blocks|key|5062680|text|奔腾/PC构建的OpenCV应用程序可以在任何具有相同操作系统的Atom平台上运行。这是因为Atoms本身就运行Pentium可执行文件。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5062681|如果您正在寻找嵌入式程度更高的解决方案，可以为BeagleBoard提供OpenCV端口。SInce+OpenCV是可移植的代码，它可以编译到大多数提供C/C%2B%2B编译器的系统上。我已经成功地在ARM、MIPS和XScale处理器上使用了OpenCV。|offset|length|5062682|至于移动平台，有iPhone、安卓和各种Windows+CE/+mobile+/Embdeed版本的端口。|5062683|entityMap|0|LINK|mutability|MUTABLE|url|http://beagleboard.org/^0|0|N|B|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@$D|R|E|S|1|T]]|A|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

A Pentium/PC built OpenCV application will run on any Atom platform with the same OS unmodified. This is because Atoms natively run Pentium executables. 

If you are looking for a more embedded solution, there are OpenCV ports for the <a href="http://beagleboard.org/" rel="nofollow">BeagleBoard</a>. SInce OpenCV is portable code, it can be compiled to most systems that provide a C/C++ compiler. I have successfully used OpenCV on ARM, MIPS and XScale processors. 

As for mobile platforms, there are ports to the iPhone, Android and various Windows CE/Mobile/Embdeed versions.

blocks|key|182210|text|如果你正在寻找一个非常小的选择，我强烈推荐Gumstix+Overo系列。我将它们用于我的计算机视觉研究，它们工作得非常好。有几个处理器的选择，我推荐Overo+Tide模块，它有512MB的RAM，以及一个用于卸载一些CV操作的板载DSP。再加上一块Tobi扩展板和几根电缆，你就有了一个完整的嵌入式计算机视觉研究平台，价格约为350美元。他们还卖一款小相机，我还在试一试。Gumstix的好处是你可以在板上构建OpenCV，这为你省去了一些使用BitBake类型的解决方案的麻烦。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|182211|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

If you're looking for a very small option, I strongly recommend the Gumstix Overo series. I use them for my Computer Vision research, and they work really well. There are a couple of options for processors, I'd recommend the Overo Tide module, which has 512 MB of RAM, and an onboard DSP for offloading some CV operations. Combine this with a Tobi expansion board and a few cables, and you've got a full embedded computer vision research platform for ~$350. They also sell a small camera, which I'm still getting around to trying out. What's nice about the Gumstix is you can just build OpenCV onboard, which saves you some of the headaches with BitBake type solutions.

blocks|key|2091078|text|我个人推荐TI+OMAP平台-+Beagleboard、xM和PandaBoard。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2091079|这些主板具有嵌入式视频输入，运行Linux，并且有足够的性能来运行OpenCV。它们也非常便携，并且有很好的社区支持。|2091080|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

I'd personally recommend TI OMAP platforms - Beagleboard xM and PandaBoard.

Those boards have embedded video input, run Linux, and have more than enough performance to run OpenCV. They are also extremely portable and have good community support.

blocks|key|5062434|text|您指的是最初由英特尔开发的计算机视觉库OpenCV吗？我倾向于在moblin.org上使用英特尔的嵌入式Linux+Moblin，而对于硬件，我倾向于使用上网本或任何Moblin支持的PC。从www.qbik.ch/usb/devices/search_res.php?pattern=webcam的列表中连接一个受支持的网络摄像头。维基百科上有一个条目可能会有所帮助。你的项目听起来很有趣！干杯--瑞克|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5062435|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Do you mean OpenCV the computer vision library originally developed by Intel? I would be inclined to start with Moblin, Intel's embedded Linux, at moblin.org and for hw use a netbook or any PC that Moblin supports. Hook up a supported webcam from the list at www.qbik.ch/usb/devices/search_res.php?pattern=webcam . 
There is a Wikipedia entry that might help. Your project sounds like fun!
cheers -- Rick

blocks|key|2948759|text|您可以使用kit公司的Blackfin套件。a公司已经为blackfin+DSP处理器创建了一个类似于opencv的library。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2948760|entityMap|0|LINK|mutability|MUTABLE|url|http://www.analog.com/en/embedded-processing-dsp/blackfin/BF_IPTBX_00/processors/product.html^0|1M|7|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

