画像の学習 (Vision)
Shirates/Visionは機械学習ツール(CreateML)をテスト実行プロセスに統合します。
画像分類のパワーをテストコードで利用できます。
分類器のラベルのディレクトリにテンプレート画像を配置してください。
DefaultClassifier
DefaultClassifier テンプレートマッチング用の画像分類器です。
画像のディレクトリの名前がラベルに対応します。
ラベルのディレクトリには1つ以上の画像ファイルを配置します。基本的には1つのラベルに対して1つの画像を用意すれば十分です。
ラベル名は任意ですが、[ニックネーム]のような表記を推奨します。
CheckStateClassifier
CheckStateClassifierはトグル型のウィジェットの状態用の分類器です。この分類器は2つのラベル ([ON]と[OFF])のみを持ちます。
上記の例ではラジオボタンとスイッチがサポートされます。
チェックボックスをサポートしたい場合は[ON]/[OFF]のディレクトリに画像を追加し学習を実行してください。
学習の実行
明示的に学習を実行したい場合は
CreateMlExecute (src/test/kotlin/batch/CreateMLExecute.kt)を右クリックしDebug 'CreateMLExecute' を選択します。
注意
学習を明示的に実行する必要はありません。必要な場合はテストを開始した際に学習が実行されます。
コンソール出力
"/Applications/IntelliJ IDEA CE.app/Contents/jbr/Contents/Home/bin/java" -agentlib:jdwp=transport=dt_socket,address=127.0.0.1:57698,suspend=y,server=n -javaagent:/Users/wave1008/Library/Caches/JetBrains/IdeaIC2024.3/captureAgent/debugger-agent.jar=file:/private/var/folders/8k/zxnhqvmn5ps_4nlbqp_bwpww0000gp/T/capture.props -Dkotlinx.coroutines.debug.enable.creation.stack.trace=false -Ddebugger.agent.enable.coroutines=true -Dkotlinx.coroutines.debug.enable.flows.stack.trace=true -Dkotlinx.coroutines.debug.enable.mutable.state.flows.stack.trace=true -Dfile.encoding=UTF-8 -Dsun.stdout.encoding=UTF-8 -Dsun.stderr.encoding=UTF-8 -classpath 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IDEA CE.app/Contents/lib/idea_rt.jar task.createml.CreateMLExecute
Connected to the target VM, address: '127.0.0.1:57698', transport: 'socket'
Copying jar content createml/MLImageClassifier.swift to /Users/wave1008/Downloads/TestResults/2025-02-07_015200
Copying jar content createml/MLImageClassifier.swift to /Users/wave1008/Downloads/TestResults/2025-02-07_015200
lineNo [elapsedTime] logDateTime {testCaseId} macroDepth macroName [logType] timeDiff mode (group) message
1 [00:00:00] 2025/02/07 01:52:00.381 {} 0 - [info] +0 C () Starting leaning. [CheckStateClassifier]
2 [00:00:03] 2025/02/07 01:52:03.604 {} 0 - [info] +3223 C () Learning completed. (in 3.196 sec)
["/Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/CheckStateClassifier/MLImageClassifier.swift", "/Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/CheckStateClassifier", "-noise", "-blur"]
----------------------------------
dataSourceName: CheckStateClassifier
dataSourcePath: file:///Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/CheckStateClassifier/
options: ["-noise", "-blur"]
featureExtractor: Image Feature Print V2
----------------------------------
Number of examples: 16
Number of classes: 2
Accuracy: 100.00%
******CONFUSION MATRIX******
----------------------------------
True\Pred [OFF] [ON]
[OFF] 8 0
[ON] 0 8
******PRECISION RECALL******
----------------------------------
Class Precision(%) Recall(%)
[OFF] 100.00 100.00
[ON] 100.00 100.00
Model saved to /Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/CheckStateClassifier/CheckStateClassifier.mlmodel
3 [00:00:03] 2025/02/07 01:52:03.612 {} 0 - [info] +8 C () [learning [CheckStateClassifier]] in 3.478 sec
4 [00:00:03] 2025/02/07 01:52:03.613 {} 0 - [info] +1 C () Starting leaning. [DefaultClassifier]
5 [00:00:06] 2025/02/07 01:52:06.439 {} 0 - [info] +2826 C () Learning completed. (in 2.826 sec)
["/Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/DefaultClassifier/MLImageClassifier.swift", "/Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/DefaultClassifier", "-noise", "-blur"]
----------------------------------
dataSourceName: DefaultClassifier
dataSourcePath: file:///Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/DefaultClassifier/
