why is error happen even I write the exact code for alexnet

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muhmed omer
muhmed omer am 13 Mär. 2017
Error using SeriesNetwork/predict (line 149)
For an image input layer, the input data for predict must a single image, a 4D array of images, or an
imageDatastore with the correct size.
Error in SeriesNetwork/classify (line 225)
scores = this.predict( X, varargin{:} );
Error in amjh (line 10)
  2 Kommentare
Walter Roberson
Walter Roberson am 13 Mär. 2017
We need to see more of your code.
Also, which MATLAB release are you using?
muhmed omer
muhmed omer am 13 Mär. 2017
Bearbeitet: Walter Roberson am 14 Mär. 2017
clear all,close,clc
camera=webcam;
net= alexnet;
while true
picture=camera.snapshot;
picture= imresize(picture,[277,277]);
lable=classify(net,picture);
image(picture);
title(char,(lable));
drawnow;
end
and I am using matlab 2016b

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Antworten (3)

Walter Roberson
Walter Roberson am 14 Mär. 2017
Bearbeitet: Walter Roberson am 14 Mär. 2017
Change
picture= imresize(picture,[277,277]);
to
picture= imresize(picture,[227,227]);
That gets me past that point. I run out of GPU memory eventually.
Also you need to change to
title(char(lable));

Pradeep Punniyakotti
Pradeep Punniyakotti am 24 Mär. 2018
To process color images in AlexNet, the input image size has to be 227 x 227 x 3.
227 x 227 indicates the height and width of the image and 3 represents the RGB intensities.
Resize your existing image using the imresize command.
To view the input layer size of AlexNet, use the command variable.Layers(1)

abdelilah mbarek
abdelilah mbarek am 20 Mai 2018
Hi; in alexNet you should resize or images. you can call functions that you create it in file resizeFunction.m for example:
function I = resizeFunction(filename)
I = imread(filename);
I = imresize(I, [227 227]);
if you are using imageDatastore:
images= imageDatastore();
use this call after:
images.ReadFcn = @resizeFunction;

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