The input images for activations must be of size equal to or greater than [224 224 3].

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aitali hassna 2020-4-5

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https://ww2.mathworks.cn/matlabcentral/answers/515518-the-input-images-for-activations-must-be-of-size-equal-to-or-greater-than-224-224-3

编辑： Sai Bhargav Avula 2020-4-11

采纳的回答： Sai Bhargav Avula

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my code is:

augmentedTrainset=augmentedImageDatastore(imagesize,...
    trainset,'ColorPreprocessing','rgb2gray');
augmentedTestset=augmentedImageDatastore(imagesize,...
    testset,'ColorPreprocessing','rgb2gray');
featureLayer = 'fc1000';
trainingFeatures = activations(net, augmentedTrainset, featureLayer, ...
    'MiniBatchSize', 39, 'OutputAs', 'columns');

[224 224 3] image size

And I take an error as "The input images for activations must be of size equal to or greater than [224 224 3]."

Why I'm taking this error, how can I fix it?

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Geoff Hayes 2020-4-5

aitali - does your test set contain any images that are smaller than 224x224x3?

aitali hassna 2020-4-8

yes the size of all images i test is 224x224x3

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采纳的回答

Sai Bhargav Avula 2020-4-8

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/515518-the-input-images-for-activations-must-be-of-size-equal-to-or-greater-than-224-224-3#answer_424730

编辑：Sai Bhargav Avula 2020-4-11

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Hi,

Is your image [224 224 3] or of different order?

And try the below code once

augmentedTrainset=augmentedImageDatastore(imagesize,...
    trainset);
augmentedTestset=augmentedImageDatastore(imagesize,...
    testset);
featureLayer = 'fc1000';
trainingFeatures = activations(net, augmentedTrainset, featureLayer, ...
    'MiniBatchSize', 39, 'OutputAs', 'columns');

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Sai Bhargav Avula 2020-4-11

The ColorPreprocessing name value can be removed. As all the images already has 3 channels no processing occurs.

aitali hassna 2020-4-11

yes exactly sir that work for me soo but i didn't py attention that i have some image has 1 channel so the fault that i make 'rgb2gray' in place of 'gray2rgb'

thanks sir

for your help

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