Why do I get the error “Dimensions of arrays being concatenated are not consistent.”?
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Can anybody help me why my code show me this error when i run it? i have attached my code.
19 Commenti
Sara
il 4 Giu 2014
The error means you are trying to concatenate a row array with a column array. You'll need to tell us at what line the code fails and attach the fig file for people to try your code.
Misrak Seifu
il 4 Giu 2014
Sara
il 4 Giu 2014
First, you'll need the ... at the end of each line that is interrupted, e.g.,
attributes=[get(handles.male,'Value'),get(handles.female,'Value'),get(handles.multiplefaces,'Value'),get(handles.partialfaces,'Value'),...
Then, are the choices mutually exclusive? i.e. if you select male, can you select female too?
On line 216, try replacing the commas with semicolons between elements.
Misrak Seifu
il 4 Giu 2014
Sara
il 4 Giu 2014
I'd recommend replacing the check boxes with radio buttons then. In your GUI I could select more than one option per panel, which is clearly inconsistent with what you are trying to do.
Misrak Seifu
il 4 Giu 2014
Sara
il 4 Giu 2014
what is currentimagefile(1:indx-1)?
Misrak Seifu
il 4 Giu 2014
Sara
il 4 Giu 2014
I mean, what is its value?
Misrak Seifu
il 4 Giu 2014
Sara
il 4 Giu 2014
can you show exactly the value of that variable?
ADITI SINGLA
il 16 Mar 2016
Modificato: ADITI SINGLA
il 16 Mar 2016
Sir/Madam i also got this error,how to correct it?I cant get it from the above comment. X = [zeros(WLEN, 2); x; zeros(NFFT, 1000)'] size(zeros(WLEN,2)) ans = 1 2 >> size(x) ans = 2 1000 >> size(zeros(NFFT,1000)') ans = 1000 512 ------------------------ Error using vertcat Dimensions of matrices being concatenated are not consistent. Error in stft (line 45)
X = [zeros(WLEN, 2); x; zeros(NFFT, 1000)']
MathWorks Support Team
il 29 Nov 2018
The error for the specifc code occurs because a specific line does not end with a "..."
Daryl Eduardo Sanchez Huamani
il 2 Mag 2023
Spostato: Rik
il 2 Mag 2023
A=[5 1 1 -1;1 8 -1 -6;1 2 -4 1; 1 2 -1 16]
B=[2 -72 256 -11]
%ELIMINACIÓN
[AB]=[A B];
X1=rref(AB)
Rik
il 2 Mag 2023
@Daryl Eduardo Sanchez Huamani Of course that will give you an error. What else where you expecting? You are trying to add an array of size 1x4 to an array of size 4x4. That would work if you tried to add it as the next row, but you tried to add it as the next columns. To do that, you need to make sure the number of rows match between the two arrays.
Petroc Brown
il 15 Ago 2023
and the award for most condescending responce goes to ....... @Rik
Rik
il 15 Ago 2023
Condescension is in the eye of the beholder. I pointed out why the error occured as well as a path to a solution, so my comment at least has some value in that regard.
Do you have a suggestion for how I should refrase my comment? Or did you just want to start a flame war? In the former case, feel free to comment with your suggestion. In the latter case I will delete this comment.
Pranav
il 30 Giu 2024
the matlab community is horrible.
this message is brought to you by python gang.
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Ivan Dwi Putra
il 27 Nov 2019
I have the same error too
this is my code
close all
% Initial Conditions
% x0 = [3; % 3 radians
% 0]; % 0 rad/s
%Parameter Massa
m1 = 650; % massa train set 1 dalam kg
m2 = 650; % massa train set 2 dalam kg
%Parameter Gaya
f1 = 1170; % dalam N
f2 = 1170; % dalam N
t = [0:100:1000];
% System Dynamics
% a = f1./m1 - (0.004 + (0.00032.*(1.5-(0.015.*sin(0.2.*t)-50))));
% b = f2./m2 - (0.0025 + (0.0004.*(1.6-(0.01.*sin(0.3.*t)-50))));
A = [0 1 0 0
0 f1./m1 - (0.004 + (0.00032.*(1.5-(0.015.*sin(0.2.*t)-50)))) 0 0
0 0 0 1
0 0 0 f2./m2 - (0.0025 + (0.0004.*(1.6-(0.01.*sin(0.3.*t)-50))))];
B = [0;
1/m1
0
1/m2];
C = [1 1 1 1];
D = 0;
% Control Law
Q = [1 0 0 0;
0 1 0 0
0 0 1 0
0 0 0 1];
R = [1 0 0 0;
0 1 0 0
0 0 1 0
0 0 0 1];
K = lqr(A,B,Q,R);
% Closed loop system
sys = ss((A - B*K), B, C, D);
kevin harianto
il 8 Apr 2022
I am wondering if there is a way to dynamically adjust this as my error is also error using horzcat, dimensions of the arrays are not consistent: at Location = [Location, ptCloud.Location];
outputFolder = fullfile(tempdir,"Pandaset");
preTrainedMATFile = fullfile(outputFolder,"trainedSqueezeSegV2PandasetNet.mat");
preTrainedZipFile = fullfile(outputFolder,"trainedSqueezeSegV2PandasetNet.zip");
if ~exist(preTrainedMATFile,"file")
if ~exist(preTrainedZipFile,"file")
disp("Downloading pretrained model (5 MB)...");
component = "lidar";
filename = "data/trainedSqueezeSegV2PandasetNet.zip";
preTrainedZipFile = matlab.internal.examples.downloadSupportFile(component,filename);
end
unzip(preTrainedZipFile,outputFolder);
end
% Load the pretrained network.
outputFolder = fullfile(tempdir,"Pandaset");
load(fullfile(outputFolder,"trainedSqueezeSegV2PandasetNet.mat"),"net");
% Read the point cloud.
%Next we shall change the outputfolder to face towards the data_2
outputFolderNew=fullfile("data_2");
ptCloud = pcread(fullfile(outputFolderNew,"0000000000.pcd"));
%Due to the ptCloud being a different data type
%With the above information in mind (trying to reach 64 in height)
% In order to match with the Expected file format we shall append additional matrices of 0
% in order to subsitute for the lack of clear resolution.
%These additional values should allow the raw pcd file matric to meet the
%resolutions demand
% Since we are only trying to influence the resolution
% (pandaSet Ideal resolution being 64x1856x3)
% and not the actual
% value's representation we will only be adding in the values.
Location = zeros(64, 1856, 3);
%next we shall add in the ptCloud.Location values
Location = [Location, ptCloud.Location];
%Now that we have added in the additional resolution we
% shall now create a new ptCloud variable for replacement.
tempPtCloud = ptCloud;
%next we shall change the Location properties.
tempPtCloud.Location = Location;
%Then we shall utilize the new ptCloud and treat it as the original
ptCloud = tempPtCloud;
% Convert the point cloud to 5-channel image.
im = helperPointCloudToImage(ptCloud);
% Predict the segmentation result.
predictedResult = semanticseg(im,net);
% Display sematic segmentation result on point cloud
% This should now be displaying our pointClouds that we want to add in and
% analyze for our use case.
helperDisplayLabelOverlaidPointCloud(im,predictedResult);
view([39.2 90.0 60])
title("Semantic Segmentation Result on Point Cloud")
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