I am writing some code where MATLAB queries Git tags: [status, cmdout] = system("TERM=xterm; git tag -l") On my Windows 11 partition, where I wrote the code in the first place, this works fine, I get a newline-separated list of…
I am trying to run a 3rd party toolbox (Measures of Effect Size (MES) Toolbox) that is dependent on Statistics_Toolbox license. In a 'classical' for loop, the computation is done without any errors but whenever I run the computations in…
I'm using ROS Noetic on Ubuntu 20.04 (kernel version 5.15.0-53-generic) on a MSI GF66 and I have encountered a strange problem when analyzing a recorded rosbag. I have to publish at 10 Hz by means of a Simulink model some…
I've just created a script file in MATLAB, but can not run it. The name of my script is getEnvFiles.m. When I first tried to run it, I got the following result: >> getEnvFiles 'getEnvFiles' is not found in the…
I'm working on my Master's Thesis. My director uses MATLAB, I use Python. So I need to run his MATLAB scripts on Python. There are many questions out there on this topic. I tried to install Install MATLAB Engine API…
I have seen many tutorials that people blend two images that are placed on top of each other very nicely in Photoshop. For example here are two images that are placed on top of each other: Then in Photoshop after…
I need to find text areas on a natural image. I = rgb2gray(imread('image-name.jpg')); points = detectHarrisFeatures(I); imshow(I); hold on; plot(points); Above version of code retrieves all detected strongest points. When I change the line that starts with "plot" like this:…
The task I want to achieve is to replicate Photoshop RGB to LAB conversion. For simplicity, I will describe what I did to extract only the L Channel. Extracting Photoshop's L Channel Here is RGB Image which includes all RGB…
I have an image like below. It has black border/regions in the top and right side of the image. I want to be able to find these regions like shown in the 2nd images. Note these regions should be always…
I'm using Matlab ( github code repository ). The details of the network are: Hidden units: 100 ( variable ) Epochs : 500 Batch size: 100 The weights are being updated using Back propagation algorithm. I've been able to recognize…