 1 1.906 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主赛道","abstract":"最近我们的软件在硬解播放4K分辨率高清视频时遇到了效率不够的问题,为了搞清楚原因,我们需要使用其他音视频软件做个比对测试,测试一下当前PC的CPU和GPU能力。我们选择了视频播放器软件PotPlayer,看看该播放器分别软解和硬解4K高清视频时的资源占用情况,下面就概说一下测试过程,以供参考。 1、问题说明在测试过程中发现,我们的软件在硬解播放远端传过来的4K高清视频时会发生错误,然后自动切换到软","cover_image":{"key":"","url":"","size":0,"mime_type":"","rid":""},"mime_type":"","content":"\u003Cp\u003E最近我们的软件在硬解播放4K分辨率高清视频时遇到了效率不够的问题,为了搞清楚原因,我们需要使用其他音视频软件做个比对测试,测试一下当前PC的CPU和GPU能力。我们选择了视频播放器软件PotPlayer,看看该播放器分别软解和硬解4K高清视频时的资源占用情况,下面就概说一下测试过程,以供参考。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002F1d890bc809c2438bb870e0a920f9753a~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=8lF82PU5GusIKUlw6ToPX5UMKMo%3D\" alt=\"picture.image\"\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E \u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E1、问题说明\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E在测试过程中发现,我们的软件在硬解播放远端传过来的4K高清视频时会发生错误,然后自动切换到软解,切换到软解之后效率明显跟不上,视频出现了明显的卡顿(解码的速度很慢,导致视频播放有明显的延时)。\u003C\u002Fp\u003E\n\u003Cp\u003E为了大概摸排这个解码的问题,我们需要找一个音视频软件去对比测试一下在解码播放4K分辨率的视频时对CPU及GPU的占用情况,看看当前的CPU及GPU的性能能否满足当前的解码需求。当前我们的软件只涉及到视频的解码播放,不涉及视频编码,所以我们找一个视频播放器就可以了。\u003C\u002Fp\u003E\n\u003Cp\u003E我们之前使用过PotPlayer视频播放器,功能很强大,支持软解和硬解的切换,可以查看到详细的解码统计信息,对音视频开发人员非常有用。于是到网上下载一段4K分辨率的测试视频,使用PotPlayer播放器播放这个视频,看看对CPU和GPU占用情况。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E2、PotPlayer播放器介绍\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E很多做音视频开发的朋友,应该都听说过或使用过PotPlayer播放器。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002Fa600fd2a579f4d5c835ca6de5c287875~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=6JqKNts23InoCgi9nLLzs9VXnrg%3D\" alt=\"picture.image\"\u003E\n \u003C\u002Fp\u003E\n\u003Cp\u003EPotPlayer播放器是一款来自韩国的全能视频播放器,是 KMPlayer 的原制作者姜龙喜先生(韩国)进入 Daum 公司后的新一代作品。它不仅继承了KMPlayer的滤镜以及管理系统,而且Daum公司实现了KMPlayer没有实现的DXVA硬件解码(DXVA的全称为DirectX Video Acceleration,视频硬件加速)和多线程解码功能,使PotPlayer可以更加流畅地播放高清电影。\u003C\u002Fp\u003E\n\u003Cp\u003E其中,DXVA的全称是DirectX Video Acceleration,视频硬件加速。DXVA是微软公司专门定制的视频加速规范,它共有两个版本,分别是DXVA 1.0和DXVA 2.0。DXVA规范不仅仅是在视频播放过程中的解码计算规范,其还有与视频后期处理息息相关,例如反交错、色彩空间转换或图像缩放等等。对于视频播放时CPU利用率影响最大的,通常也是我们最关心的,非视频解码莫属,尤其是HD视频的解码(硬件解码),对于CPU较弱的系统来说,让显卡来完成解码是不二之选。\u003C\u002Fp\u003E\n\u003Cp\u003EPotplayer在相对小巧的体积下,实现了支持绝大多数视频格式的功能。普通用户无需安装第三方解码器即可播放主流格式的视频文件,支持BD和MKV大视频文件的播放。Potplayer程序中调用了修改过的 FFmpeg、MP3Lame 开源编解码器,并遵循其 LGPL 开源许可协议。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E3、视频的软解与硬解\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E视频解码播放主要涉及到两个操作,先解码视频(视频数据是经过压缩的),然后再去播放视频,其中视频解码是比较消耗CPU或GPU资源的。\u003C\u002Fp\u003E\n\u003Cp\u003E视频解码是对经过编码算法压缩的视频进行解码,分软解和硬解,软解则是使用CPU进行解码(使用CPU的计算能力),硬解则是使用GPU进行硬件解码,其中硬件解码的效率要更高一些。\u003C\u002Fp\u003E\n\u003Cp\u003E软件终端如果需要将本端摄像头采集到的图像发送到服务端,则需要对摄像头采集机出来的图像进行编码,编码相对于解码,要消耗更多的CPU(软解使用CPU)或GPU(硬解使用GPU)资源。\u003C\u002Fp\u003E\n\u003Cp\u003E对于4K这个高分辨率视频,要保证解码的效率以及较少延时,我们优先使用硬解,在硬解失败时再切换到软解,但软解4K高清视频,会占用很多的CPU资源,CPU的压力会大很多。\u003C\u002Fp\u003E\n\u003Cp\u003E除了解码,CPU作为机器的主控芯片,还要运行其他软件和处理其他事务,如果系统CPU占用过高,则会导致系统出现明显的卡顿。\u003C\u002Fp\u003E\n\u003Cp\u003E使用硬解时,主要占用GPU资源,可以有效地分担CPU处理数据的压力,有效地降低CPU的占用,从而不会影响当前系统中其他软件的运行。