Search Results for coreml

VKSentimentAnalysis screenshot

VKSentimentAnalysis

This project is a demo on using CoreML framework for sentiment analysis of text. .mlmodel was developed from Scikit-learn Pipeline using coremltools python package. More details here : https://developer.apple.com/documentation/coreml/converting_trained_models_to_core_ml

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NLPSwift screenshot

NLPSwift

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

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StyleArts screenshot

StyleArts

Style Art is a library which process images using COREML with a set of pre trained machine learning models and convert them to Art style.

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FacialContour screenshot

FacialContour

The facial detection API allows us to not only detect faces & facial features but also check those faces for particular properties such as if a smile is present or eyes are open etc. This is a simple app that recognizes a face in a photo and highlights it with a box. Also, it captures facial features like eyes, nose, lips, ears etc. All written i Swift4.

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CaffeToCoreML screenshot

CaffeToCoreML

There are a lot of tutorials/ open source projects on how to use Vision and CoreML frameworks for Object Detection in real world using iOS apps using .mlmodels given by Apple. But seldom in reality, do we get a .mlmodel available suiting our use case. Here, I took up a Caffe model for the Oxford 102 flower dataset, which was converted to CoreML model using coremltools python package.

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CoreML-samples screenshot

CoreML-samples

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

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iOS-11-by-Examples screenshot

iOS-11-by-Examples

Examples of new iOS 11 APIs

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