Giter Club home page Giter Club logo

ios-coreml-mnist's Introduction

iOS-CoreML-MNIST

This is the implementation of Number recognition using Keras-MNIST model on Apple's CoreML Framework.

The app fetches image from your hand writing and perform number recognition in real-time.

Requirements

  • Xcode 9
  • iOS 11
  • For training: Python 2.7 (Keras 2.0.4, TensorFlow 1.1, CoreMLTools 0.4.0)

Usage

To use this app, open iOS-CoreML-MNIST.xcodeproj in Xcode 9 and run it on a device with iOS 11. (You can also use simulator)

Training

If you want to train your own custom model, follow the tutorial given below to create an anaconda environment. Enter the environment and run the following commands in terminal with ./nnet as master directory.

(coreml) $ python train.py
(coreml) $ sudo python convert.py

I also included a jupyter notebook for better understanding the above code. You need to use it with root permissions for mainly converting the keras model to CoreML model. Initialise the jupyter notebook instance with the following command:

(coreml) $ jupyter notebook --allow-root

Tutorial

If you are interested in training your custom MNIST model from scratch, a step-by-step tutorial is available at - Link

Results

These are the results of the app when tested on iPhone 7.

Result 1 Result 1 Result 1 Result 1 Result 1 Result 1 Result 1 Result 1 Result 1 Result 1 Result 1

Author

Sri Raghu Malireddi / @r4ghu

ios-coreml-mnist's People

Contributors

r4ghu avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.