why is error happen even I write the exact code for alexnet
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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 comentarios
Walter Roberson
el 13 de Mzo. de 2017
We need to see more of your code.
Also, which MATLAB release are you using?
muhmed omer
el 13 de Mzo. de 2017
Editada: Walter Roberson
el 14 de Mzo. de 2017
Respuestas (3)
Walter Roberson
el 14 de Mzo. de 2017
Editada: Walter Roberson
el 14 de Mzo. de 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));
0 comentarios
Pradeep Punniyakotti
el 24 de Mzo. de 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)
0 comentarios
abdelilah mbarek
el 20 de Mayo de 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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