Testbed of AI Systems Quality Management

Last update: Nov 27, 2021

Overview

qunomon

Description

A testbed for testing and managing AI system qualities.

Demo

Sorry. Not deployment public server at alpha version.

Requirement

Installation prerequisites

Support os is Windows10 Pro and macOS.

Windows10 Pro 1909 later
macOS v10.15 later

Installation

docker desktop 2.3.0.3 or later

Usage

1.launch

Execute the following command as root of this repository.

docker-compose up

2.access web browser

http://127.0.0.1:8888/

Development for windows

Installation

1.PackageManager

Launch powershell with administrator permission.

powershell

Set-ExecutionPolicy Bypass -Scope Process -Force; iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))

2.Python

powershell
```
cinst python --version=3.6.8 -y
```

Setup python virtual environment for Backend

1.go to the source you checked out and create a virtual environment

launch command prompt

cd {checkout_dir}\src\backend
python -m venv venv

2.virtual environment activate

.\venv\Scripts\activate

3.install python package

pip install -r requirements_dev.txt

Setup python virtual environment for IP

1.go to the source you checked out and create a virtual environment

launch command prompt

cd {checkout_dir}\src\integration-provider
python -m venv venv

2.virtual environment activate

.\venv\Scripts\activate

3.install python package

pip install -r constraints.txt

launch by without container

1.execute bat file

start_up.bat

2.checking web browser

http://127.0.0.1:8080/

3.checking Backend

powershell

curl http://127.0.0.1:5000/qai-testbed/api/0.0.1/health-check

4.checking IP

powershell

curl http://127.0.0.1:6000/qai-ip/api/0.0.1/health-check

Contribution

Bug reports and pull requests are welcome on GitHub at aistairc/qunomon.

Disclaimer

qunomon is an OSS and alpha version. so qunomon may cause damage to your system and data. You agree to use it at your own risk.

License

Apache License Version 2.0

Author

AIST

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Releases(0.1.15)

0.1.15(Jun 25, 2021)

Added

なし

Fixed

#1424 AITパラメータ見直し（eval_find_ca_error_0.1）
Source code(tar.gz)
Source code(zip)
0.1.14(Jun 8, 2021)

Added

#1462 SHAP AITの実装とテスト alyz_regression_shap_0.1 #1485 SHAP AIT plots_scatterの出力figにタイトル（カラムを対象）追加

Fixed

#1492 Dependabot alerts対応（urllib3） #1476 Dependabot alerts対応（TensorFlow2.4系から変更） #1465 AITパラメータ見直し（eval_adversarial_example_acc_test_tf2.3_0.1）
Source code(tar.gz)
Source code(zip)
0.1.13(May 26, 2021)

Added

#1434 クライテリア範囲外でTDを作成できないようにする(バックエンド) #1435 クライテリア範囲外でTDを作成できないようにする(フロントエンド) #1436 パラメータ範囲外でTDを作成できないようにする(フロントエンド) #1437 パラメータ範囲外でTDを作成できないようにする(バックエンド) #1438 インベントリチェック　警告ポップアップを表示する（フロントエンド） #1440 インベントリチェック　ファイルフォーマットチェック(一般)

Fixed

#1423 AITパラメータ見直し（eval_dnn_coverage_tf1.13_0.1） #1425 AITパラメータ見直し（eval_mnist_acc_tf2.3_0.1） #1454 DependencyAlert解消(5/12)
Source code(tar.gz)
Source code(zip)
0.1.12(May 12, 2021)

Added

#1416 インベントリチェック　ファイル存在チェック #1421 インベントリチェック　TD実行時ハッシュチェック

Fixed

#1362 #1213の変更部分をテストコードに反映させる #1403 AIT発生エラー見直し AIT-SDK入れ替え #1432 GET TestRunnerでエンコードエラーログが出力される #1442 docker起動でインベントリ登録ができない #1447 DependencyAlert解消(5/10) #1452 pipインストールモジュールのバージョンを固定化する
Source code(tar.gz)
Source code(zip)
0.1.11(Apr 28, 2021)

Added

#1370 AITの更新 (AITのパラメータ上限下限を表示する) #1374 ait-installerの更新 (AITのパラメータ上限下限を表示する)

Fixed

#1402 AIT発生エラー見直し AIT-SDK修正 #1404 AIT発生エラー見直し IP修正 #1405 AIT発生エラー見直しバックエンド修正 #1406 AIT発生エラー見直しフロントエンド修正 #1416 AIT発生エラー見直し AIT-SDK修正（出力先フォルダがない場合に対応）
Source code(tar.gz)
Source code(zip)
0.1.10(Apr 14, 2021)

Added

#1349 [TF3]MLComponent一覧画面でMLComponentを削除できるようにしたい

Fixed

#1385 DependencyAlert解消(3/26) #1391 DependencyAlert解消(4/2) #1361 #1335 により変更された部分をWEB API仕様書に反映をさせる
Source code(tar.gz)
Source code(zip)
0.1.9(Mar 26, 2021)

Added

#1335 AITのパラメータ上限下限を表示する #144 TestDescription一覧画面の日付指定をカレンダーを用いて行う機能の実装

Fixed

なし
Source code(tar.gz)
Source code(zip)
0.1.8(Mar 12, 2021)

Added

#1212 TD詳細画面-グラフを複数選択して追加したい #1340 TD詳細画面でairflowのログダウンロードURLリンクを表示する #1342 グラフ複数選択時に未登録のものだけを登録したい #1347 [TF3]TD一覧画面でTDを削除できるようにしたい

