Error using imread>get_full_filename (line 566) File "gg(21).jpg" does not exist. Error in imread (line 375) fullname = get_full_f​ilename(fi​lename);

I AM getting error while excution and images are not loading to enter the input

%% BRAIN TUMOR CLASSIFICATION USING CNN BY HOG AND LBP FEATURES 
clc 
clear all
close all 
imds = imageDatastore('C:\Users\new\Testing',... 
    'IncludeSubfolders',true,...  
    'LabelSource','foldernames'); 
[Data,testData]= splitEachLabel(imds,0.8,'randomize'); 
% Training files  
[trainData] =Data; 
layers = [
    imageInputLayer([200 128 3],'Name','input')%SIZE OF IMAGE 200* 128 
    convolution2dLayer(5,16,'Padding','same','Name','conv_1') % ZERO PADDING 
    batchNormalizationLayer('Name','BN_1') % BATCH NORMLIZATION LAYER 
    reluLayer('Name','relu_1') 
    convolution2dLayer(3,32,'Padding','same','Stride',2,'Name','conv_2') 
    batchNormalizationLayer('Name','BN_2') 
    reluLayer('Name','relu_2') 
    convolution2dLayer(3,32,'Padding','same','Name','conv_3') 
    batchNormalizationLayer('Name','BN_3') 
    reluLayer('Name','relu_3') 
    convolution2dLayer(3,32,'Padding','same','Name','conv_4');
    batchNormalizationLayer('Name','BN_4') 
    reluLayer('Name','relu_4') 
    %      
    additionLayer(5,'Name','add') 
    averagePooling2dLayer(4,'Stride',3,'Name','avpool') 
    fullyConnectedLayer(4,'Name','fc') 
    softmaxLayer('Name','softmax') 
    classificationLayer('Name','classOutput')];
% Create a layer graph from the layer array. layerGraph connects all the layers in layers sequentially. Plot the layer graph. 
lgraph = layerGraph(layers); 
figure 
plot(lgraph) 
% Create the 1-by-1 convolutional layer and add it to the layer graph. Specify the number of convolutional filters and the stride so that the activation size matches the activation size of the 'relu_3' layer. This arrangement enables the addition layer to add the outputs of the 'skipConv' and 'relu_3' layers.  
skipConv = convolution2dLayer(2,32,'Stride',2,'Name','skipConv'); 
lgraph = addLayers(lgraph,skipConv); 
figure 
plot(lgraph) 
% Create the shortcut connection from the 'relu_1' layer to the 'add' layer. Because you specified two as the number of inputs to the addition layer when you created it, the layer has two inputs named 'in1' and 'in2'. The 'relu_3' layer is already connected to the 'in1' input. Connect the 'relu_1' layer to the 'skipConv' layer and the 'skipConv' layer to the 'in2' input of the 'add' layer. The addition layer now sums the outputs of the 'relu_3' and 'skipConv' layers. To check that the layers are connected correctly, plot the layer graph. 
lgraph = connectLayers(lgraph,'relu_1','skipConv'); 
%lgraph = connectLayers(lgraph,'skipConv','add/in2');
lgraph = connectLayers(lgraph,'relu_2','add/in2'); 
lgraph = connectLayers(lgraph,'relu_3','add/in3'); 
lgraph = connectLayers(lgraph,'relu_4','add/in4'); 
lgraph = connectLayers(lgraph,'skipConv','add/in5'); 
figure 
plot(lgraph); 
options = trainingOptions('adam', ... 
    'MiniBatchSize',128, ... 
    'MaxEpochs',1, ... %% was 6 
    'ValidationFrequency',5, ... 
    'InitialLearnRate',1e-4,'Plots','training-progress'); 
%% network training  
[convnet, traininfo] = trainNetwork(trainData,lgraph,options); 
% INPUT IMAGE 
inp = input('Enter input :'); 
I = imread(inp);   
figure,imshow(I)
%% LBP FEATURES EXTRACTION 
[cameraman_LBP] = LocalBinaryPattern (I); 
figure 
subplot(121),imshow(I, []), title('INPUT IMAGE') 
subplot(122),imshow(cameraman_LBP, []), title('LBP FEATURES') 
%% HOG FEATURES EXTRACTION 
[featureVector,hogVisualization] = extractHOGFeatures(I); 
figure, 
imshow(I);title('INPUT IMAGE')
hold on; 
plot(hogVisualization); 
[hog1, visualization] = extractHOGFeatures(I,'CellSize',[64 64]); 
figure, 
subplot(1,2,1); 
imshow(I),title('INPUT IMAGE'); 
subplot(1,2,2); 
plot(visualization); 
imshow(I),title('HOG FEATURES IMAGE'); 
figure; 
hog = hog_feature_vector(I); 
%% Done classification  
class = classify(convnet,I); 
msgbox(char(class)) 
%% 
load HOG.mat;  
% Perform Convolution Neural Network 
opts.tf        = 1; 
opts.ho        = 0.3; 
opts.H         = 10; 
opts.Maxepochs = 50; 
NN = jnn('ffnn',feat,label,opts);  
% Accuracy 
Accuracy= NN.acc; 
% Confusion matrix 
Confmat= NN.con;
%% Convolution Neural Network (CNN) with LBP Features 
% LBP Features  
load LBP.mat;  
% Perform Convolution Neural Network 
opts.tf        = 2; 
opts.kfold     = 10; 
opts.H         = [10, 10, 10]; 
opts.Maxepochs = 50; 
NN = jnn('nn',feat,label,opts);  
% Accuracy 
accuracy = NN.acc; 
% Confusion matrix 
confmat  = NN.con;  
msgbox("Testing of brain tumor classification using Convolution Neural Network (HOG vs LBP)successfully completed");