You can use the Blackfin kit from Analog Devices. Analog Devices have created a <a href="http://www.analog.com/en/embedded-processing-dsp/blackfin/BF_IPTBX_00/processors/product.html" rel="nofollow noreferrer">library</a> similar to opencv for the blackfin DSP processor.

blocks|key|2095976|text|您可以使用Symbian模拟器进行硬件测试，诺基亚有Open+CV+for+Symbian用于硬件测试，您必须将邮件投递给他们，他们会在给定时间内通过telnet为您提供硬件|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2095977|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

you can use Symbian Simulator for this they Nokia have there Open CV for Symbian for hardware testing you have to drop the mail to them they will provide u the hardware through the telnet for given time of time

blocks|key|182155|text|OpenCV不需要任何“特殊”硬件来工作。你可以使用普通文件(例如JPG)中的图像来充分利用它|type|unstyled|depth|inlineStyleRanges|entityRanges|data|182156|你看过一些教程/代码了吗？他们是否需要一些你没有的特定的东西？|182157|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

OpenCV does not need any "special" hardware to function. You can use it fully using images from normal files (e.g. JPG)

Have you looked at some of the tutorials/code? Do they require something specific that you do not have?

blocks|key|2948859|text|Vision+Components似乎在他们的智能相机中支持OpenCV+(参见此article)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2948860|entityMap|0|LINK|mutability|MUTABLE|url|http://www.vision-components.com/en/|1|http://www.automation.com/content/opencv-now-running-on-all-vision-components-smart-cameras^0|0|H|0|15|7|1|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]|$A|R|B|S|1|T]]|C|$]]|$1|D|3|-4|5|6|7|U|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]]]

<a href="http://www.vision-components.com/en/" rel="nofollow">Vision Components</a> seem to support the OpenCV in their Smart Cameras (see this <a href="http://www.automation.com/content/opencv-now-running-on-all-vision-components-smart-cameras" rel="nofollow">article</a>).

blocks|key|184508|text|我想我回答得太晚了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|184509|我最近将opencv3.4.6与PC-104板(PCM3365)一起用于工业应用。|184510|唯一要注意的是，当我使用cv::Videocapture启动webcamera时，打开它需要很长时间(大约30-40秒)，除此之外一切都很好。|184511|祝好运|184512|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

I guess I am late to answer.
I have recently used opencv3.4.6 with PC-104 boards (PCM3365) for an INDUSTRIAL Application.
Only thing to note is that when i start webcamera using cv::Videocapture, it takes a long time to open (around 30-40secs), otherwise everything is fine.
Good Luck

Can some suggest a test/development embedded platform to use with OpenCV.
I would like to develop an embedded video analytics solution, but I don't know where to start.
Some suggestion/ideas/hw starter kits?

Maybe some Pc-104 solutions with Intel Atom? Has someone made some test about performances on this platform or any other embedded platform?

Thanks

OpenCV on Embedded Platform

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

有些人可以建议使用OpenCV的测试/开发嵌入式平台。我想开发一个嵌入式视频分析解决方案，但我不知道从哪里开始。一些建议/想法/硬件初学者工具包？也许是一些使用Intel Atom的Pc-104解决方案？有没有人对这个平台或其他嵌入式平台的性能做了一些测试？谢谢

问嵌入式平台上的OpenCV
EN

回答 9

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问嵌入式平台上的OpenCVEN

回答 9

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问嵌入式平台上的OpenCV
EN