MATLAB: I am getting error while predicting image?

image analysisimage predictionMATLAB

img=imread('4.jpg');

>> imshow(img)

>> net=alexnet;

>> predict=classify(net,img)

Error using DAGNetwork/calculatePredict>predictBatch (line 151)

Incorrect input size. The input images must have a size of [227 227 3].

Error in DAGNetwork/calculatePredict (line 17)

Y = predictBatch( …

Error in DAGNetwork/classify (line 134)

scores = this.calculatePredict( …

Error in SeriesNetwork/classify (line 502)

[labels, scores] = this.UnderlyingDAGNetwork.classify(X, varargin{:});

Best Answer

Hi,

The issue might be due input image resolution. alexnet expects an input of size 227*227*3. The image you are passing may not be of the same size. Try resizing the image using imresize function to 227*227*3.

Hope this helps

Related Solutions

MATLAB: Why do I get the error Undefined function or variable ‘net’. Error in testalexnet1 (line 16) trainingFeatures = activations(net,trainingImages,layer);

Considering the name of your file testalexnet1 it appears that you missed

net = alexnet;

https://www.mathworks.com/help/nnet/examples/visualize-activations-of-a-convolutional-neural-network.html

MATLAB: Convert Image Classification Network into Regression Network using ResNet18

Hi Kenneth,

I understand that you want to convert the pretrained resent-18 to regression network.

While training the network, we must pass the Layer graph or an array of layers to our network. I am attaching a code snippet that does the same with resnet-18 network and modifies the network to be used as a regression network.

net = resnet18;
lgraph = layerGraph(net);
 
numClasses = 1;
newLearnableLayer = fullyConnectedLayer(numClasses, ...
'Name','new_fc', ...
'WeightLearnRateFactor',10, ...
'BiasLearnRateFactor',10);
regress = regressionLayer('Name', 'new_reg');
 
lgraph = replaceLayer(lgraph,"fc1000",newLearnableLayer);
lgraph = removeLayers(lgraph, "ClassificationLayer_predictions");
lgraph = replaceLayer(lgraph,"prob",regress);

Note that, the input to the network is same as the pretrained resnet-18, i.e., images with shape (224, 224, 3).

For more information, see https://www.mathworks.com/help/deeplearning/ug/convert-classification-network-into-regression-network.html

Hope this helps.

Best Answer

Related Solutions

MATLAB: Why do I get the error Undefined function or variable ‘net’. Error in testalexnet1 (line 16) trainingFeatures = activation​s(net,trai​ningImages​,layer);

MATLAB: Convert Image Classification Network into Regression Network using ResNet18

Related Question

MATLAB: Why do I get the error Undefined function or variable ‘net’. Error in testalexnet1 (line 16) trainingFeatures = activations(net,trainingImages,layer);