# 開発環境構築
## フロントエンドを立ち上げ
NodeJS 16が必要
```bash
cd streamlit_image_annotation_customize/streamlit_image_annotation/Detection
yarn
yarn start
```
`streamlit_image_annotation_customize/__init__.py` で `IS_RELEASE = False` に設定する
## annotation_tool コーロがローカル「streamlit_image_annotation_customize」ライブラリをインストールする
既存のライブラリを削除
```
pip uninstall streamlit_image_annotation_customize
```
streamlit_image_annotation_customizeのコードフォルダー(setup.pyファイルがあるフォルダー)で下記のコマンドで実行
```
pip install -e .
```
これでannotation_toolで利用できるようになり、フロントエンドの修正をしたら、すぐに反映される
# pypiに公開
## ~/.pypirc を下記の内容で作成する (１回のみ)
```
[pypi]
username = __token__
password = ***
```
## frontendビルド
```bash
cd streamlit_image_annotation_customize/Detection/frontend
yarn build
```
and set `IS_RELEASE = True` in `streamlit_image_annotation_customize/__init__.py`.
and `setup.py`で公開バージョン番号を設定 `version="xx.xx.xx" `
## make wheel
```bash
python setup.py sdist
python setup.py sdist bdist_wheel
```
## upload
```bash
twine upload dist/*
```
## 利用
```bash
pip install streamlit_image_annotation_customize
```
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