2013-10-28 03:56:10 -0600 | commented answer | Advice to create GUI for OpenCV app I know you can, but to make it work with OpenCV you must build it using the Visual Studio command prompt. Otherwise it won't work. This is also recommended in OpenCV documentation |
2013-10-26 10:41:53 -0600 | answered a question | Advice to create GUI for OpenCV app Look at the answer posted here: "http://answers.opencv.org/question/22564/how-to-do-opencv-in-windows-application/#22579" it gives an example for combining winforms and OpenCV. Another option is to use Qt. However, you first need to build OpenCV with Qt support. This requires 3 steps: 1. build Qt from source. 2. configure OpenCV with QT support (see the answer given here for these 2 steps: http://answers.opencv.org/question/22816/how-to-set-the-path-to-qt5-in-cmake/#22817), and 3. build OpenCV (this is pretty standard, just build the solution generated with Cmake (see step 2)). A nice step-by-step tutorial for creating a GUI application using OpenCV with Qt support is given here: http://www.youtube.com/watch?v=0ONxIy8itRA |
2013-10-24 07:21:47 -0600 | commented answer | How to set the path to QT5 in cmake? glad to hear that! |
2013-10-23 08:43:41 -0600 | commented answer | camera to detect small objects I'm afraid you cannot attach lenses to a standard webcam as the later comes with its onw lenses (which are usually wide angle lenses). What you can do though is to follow the instructions given in the first link I gave, and estimate what's the right focal length for your application. Then go and find a webcam with lenses of similar focal length. The tricky think is that very few webacams provide specifications for their lenses. You might have to ask the manufacturer then. |
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2013-10-21 15:44:50 -0600 | answered a question | camera pose estimation Note sure if I got it correctly but If you have a stereo camera pair, then why don't you just apply solvePnP for the image captured by the 'second' (say the Right) camera. This way you'll get the R+T for this camera. Note that the 'distCoeffs' may well be different to that of the 1st camera, and obviously it has to be known to use the solvePnP function. In case you want the R+T of the 2nd camera with respect to the 1st camera, then I think you have to multiply the R+T matrix of the 1st camera with the inverse R+T matrix found for the second camera, where R+T matrix is the transformation matrix in homogeneous coordinates (for example, see here, or here). OpenCV has function for affine transformations (look here) |
2013-10-21 13:10:57 -0600 | answered a question | How to set the path to QT5 in cmake? Here are the steps that worked for me in configuring OpenCV with Qt and Visual Studio:
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2013-10-21 10:09:25 -0600 | commented question | undefined reference to `cvLoadImage' cvLoadImage should be fine as soon as you include library references in the .pro file, for example: INCLUDEPATH += "C:/OpenCV245/mybuild2/install/include" LIBS += -L"C:/OpenCV245/mybuild2/install/lib" \ -lopencv_core245d \ -lopencv_imgproc245d \ -lopencv_highgui245d DONT forget the 'l' letter just in front of each lib name. |
2013-10-21 09:52:38 -0600 | commented answer | can svm classifier in opencv use for digital signal processing? Well this has to do with the speed of your computer. Why don't you try a simulation experiment? That is, create a bunch of Mat structures with the number and size that you want, and measure how long it takes to create/process them with openCV. In this link (http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html) you can find a nice tutorial on how to feed the Mat structure with training data, etc. |
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2013-10-21 03:37:10 -0600 | answered a question | HELP!!!! having issues tracking 2 colors
Try to create a second thresholded image (say "thresholded2"), and use: 2.In this link you can find a basic tutorial for color object tracking where a circle is drawn around a color object tracked using OpenCV (it also explains how to set the center coordinates of the circle). |
2013-10-21 03:25:18 -0600 | answered a question | Using camera calibration parameters in a real-time video capture application Here are the three main steps you should follow after you've saved the intr./extr. params in xml files (I'm using C routines):
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2013-10-20 16:36:17 -0600 | answered a question | can svm classifier in opencv use for digital signal processing? Well, SVM is a machine learning technique that is not specific to vision applications. Having said that, SVM may well be used for DSP applications (and plenty of others). The implementation in OpenCV is not specific to images, but requires the data being formatted as |
2013-10-20 15:58:07 -0600 | answered a question | camera to detect small objects I think your question has more to do with selecting the right lenses for your camera. In the following link you can find a nice white paper that explains what lenses a camera should have, and what the right resolution of the camera should be, for a given application. It contains some examples too. It's all about working distance and maximum size (width/height) of the objects that you'd like to image: Choosing the right lenses For a basic (and easy to follow) optics tutorial you can have a look here |
2013-10-20 15:22:27 -0600 | commented answer | How to do OpenCV in Windows Application? Ok, I correct my remark too: "In the following link the user can find a nice step-by-step tutorial for creating a windows application using OpenCV with Qt: http://www.youtube.com/watch?v=0ONxIy8itRA . I hope this helps the user" |
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2013-10-18 17:05:14 -0600 | commented answer | How to do OpenCV in Windows Application? Are you a lawyer of the 'user'???...with Qt you can make WINDOWS APPLICATIONS and NOT winforms that you describe!!!!...read more carefully next time, post your answer and dont criticize with arrogance!!!!!! |
2013-10-16 14:02:19 -0600 | answered a question | OpenCV and usb capture device i think opencv grabs video from most usb cameras: link text |
2013-10-16 13:58:55 -0600 | answered a question | How to do OpenCV in Windows Application? goggle 'opencv with Qt'...there are some nice youtube videos out there... |
2013-10-11 16:40:41 -0600 | asked a question | Control Panel is disabled in Qt backened cvNamedWindow toolbar Hi All, I’ve configured OpenCV with Qt support and everything works fine apart from the ‘Properties Window’ icon which is disabled. Another option is to display it by Right clicking on the image window, but the icon is disabled there too: In my understanding, this icon activates a 'Control Panel' where buttons, etc, can be attached. As a result, If I try to create a button my program crashes displaying: Is this a known bug? Or it has to do with the way I installed Qt/OpenCV? I’ve configured OpenCV 2.4.5 with Qt 4.8.5. |