I would like to know how is it possible to use a free C++ program to acquire image from a matrix vision frame grabber. Thanks.
See http://www.matrix-vision.com/support/hardwareinfo.php?lang=en
Check the documentation of your frame grabber card. Look for "SDK" (software development kit). Maybe your operating system has its own interface which you can use if the "driver" has been installed. I would guess you have to do both things: Install all drivers and use some special library as part of the SDK that is provided with this product.
The SDK (hopefully a dll with some exported functions for your help) usually comes by installing the grabber's drivers.Since it is a graphic card my guess would be that it would be found among the media devices which you can retrieve.
The SDK is stand alone and therefore can be used by your code in c++
Related
I need to deploy a hard drive image to a customer which on the first boot detects the graphics card type and installs the appropriate drivers. So what this means in terms of code is that I need to detect the deviceid of the graphics card in C++ without using GPU specific libraries like NvAPI or AMD SDK.
I know that EnumDisplayDevices can retrieve deviceids, so all I need to know is whether this is possible with EnumDisplayDevices, or whether the GPUs drivers must be installed before EnumDisplayDevices can detect it. How the function actually goes about obtaining this information isn't mentioned in the MSDN article.
Thanks,
Bill.
For my purposes I needed to know the name and model of the graphics card, and it turns out EnumDisplayDevices can't retrieve this information until the drivers are installed.
For fun i'd like to write code that runs on OSless hardware. I think writing code that will run in a VM (like VMware or virtualbox) would be good. However i don't want to start from scratch. I'd like the C++ runtime to be available. Something that allows me to read/write (maybe FAT32 filesystem code). Graphics for text and if i can graphics for drawing on screen (pixel by pixel. sdl support would be a bonus but not essential).
I'll write my own threads if i want them. I'll write everything else (that i want to use) needed for an OS. I just want a basic filesystem, gfx and keyboard/mouse support.
Take a look at the list of projects on osdev.org - (http://wiki.osdev.org/Projects) - most of these are hobbyist, open-source and range from just-a-bootsector through to proper threads/graphics/terminal support.
Minix3 targets your desires pretty well.
You should definitely take a look at OSKit (links to source code on this site are dead but there is a mirror here). Unfortunately, OSKit has no support for C++ but using this information you may be able to use GCC libraries.
every one. i am a newbie to cuda. i am wondering that can cuda be used combining with ActiveX technology，
the presented ocx or dll file can be used in webpage，
for example， using cuda can we simulate a fluid particle easily.
if combine cuda and activeX technology ,
we can see fluid particle in a webpage, am i right?
what's more, if there are problems when i simulate lots of particles?
Thank you very much.
I think that if ActiveX could access your GPU on such low level as running your arbitrary CUDA code, it would be a big security risk. If on the other hand, ActiveX could perform some of its computations on the GPU though some higher-level interface, that would be safer, but it is Microsoft who would have to implement it, not you.
A trusted ActiveX control can do anything. So, yes, you could theoretically spin up the CUDA runtime and go to town with the GPU. You would need to distribute the CUDA runtime with the ActiveX control, but everything else you need would already be installed assuming they're using an nVidia GPU. FWIW, distributing cudart.dll is permissable per the EULA on the CUDA Developer Toolkit.
Since, last I read, you cannot statically link against cudart.dll, you would need to distribute that dependency along with your ActiveX control by using a CAB file. Details on creating CAB files can be found here on MSDN. Then again that forum post is from 2008, so maybe newer versions of cudart.dll can be statically linked now... you might want to give it a try.
First and foremost, it runs on the client machine. What means that the client needs to have a CUDA enabled graphics card (nVidia only).
How difficult is it to make software for a webcam such as the Gateway USB 2.0 Web Cam? I would like to be able to retrieve picture snapshots on demand. Is there a C++ library or other API that I may use to do so?
The answer depends on what platform you are using. For example, if on Windows, you can retrieve data from the camera using the DirectX API, Linux has Video4Linux and Mac has QuickTime.
There are some cross-platform wrappers which provide a layer above the native video API, and therefore offer a common API across multiple platforms. One such project is OpenCV which - although not intended primarily for camera capture use cases - does support them via the cvCaptureFromCAM and cvQueryFrame functions.
The QtMobility Multimedia APIs will also offer cross-platform camera support, but this API is not yet implemented. Check back in Qt 4.7 if this library looks interesting to you.
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
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 BeagleBoard. 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.
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.
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.
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
You can use the Blackfin kit from Analog Devices. Analog Devices have created a library similar to opencv for the blackfin DSP processor.
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
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?
Vision Components seem to support the OpenCV in their Smart Cameras (see this article).
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