How can i give a trained model some images as an input ?
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Lukas Sohlbach
il 3 Dic 2017
Commentato: Lukas Sohlbach
il 5 Dic 2017
I trained a model with classification learner to classify fruits. Now i want to test my model. How can i give the model some images as an input ?
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Mukul Rao
il 5 Dic 2017
Hello, in order to use the trained model to predict new data, you will first have to export the trained model to the workspace. You can click on the "Export Model" drop-down in the Classification Learner App, and select the first option. Once you have the trained model in the MATLAB workspace, you can call its "predict" method and supply new image data to make predictions.
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Mukul Rao
il 5 Dic 2017
Hi Lukas, yes that makes sense. You might want to take a look at this example that demonstrates the workflow. Using the bag of features, you will have to create an "imageCategoryClassifierObject" with the "trainImageCategoryClassifier" function. You can call the "predict" method on the classifier object and plug in the the new image data set as the input without having to convert it to a table. I believe you might have referred the predict method for a different classifier class in the documentation.
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