基于coreML有趣的machine learning应用

1.Real-Time Semantic Segmentation in Mobile device
This project is an example project of semantic segmentation for mobile real-time app.
The goal of this project is to detect hair segments with reasonable accuracy and speed in mobile device.

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

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CoreML StyleTransfer-iOS
This is a collection for style transfer in iOS.(CoreML)
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Fast Style Transfer, CoreML, TensorFlow
3.CoreML-in-ARKit
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic template for an ARKit project to use CoreML.
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4.FaceRecognition in ARKit
This is a simple showcase project, that detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
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5.Faces Vision Demo
iOS11 demo application for age and gender classification of facial images using Vision and CoreML.
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6.Show And Tell
看图说话-----描述图片
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7.Vocalization sign language
手语识别
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8.waifu2x on iOS
增加图像分辨率
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9.Sentiment Polarity CoreML Demo
通过文字分析情绪
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9.HED-CoreML
Holistically-Nested Edge Detection (HED) using CoreML and Swift
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10.MLMOJI
手绘表情
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11.ShapeDetector with Keras and CoreML
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