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E4、使用PotPlayer查看4K高清视频软解和硬解时的CPU占用情况\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003EPotPlayer打开视频后,在主窗口下方的工具条中可以点击软解(SW-Software)\u002F硬解(HW-Hardware)的按钮实现软件与硬解之间的切换,如下所示:\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002Fce74ed08c03a443f8e925c6421f9fb29~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=Qdyvj2wvJOzawkadXF5v3JtNsyA%3D\" alt=\"picture.image\"\u003E\n \u003C\u002Fp\u003E\n\u003Cp\u003E然后可以右键点击视频区域,在弹出的右键菜单中点击属性菜单项,在打开的属性窗口中查看当前解码使用的解码器类型。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E4.1、使用软解时CPU和GPU占用情况\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E用PotPlayer打开视频时,默认使用的是软解,右键点击视频区域,在弹出的右键菜单中点击属性,查看到使用的解码器类型为AVC1- 内置FFmpeg 解码器(h264, Thread Frame),如下所示:\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002Ff196c494b5c54bcdb6d141e824892767~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=n1uK4YRhJnP6kp3uQRzWFTkMzns%3D\" alt=\"picture.image\"\u003E\n \u003C\u002Fp\u003E\n\u003Cp\u003E上图中还可以看到当前解码的帧率, 当加速视频播放(以几倍速播放)时播放器会自动提升解码的帧率,可以自行测试一下。\u003C\u002Fp\u003E\n\u003Cp\u003E打开Windows任务管理器,查看到此时的CPU和GPU占用情况,如下所示:\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002F7e061f80d1764515b8d2b65d86d6ef15~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=y53CeYyLENoryEQy4yFyze1POR4%3D\" alt=\"picture.image\"\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E \u003C\u002Fp\u003E\n\u003Cp\u003E从图中可以看出,当前CPU占用大概在36%左右,GPU 3D占用大概48%, Video Decode和 Video Processing占用都是0。这三部分占用解释如下:(注意,此处的视频播放其实包含两部分,视频解码和视频播放,要区分开来)\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E1)3D(视频播放)\u003C\u002Fstrong\u003E :绘制视频时应该使用到了硬件加速,比如使用D3D绘图。\u003Cstrong\u003E2)Video Decode(视频硬解)\u003C\u002Fstrong\u003E :对编码压缩的视频数据进行硬解。\u003Cstrong\u003E3)Video Processing(视频硬解)\u003C\u002Fstrong\u003E :对硬解出来的视频进行缩放等操作。\u003C\u002Fp\u003E\n\u003Cp\u003E因为当前使用的软解,没用到硬解,所以Video Decode和Video Processing两项的占比都为0。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E4.2、使用硬解时CPU和GPU占用情况\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E点击视频窗口下方的工具条中软解(SW-Software)\u002F硬解(HW-Hardware)按钮,将当前的解码模式由软解切换到硬解,查看到使用的解码器类型为:AVC1 –Native D3D9 DXVA Decoder(VLD) - Intel(R) UHD Graphics 630,如下所示:\u003C\u002Fp\u003E\n\u003Cp\u003E \n\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002Fe835ea21b4dd49639cd36759478a9b3c~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=LpqS5n4fiDzxhqMMoelcVkG0CyE%3D\" alt=\"picture.image\"\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E然后我们到任务管理中看一下CPU和GPU占用变化趋势,如下所示:\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cimg src=\"https:\u002F\u002Fp3-volc-community-sign.byteimg.com\u002Ftos-cn-i-tlddhu82om\u002F787d3f7116944cf399d67fcefec84848~tplv-tlddhu82om-image.image?=&rk3s=8031ce6d&x-expires=1732517906&x-signature=isvRkJf3q%2FGLMOWZM%2FvLzIcAPU4%3D\" alt=\"picture.image\"\u003E\n \u003C\u002Fp\u003E\n\u003Cp\u003E首先CPU占用比例降到16%,因为硬解主要使用GPU硬解,所以CPU占用降低了。然后我们看到Video Decode和Video Processing两部分立马有了占用,其中Video Decode主要用于硬解视频数据,Video Processing主要用于硬解后的缩放处理。\u003C\u002Fp\u003E\n\u003Cp\u003E然后还看到两个明显的变化,一个是3D占用比例降低了,另一个是共享GPU内存升高了,从0.5GB升高到0.9GB,说明如下:\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E1)3D降低的原因\u003C\u002Fstrong\u003E:主要是绘制视频时使用了硬件加速,所以占用3D硬件加速资源。因为之前是软解,要将解码后的存在内存中的视频数据拷贝到GPU中绘制显示,这个拷贝的过程比较耗3D占用。而当前已经切换到硬解,视频数据硬解直接在GPU中处理,解码后的视频数据直接使用GPU绘制,省掉了视频数据拷贝的操作,所以3D占用下降了。