Search Results for coreml
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
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!
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.
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.
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.
CoreML-samples
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