options: ["-noise", "-blur"]
featureExtractor: Image Feature Print V2
----------------------------------
Number of examples: 33
Number of classes: 32
Accuracy: 100.00%
******CONFUSION MATRIX******
**** (upperleft 20-by-20) ****
----------------------------------
True\Pred @a[Androidファイルアプリ][サイズの大きいファイルボタン] @a[Androidファイルアプリ][ドキュメントボタン] @a[Androidファイルアプリ][今週ボタン] @a[Androidファイルアプリ][動画ボタン] @a[Androidファイルアプリ][画像ボタン] @a[Androidファイルアプリ][音声ボタン] @a[Android設定アプリ][Android設定トップ画面][アプリアイコン] @a[Android設定アプリ][Android設定トップ画面][システムアイコン] @a[Android設定アプリ][Android設定トップ画面][ストレージアイコン] @a[Android設定アプリ][Android設定トップ画面][ディスプレイアイコン] @a[Android設定アプリ][Android設定トップ画面][ネットワークとインターネットアイコン] @a[Android設定アプリ][Android設定トップ画面][バッテリーアイコン] @a[Android設定アプリ][Android設定トップ画面][位置情報アイコン] @a[Android設定アプリ][Android設定トップ画面][接続設定アイコン] @a[Android設定アプリ][Android設定トップ画面][音とバイブレーションアイコン] @a[Android設定アプリ][ネットワークとインターネット画面][SIMアイコン] @a[Android設定アプリ][ネットワークとインターネット画面][VPNアイコン] @a[Android設定アプリ][ネットワークとインターネット画面][アクセスポイントとテザリングアイコン] @a[Android設定アプリ][ネットワークとインターネット画面][インターネットアイコン] @a[Android設定アプリ][ネットワークとインターネット画面][データセーバーアイコン]
@a[Androidファイルアプリ][サイズの大きいファイルボタン] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Androidファイルアプリ][ドキュメントボタン] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Androidファイルアプリ][今週ボタン] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Androidファイルアプリ][動画ボタン] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Androidファイルアプリ][画像ボタン] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Androidファイルアプリ][音声ボタン] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][アプリアイコン] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][システムアイコン] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][ストレージアイコン] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][ディスプレイアイコン] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][ネットワークとインターネットアイコン] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][バッテリーアイコン] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][位置情報アイコン] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][接続設定アイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
@a[Android設定アプリ][Android設定トップ画面][音とバイブレーションアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
@a[Android設定アプリ][ネットワークとインターネット画面][SIMアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
@a[Android設定アプリ][ネットワークとインターネット画面][VPNアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
@a[Android設定アプリ][ネットワークとインターネット画面][アクセスポイントとテザリングアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
@a[Android設定アプリ][ネットワークとインターネット画面][インターネットアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
@a[Android設定アプリ][ネットワークとインターネット画面][データセーバーアイコン] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
******PRECISION RECALL******
----------------------------------
Class Precision(%) Recall(%)
@a[Androidファイルアプリ][サイズの大きいファイルボタン] 100.00 100.00
@a[Androidファイルアプリ][ドキュメントボタン] 100.00 100.00
@a[Androidファイルアプリ][今週ボタン] 100.00 100.00
@a[Androidファイルアプリ][動画ボタン] 100.00 100.00
@a[Androidファイルアプリ][画像ボタン] 100.00 100.00
@a[Androidファイルアプリ][音声ボタン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][アプリアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][システムアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][ストレージアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][ディスプレイアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][ネットワークとインターネットアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][バッテリーアイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][位置情報アイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][接続設定アイコン] 100.00 100.00
