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This project forked from taji-taji/image_classifier_sample

0.0 2.0 0.0 115.95 MB

KerasとCoreMLを用いて、iOSアプリに機械学習(画像分類)を取り入れるサンプルです。

Home Page: https://www.udemy.com/ioskerascoreml/learn/v4/overview

Jupyter Notebook 99.54% Swift 0.46%

image_classifier_sample's Introduction

image_classifier_sample

準備

▼ Homebrewのインストール

https://brew.sh/index_ja.html

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

▼ pyenvのインストール

brew update
brew install pyenv
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
source ~/.bashrc

▼ anacondaのインストール

pyenv install --list
pyenv install anaconda2-4.4.0
pyenv versions

▼ 仮想環境を設定

# condaコマンドを使うので、一旦globalのversionsをanacondaに
pyenv global anaconda2-4.4.0
conda create -n fruits-classify anaconda
# 必要に応じてglobalの環境を戻す
# pyenv global system

cd /your/workspace
pyenv local anaconda2-4.4.0/envs/fruits-classify

▼ Keras, Tensorflow, CoreMLToolsのインストール

# pip install tensorflow==1.1.0
# pip install keras==2.0.4
# pip install coremltools==0.4.0
pip install -r requirements.txt

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