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2017-08-22 13:40:41 -0600	received badge	● Student (source)
2017-02-10 09:36:45 -0600	commented question	OpenCV3.0 missing headers and libraries. And how can I build "INSTALL" for release? I selected in Visual Studio "Release x64", but only the `build/install/debug` folder appears and not the release folder.
2017-02-08 16:59:00 -0600	commented question	LINK : fatal error LNK1104: cannot open file '..\..\lib\Debug\opencv_core248d.lib' Got the same problem, too. Any solutions?
2017-02-05 04:47:07 -0600	asked a question	Build OpenCV 3.2 with IPP_A I want to build OpenCV 3.2 (for Visual Studio 2015, Win64) with IPP_A. When I tick `WITH_IPP_A` in CMake and configure again, I get the following values: `IPP_A_INCLUDE_DIR = IPP_A_INCLUDE_DIR-NOTFOUND IPP_A_LIBRARIES = IPP_A_LIBRARIES-NOTFOUND` How can I fix this? Downloading it from intel just gives me an IPP folder without an include, etc. folder.
2016-03-05 14:53:21 -0600	received badge	● Editor (source)
2016-03-05 14:52:15 -0600	asked a question	OpenCV dft audio getting spectrogram I have a audio sequence that was captured with my microphone. This sequence is represented in a cv::Mat object with 1 row and n columns, where n represents the number of samples (=length) of my audio file. I want to get the frequency spectrogram using Discrete Fourier Transform in OpenCV. I tried to make some example codes work, but I do not get the image I want to get. Edit This is the input image (the sound visualized as Mat for OpenCV): I read each 20 samples (20 pixels in x-direction) and multiply it with a hanning-window-function. Than I do the discrete fourier transform (dft) and get for each 20-sample-window the dft's result: e.g.: . How can I get by multiple of theses images a spectrogram? Thanks!
2016-02-14 07:53:44 -0600	received badge	● Enthusiast
2016-02-12 00:13:34 -0600	asked a question	Kalman filter 3D I want to implement the kalman filter for a moving object in r3 (X,Y,Z-coordinate). I tried to understand the OpenCV documentation but this is really not helpful and very rare. The syntax for the initialization is: KalmanFilter::KalmanFilter ( int dynamParams, int measureParams, int controlParams = 0, int type = CV_32F) In my case, is dynamParams = 9 and measureParams=3? And what is the transitionMatrix in my case?
2016-02-05 16:00:47 -0600	received badge	● Supporter (source)
2016-01-02 09:17:19 -0600	asked a question	tracking opencv 3 I have the background-subtracted Video of a scene with several moving objects: The moving objects are white pixels (1) ; the background is black (0). In OpenCV 2.4, there was this "Legacy" folder containing the blobtrack.hpp file, that was able to track these moving objects and give them an ID. Is there a possibility to do this in OpenCV 3 (C++), too? I need "ID-feature", that can determine which object in the first frame is the object in the second frame. Thank you very much!