@a[Android設定アプリ][Android設定トップ画面][音とバイブレーションアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][SIMアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][VPNアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][アクセスポイントとテザリングアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][インターネットアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][データセーバーアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][機内モードアイコン] 100.00 100.00
@a[Android設定アプリ][ネットワークとインターネット画面][通話とSMSアイコン] 100.00 100.00
@a[misc][←] 100.00 100.00
@a[misc][ラジオボタン(OFF)] 100.00 100.00
@a[misc][ラジオボタン(ON)] 100.00 100.00
@i[iOS設定アプリ][Apple IntelligenceとSiriアイコン] 100.00 100.00
@i[iOS設定アプリ][アクションボタンアイコン] 100.00 100.00
@i[iOS設定アプリ][アクセシビリティアイコン] 100.00 100.00
@i[iOS設定アプリ][カメラアイコン] 100.00 100.00
@i[iOS設定アプリ][スクリーンタイムアイコン] 100.00 100.00
@i[iOS設定アプリ][デベロッパアイコン] 100.00 100.00
@i[iOS設定アプリ][一般アイコン] 100.00 100.00
Model saved to /Users/wave1008/github/ldi-github/shirates-core-vision-samples_ja/build/vision/classifiers/DefaultClassifier/DefaultClassifier.mlmodel
6 [00:00:06] 2025/02/07 01:52:06.443 {} 0 - [info] +4 C () [learning [DefaultClassifier]] in 2.830 sec
Disconnected from the target VM, address: '127.0.0.1:57698', transport: 'socket'
Process finished with exit code 0
build/vision/classifiers
結果のファイルはbuild/vision/classifiersへ出力されます。
CheckStateClassifier.mlmodel
出力されたmlmodelファイルです。
createML.log
コンソールのログです（上記のコンソール出力を参照）。
MLImageClassifier.swift
実行されるスクリプトです。
import CreateML
import Foundation
let arguments = CommandLine.arguments
print(arguments)
if arguments.count < 2 {
print("path to data source is required")
exit(1)
}
let options = arguments.filter { $0.starts(with: "-") }
var revision = 2
if let opt = options.first(where: { $0.starts(with: "-fp:")}) {
if let r = Int(opt.components(separatedBy: [":","="]).last!) {
revision = r
}
}
let dataSourcePath = arguments[1]
let dataSourceURL = URL(fileURLWithPath: dataSourcePath)
let dataSourceName = dataSourceURL.lastPathComponent
print("----------------------------------")
print("dataSourceName: \(dataSourceName)")
print("dataSourcePath: \(dataSourceURL)")
print("options: \(options)")
print("featureExtractor: Image Feature Print V\(revision)")
// data source URLs
let trainingDataURL = dataSourceURL.appending(path: "training")
let testingDataURL = dataSourceURL.appending(path: "test")
// data sources
let trainingData = MLImageClassifier.DataSource.labeledDirectories(at: trainingDataURL)
let testingData = MLImageClassifier.DataSource.labeledDirectories(at: testingDataURL)
// model parameters
var augmentation = MLImageClassifier.ImageAugmentationOptions()
if options.contains("-noise") {
augmentation.insert(.noise)
}
if options.contains("-blur") {
augmentation.insert(.blur)
}
if options.contains("-crop") {
augmentation.insert(.crop)
}
if options.contains("-exposure") {
augmentation.insert(.exposure)
}
if options.contains("-flip") {
augmentation.insert(.flip)
}
if options.contains("-rotation") {
augmentation.insert(.rotation)
}
let modelParameters = MLImageClassifier.ModelParameters(
validation: .split(strategy: .automatic),
augmentation: augmentation,
algorithm: .transferLearning(
featureExtractor: .scenePrint(revision: revision),
classifier: .logisticRegressor
)
)
// training
let classifier = try MLImageClassifier(trainingData: trainingData, parameters: modelParameters)
// evaluation
let evaluation = classifier.evaluation(on: testingData)
print("\(evaluation)")
// save
var parent = dataSourceURL
parent.deleteLastPathComponent()
parent.append(path: "models")
let modelURL = URL(fileURLWithPath: "\(dataSourcePath)/\(dataSourceName).mlmodel")
try classifier.write(to: modelURL)
print("Model saved to \(modelURL.path)")