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how to fix the (Error using mexOpenCV) on matlab?


how to fix the (Error using mexOpenCV) on matlab?

By : JefersonPerrot
Date : November 24 2020, 04:01 AM
With these it helps It looks like you might have headers for two different versions of OpenCV. This:
code :
C:\Program Files\MATLAB\R2018a\toolbox\vision\builtins\src\ocvcg\opencv\include
E:/BAW/study/doctoral/bgslibrary-master/package_bgs/opencv-3.4.4/build/install/include


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Error when trying to use mexopencv in matlab

Error when trying to use mexopencv in matlab


By : Prince Woke
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further This is an unresolved symbol from QT library. Make sure you have QT installed on your system:
code :
sudo dpkg -l | grep libqt
Compiling mexopencv in OS X 10.9 with Xcode 5 and Matlab R2013b

Compiling mexopencv in OS X 10.9 with Xcode 5 and Matlab R2013b


By : Freshleaf Media
Date : March 29 2020, 07:55 AM
I wish this helpful for you I finally figured out my problem, the solution of which led to other problems, which I eventually was able to solve. So here's a complete step-by-step procedure of what I did to get mexopencv working on my system (some steps will be repeated from my original question).
Get mexopencv from http://www.cs.sunysb.edu/~kyamagu/mexopencv/ Implement the Mathworks workaround to get the Matlab mex compiler working with Xcode 5 Run mex -setup from within Matlab
code :
MLIBS="$TMW_ROOT/bin/$Arch/libmx.dylib $TMW_ROOT/bin/$Arch/libmex.dylib $TMW_ROOT/bin/$Arch/libmat.dylib"
imshow(cv.Canny(rgb2gray(imread('peppers.png')), [10 100]))
>> imshow(cv.Canny(rgb2gray(imread('peppers.png')), [10 100]));
Error using cv.Canny
Invalid MEX-file '/Users/dgolden/software/cpp/mexopencv/+cv/Canny.mexmaci64': dlopen(/Users/dgolden/software/cpp/mexopencv/+cv/Canny.mexmaci64, 6): Library not loaded:
/opt/local/lib/libtiff.5.dylib
  Referenced from: /opt/local/lib/libopencv_highgui.2.4.dylib
  Reason: Incompatible library version: libopencv_highgui.2.4.dylib requires version 8.0.0 or later, but libtiff.5.dylib provides version 6.0.0
imshow(cv.Canny(rgb2gray(imread('peppers.png')), [10 100]))
How can I compile the vlfeat and mexopencv libraries in MATLAB using the Visual c++ compiler?

How can I compile the vlfeat and mexopencv libraries in MATLAB using the Visual c++ compiler?


By : user3006288
Date : March 29 2020, 07:55 AM
I hope this helps you . The reason why you can't find the compiler is because you are using MATLAB R2008a. The C++ compiler you have downloaded is probably too new for MATLAB to use. My guess is that you are using Express 2013. See the following link on what compilers R2008a can support for MEX here:
http://www.mathworks.com/support/compilers/release2008a/
Extract BRIEF features with mexopencv

Extract BRIEF features with mexopencv


By : Mridul Manas
Date : March 29 2020, 07:55 AM
wish of those help I am trying to extract binary features in Matlab with mexopencv. If I use ORB as a detector and extractor everything works fine. The problem is when I try to use BRIEF extractor. This is the code I am using: , I solved the problem thanks to @Miki suggestions.
How to convert opencv functions to mexopencv functions useable in matlab?

How to convert opencv functions to mexopencv functions useable in matlab?


By : Gisha
Date : March 29 2020, 07:55 AM
Any of those help If you would like to use these functions specifically in MATLAB you could always write your own MEX file in C/C++ and send the data back/forward between the two calls, however this would require some basic C++ knowledge and understanding creating MEX files.
Personally I would definately recommend trying this with Python and the OpenCV Python interface since its so widely used and more supported than using the calls in MATLAB (plus its always a useful skill to be able to switch between Python and MATLAB as and when needed).
code :
import cv2
import sys

(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')

if __name__ == '__main__' :

    # Set up tracker.
    # Instead of MIL, you can also use

    tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN']
    tracker_type = tracker_types[2]

    if int(minor_ver) < 3:
        tracker = cv2.Tracker_create(tracker_type)
    else:
        if tracker_type == 'BOOSTING':
            tracker = cv2.TrackerBoosting_create()
        if tracker_type == 'MIL':
            tracker = cv2.TrackerMIL_create()
        if tracker_type == 'KCF':
            tracker = cv2.TrackerKCF_create()
        if tracker_type == 'TLD':
            tracker = cv2.TrackerTLD_create()
        if tracker_type == 'MEDIANFLOW':
            tracker = cv2.TrackerMedianFlow_create()
        if tracker_type == 'GOTURN':
            tracker = cv2.TrackerGOTURN_create()

    # Read video
    video = cv2.VideoCapture("videos/chaplin.mp4")

    # Exit if video not opened.
    if not video.isOpened():
        print "Could not open video"
        sys.exit()

    # Read first frame.
    ok, frame = video.read()
    if not ok:
        print 'Cannot read video file'
        sys.exit()

    # Define an initial bounding box
    bbox = (287, 23, 86, 320)

    # Uncomment the line below to select a different bounding box
    bbox = cv2.selectROI(frame, False)

    # Initialize tracker with first frame and bounding box
    ok = tracker.init(frame, bbox)

    while True:
        # Read a new frame
        ok, frame = video.read()
        if not ok:
            break

        # Start timer
        timer = cv2.getTickCount()

        # Update tracker
        ok, bbox = tracker.update(frame)

        # Calculate Frames per second (FPS)
        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);

        # Draw bounding box
        if ok:
            # Tracking success
            p1 = (int(bbox[0]), int(bbox[1]))
            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
            cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
        else :
            # Tracking failure
            cv2.putText(frame, "Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX, 0.75,(0,0,255),2)

        # Display tracker type on frame
        cv2.putText(frame, tracker_type + " Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50),2);

        # Display FPS on frame
        cv2.putText(frame, "FPS : " + str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);

        # Display result
        cv2.imshow("Tracking", frame)

        # Exit if ESC pressed
        k = cv2.waitKey(1) & 0xff
        if k == 27 : break
mex trackerMexOpenCV.cpp 'true filepath location to openCV lib'
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