Fixed

#1331 何も選択していない状態で「add to Report」ボタンを押下できてしまう #1337 活性化判定をcheckAddBTNActiveメソッドで対応させるよう処理を統一 #1345 [TD詳細画面]追加グラフの数チェック不整合 #1348 [TD編集画面1]TDの再編集時にTD名のテキストボックスが入力1文字ごとにフォーカスが外れる #1336 docker-compose実行時に、ait-installerが実行されてない
Source code(tar.gz)
Source code(zip)
0.1.7(Feb 26, 2021)

Added

なし

Fixed

#1271 テーブル表示の数値部分が「0」と「それ以外」でアライメントを揃える
Source code(tar.gz)
Source code(zip)
0.1.6(Feb 12, 2021)

Added

#1200 AIF360の指標を取り込んだAITを作成する #1211 TD詳細画面-どのグラフを選択中か分かるようにしたい #1248 ait.manifest.jsonのreport.measuresにminとmaxを書く

Fixed

#1300 jupyter新バージョン3.X以後、AITのset_ait_descriptionにUnicodeEncodeError (漢字、など) #1305 TDでのレポート使用グラフを一つ削除すると、ソートがリセットされる #1312 Dependency alert解消(2/4)
Source code(tar.gz)
Source code(zip)
0.1.5(Jan 29, 2021)

Added

#1199 TDの品質指標に何を入れれば良いか分かりにくい問題を解消する #1213 [サマリ]manifestのresources,downloadsからpathを削除する

Fixed

#1262 eval_bdd100k_aicc_tf2.3のリソース「all_label_accuracy_csv」がタイプ「text」になっている #1272 ローカルにAITイメージがない状態で実行するとairflowでエラーになる #1277 Dependabot alerts解消(2021/1/15)
Source code(tar.gz)
Source code(zip)
0.1.4(Jan 15, 2021)

Added

#1213 manifestのresources,downloadsからpathを削除する

Fixed

#1208 レポートのレーダーチャートが、品質特性2以下だと数量が判別できない #1254 レポートのレーダーチャートの表示範囲が５で固定 #1260 Dependabot alerts解消(2021/1/8)
Source code(tar.gz)
Source code(zip)
0.1.3(Dec 25, 2020)

Added

#1166 qlib新規作成

Fixed

#1183 TestDescriptionの中で大量の画像を扱うと画面が応答しない #1198 フロントエンド誤字修正 #1203 AITでresoucesに大量のデータをセットすると、TestDescription詳細画面やレポート出力が応答しない #1242 measures無しのAITを登録するとQualityDimensionが反映されない
Source code(tar.gz)
Source code(zip)
0.1.2(Dec 10, 2020)

Added

#1171 インベントリの選択方法を改善する #1173 レポートのサマリでTD0件の品質特性は出力対象にしないようにする

Fixed

#1187 レポート出力時に2.1のレーダーチャートの項目名が長すぎると途中で切れる #1184 airflowのdocker buildが失敗する
Source code(tar.gz)
Source code(zip)
0.1.1(Nov 27, 2020)

Added

#1071 確認ダイアログの多言語化対応 #1126 作成したAITをtestbedにdeployするツールが必要

Fixed

#1099 ブラウザバック、リロードでエラーが発生する画面がある #1123 内部品質名称を英語に変更する #1115 2つ以上あるmeasureのうち、一つだけチェックをいれてTDを作成するとエラーが発生する #1125 READMEの記述を修正（qai-testbed → qunomon） #1163 dag配下のフォルダを削除する #1156 docker-airflowのDockerfileの修正 #1157 Github security alert への対応
Source code(tar.gz)
Source code(zip)
0.1.0(Nov 13, 2020)

Source code(tar.gz)
Source code(zip)

Owner

AIST AIRC

GitHub Repository https://aistairc.github.io/qunomon/

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Testbed of AI Systems Quality Management

Related tags

Overview

qunomon

Description

Demo

Requirement

Installation prerequisites

Installation

Usage

1.launch

2.access web browser

Development for windows

Installation

1.PackageManager

2.Python

Setup python virtual environment for Backend

1.go to the source you checked out and create a virtual environment

2.virtual environment activate

3.install python package

Setup python virtual environment for IP

1.go to the source you checked out and create a virtual environment

2.virtual environment activate

3.install python package

launch by without container

1.execute bat file

2.checking web browser

3.checking Backend

4.checking IP

Contribution

Disclaimer

License

Author

You might also like...

Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment (ICCV2021)

Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein GAN", accepted to ACM MM 2021 BNI Track.

[ICCV 2021] Group-aware Contrastive Regression for Action Quality Assessment

NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.

Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021.

Implementation of temporal pooling methods studied in [ICIP'20] A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment

Releases(0.1.15)

0.1.15(Jun 25, 2021)

Added

Fixed

0.1.14(Jun 8, 2021)

Added

Fixed

0.1.13(May 26, 2021)

Added

Fixed

0.1.12(May 12, 2021)

Added

Fixed

0.1.11(Apr 28, 2021)

Added

Fixed

0.1.10(Apr 14, 2021)

Added

Fixed

0.1.9(Mar 26, 2021)

Added

Fixed

0.1.8(Mar 12, 2021)

Added

Fixed

0.1.7(Feb 26, 2021)

Added

Fixed

0.1.6(Feb 12, 2021)

Added

Fixed

0.1.5(Jan 29, 2021)

Added

Fixed

0.1.4(Jan 15, 2021)

Added

Fixed