[Charan sai kumar]

These my error lines are

Error using imread>get_full_filename (line 566)

File "gg(21).jpg" does not exist.

Error in imread (line 375)

fullname = get_full_filename(filename);

Error in Untitled2 (line 58)

I = imread(inp);

[Cris LaPierre]

Is the image in your current folder? Or in a folder on your MATLAB Path?

If not, you need to include the path to the image along with the filename.

[Charan sai kumar]

image is in a folder in my matlab path only issue i can see is that images are not loading

[Cris LaPierre]

If the folder is already on your path, then double check that the filename is spelled correctly. Is the actual file extension JPG or jpeg?

Are you on a Linux system?

[Charan sai kumar]

no i not an linux system and images are of JPG format

Answer 1

[Walter Roberson]

imds = imageDatastore('C:\Users\new\Testing',... 
    'IncludeSubfolders',true,...  
    'LabelSource','foldernames'); 

The data store includes subfolders

inp = input('Enter input :'); 
I = imread(inp);   

What is being entered is a plain file name, relative to the current directory . It is not going to be looked for under C:\Users\new\Testing -- and if it were to be looked for there, there would be the problem that files by the same name might exist in any of several different subdirectories of C:\Users\new\Testing

The user needs to enter a filename that exists in the current directory, or the user needs to enter a fully-qualified filename.

Alternately, it is possible to search the imds for the file... though there is the risk that the file appears multiple times.

[Charan sai kumar]

so what i need to do then?? shall i need to enter the subfolder as well is it??

[Walter Roberson]

You have to enter a fully-qualified file name.

Note: you may find it easier to use the 's' option of input() . And you might find it easier to use uigetfile()

[Charan sai kumar]

i have entered the fully qualified file name only

can u tell me or pls send me the format by rewriting a code if possible

[Walter Roberson]

Replace

inp = input('Enter input :'); 

with

[filename, pathname] = uigetfile('*.*', 'Select a file');
if isnumeric(filename)
    error('User canceled file selection');
end
inp = fullfile(pathname, filename);

[Charan sai kumar]

Sir, Thnak you so much i got it correct these time

love u alot

Answer 2

[Sulaymon Eshkabilov]

You can add the path to the directory where your images are located using addpath(), e.g.:

addpath('C:\Users\new\Testing')

[Charan sai kumar]

where to add these path in code or some else can u explain it? and the images are not loading to enter the input as well

[Sulaymon Eshkabilov]

addpath() should come at the start of your code:

clc 
clear all
close all 
addpath('C:\Users\new\Testing')
...

[Charan sai kumar]

ya i have added the path but still it appears the same images are not loading to enter the input

[Charan sai kumar]

[Charan sai kumar]

images are in white background i couldnt enter the input as well

[DGM]

The filename you entered does not have spaces.

[Charan sai kumar]

can u tell me at which line i dont have spaces so i can gt more clarity

testing is my folder and i have images in them and they i dont have any spaces if their i have to change tell me how to do.

if it is in the code pl mention me the line so i can be easy to understand for me

[DGM]

It's not on any line. It was manually entered via an interactive prompt. This is an example of why using interactive prompts is a great way to collect typos that often leave no lasting evidence when you have to go back and figure out where a bug originated. The only reason I noticed this is because the error message indicates what was entered at the prompt.