\u003Cstrong\u003E2)GPU共享内存升高了\u003C\u002Fstrong\u003E:使用GPU硬解出来的视频数据要存放到GPU共享内存中,所以GPU共享内存升高了0.4个GB左右。\u003C\u002Fp\u003E\n\u003Cp\u003E使用GPU资源去做视频硬解,有效地分担了CPU处理数据的压力,有效地降低了CPU占用。在处理大分辨率的视频数据时,建议优先使用硬解。\u003C\u002Fp\u003E\n\u003Cp\u003E\u003Cstrong\u003E5、最后\u003C\u002Fstrong\u003E\u003C\u002Fp\u003E\n\u003Cp\u003E本文主要演示了如何使用PotPlayer视频播放器去观测视频软解和硬解时的CPU与GPU的占用情况,以供参考。\u003C\u002Fp\u003E","resource":{},"extra":{"source":{"app_id":3569,"name":"","author":""},"html_content":""},"parent_id":"0","parent_type":0,"last_version":1,"last_status":2,"last_create_time":1703834734,"last_update_time":1703835334,"status_tags":[],"create_user_id":"0","item_source":"0","arcosite_id":"","text_url":""},"user":{"user_id":"2949339244927264","user_type":14,"name":"努力的打工人","avatar":{"key":"","url":"https:\u002F\u002Fp3-passport.byteacctimg.com\u002Fimg\u002Fuser-avatar\u002F1f6b4192c61aaf9435eedca81133ac2d~300x300.image","size":0,"mime_type":"","rid":""},"status":2},"categories":[{"category_id":"6","name":"音视频","parent_id":"0","create_time":1637495002,"update_time":1637495249,"op_user_id":"0","abstract":"","cover_image":{"key":"","url":"","size":0,"mime_type":"","rid":""},"rank":0,"category_url":""}],"tags":[{"tag_id":"7309680608387530778","name":"技术","create_time":1702275504,"update_time":1702275504,"op_user_id":"7239923302087622693","create_user_id":"7239923302087622693","abstract":"","cover_image":{"key":"","url":"","size":0,"mime_type":"","rid":""},"status":2},{"tag_id":"7246291206253068347","name":"视频服务","create_time":1687158646,"update_time":1687158646,"op_user_id":"7189883613045997626","create_user_id":"7189883613045997626","abstract":"","cover_image":{"key":"","url":"","size":0,"mime_type":"","rid":""},"status":2}],"interact_status":{"is_like":false,"is_collect":false,"is_join":false,"like_count":0,"collect_count":0,"comment_count":0,"join_count":0,"evaluate_count":0,"evaluate_avg":0,"evaluate_self":0},"pool_status":{"is_top":false,"is_good":false,"is_recommend":false},"content_count":{"view_count":1987,"child_count":0},"op_info":{"op_user":null,"op_time":0,"op_resource":""}},"err_msg":"","err_no":0},"recomConfig":{"err_no":0,"err_msg":"success","data":{"recom_result":[],"service_info_map":[{"name":"万有商城","data":[[{"title":"万有商城","item":[]}]]},{"name":"企业服务与云通信","data":[[{"title":"域名与网站","item":[{"title":"SSL证书","link":"www.volcengine.com\u002Fproduct\u002Fcertificate-center","des":"可信赖的数字证书全生命周期管理平台,提供SSL证书和私有CA服务","desShort":"可信赖的数字证书全生命周期管理平台","enTitle":"certificate_service"},{"title":"边缘云商标服务","link":"www.volcengine.com\u002Fproduct\u002Ftrademark","des":"智能注册,快速提交,便捷管理,即时保护您的品牌;资深顾问,专业方案,全程跟进,助您注册省心无忧","desShort":"专业、高效的商标注册管理服务平台","enTitle":"trademark"},{"title":"域名注册","link":"www.volcengine.com\u002Fproduct\u002Fdomain-service","des":"提供域名注册、转入、委托购买、管理等服务,可选择的域名后缀丰富","desShort":"便捷的域名注册、转入、委托购买、管理等服务","enTitle":"domain_service"},{"title":"云解析DNS","link":"www.volcengine.com\u002Fproduct\u002Ftrafficroute","des":"安全、可靠、快速的权威DNS、递归DNS、私网DNS及全局流量管理GTM服务","desShort":"全系列云解析DNS和全局流量管理GTM","enTitle":"dns"},{"title":"账户管理","link":"","des":"16字以上描述16字以上描述16字以上描述","desShort":"账户管理","enTitle":""},{"title":"全局流量管理","link":"","des":"火山引擎云调度(GTM)是基于 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