CoreML-samples

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Programming language: Jupyter Notebook

License: MIT License

Tags: Machine Learning    

README

CoreML-samples

This is the sample code for Core ML using ResNet50 provided by Apple.
ResNet50 can categorize the input image to 1000 pre-trained categories.
What's more, this includes a sample code for coremltools converting keras model to mlmodel.

Source Code for the prediction

guard let image = imageView.image, let ref = image.buffer() else {

        return
}

do {

    // predict
    let output = try model.prediction(image: ref)

    print(output.classLabel)
    print(output.classLabelProbs)

} catch {

    print(error)
}