OCTAVE VS MATLAB FOR MAC PASSWORD

You may need to enter the administrator password for your computer.ĥ. Open the downloaded image, probably named GNU_Octave_3.8.0-6.dmg on your computer, and then open Octave-3.8.0-6.mpkg inside.Ĥ. The file is large so this may take some time.ģ. You may need to enter your password to unlock the settings page.Ģ. Visit your System Preferences, click Security & Privacy, and check the setting to allow apps downloaded from Anywhere. You may need to configure it to allow the Octave installer.

OCTAVE VS MATLAB FOR MAC MAC OS X

Mac OS X has a feature called Gatekeeper that may only let you install applications from the Mac App Store. I have been attempting to use the following site:īut have not been very successful so far getting these examples working or as a guide to the Matlab to Octave translation I'm attempting.Īny assistance from Octave experts or those who have gotten computer vision working in both Matlab and Octave would be greatly appreciated.Installing Octave on Mac OS X (10.10 Yosemite and 10.9 Mavericks) What other differences should I be aware of to get this Matlab program running under Octave ? Is there an Octave equivalent of the 'vision' object? It is my understanding that 'vision' is part of the Matlab Toolbox, but I am unable to confirm this since I don't have access to Matlab. Obj.blobAnalyser = vision.BlobAnalysis('BoundingBoxOutputPort', true, 'AreaOutputPort', true, 'CentroidOutputPort', true, 'MinimumBlobArea', 400)

% (called 'blobs' or 'connected components'), and compute their characteristics, such as area, centroid, and the bounding box.

The blob analysis System object is used to find such groups % Connected groups of foreground pixels are likely to correspond to moving objects. Obj.detector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 40, 'MinimumBackgroundRatio', 0.7) % of 1 corresponds to the foreground and the value of 0 corresponds to the background It outputs a binary mask, where the pixel value % The foreground detector is used to segment moving objects from the background. % Create System objects for foreground detection and blob analysis Obj.maskPlayer = vision.VideoPlayer('Position', ) % and one to display the foreground mask Obj.videoPlayer = vision.VideoPlayer('Position', ) % create two video players, one to display the video, Obj.reader = vision.VideoFileReader('768x576.avi') % create a video file reader % initialize Video I/O, create objects for reading a video from a file, drawing the tracked objects in each frame, and playing the video

MultiObjectTracking>setupSystemObjects at line 38 column 16 added 'pkg load image ' at the beginning of main.m and multiObjectTracking.m, in the few test Octave computer vision programs I did this seemed to be necessary, otherwise I would get an error to the effect of 'library image has been installed but not loaded'Ĭurrently when I run the program I get the following error: error: 'vision' undefined near line 38 column 18

OCTAVE VS MATLAB FOR MAC CODE

Since I don't have the 'atrium.avi' file used by MathWorks, I changed the VideoFileReader line in the code to use '768x576.avi', which is included with OpenCV ('768x576.avi' is also uploaded to the GitHub repo linked above) Made a separate main.m file to run multiObjectTracking.m I made a GitHub repository for what I have so far, which mostly a re-formatted version of the MathWorks link above: I'm trying to get this Matlab example from the MathWorks site to work with Octave 4.0.0:

Octave vs matlab for mac