From ae1170a6532b86e380d4b3b26e87593f80a6708d Mon Sep 17 00:00:00 2001 From: Duy Mai M Date: Fri, 29 Sep 2023 16:09:29 +0700 Subject: [PATCH] implement image segmentation --- example/image_segmentation/.gitignore | 44 ++ example/image_segmentation/.metadata | 33 + example/image_segmentation/README.md | 27 + .../image_segmentation/analysis_options.yaml | 28 + example/image_segmentation/android/.gitignore | 13 + .../android/app/build.gradle | 67 ++ .../android/app/src/debug/AndroidManifest.xml | 7 + .../android/app/src/main/AndroidManifest.xml | 33 + .../image_segmentation/MainActivity.kt | 6 + .../res/drawable-v21/launch_background.xml | 12 + .../main/res/drawable/launch_background.xml | 12 + .../src/main/res/mipmap-hdpi/ic_launcher.png | Bin 0 -> 544 bytes .../src/main/res/mipmap-mdpi/ic_launcher.png | Bin 0 -> 442 bytes .../src/main/res/mipmap-xhdpi/ic_launcher.png | Bin 0 -> 721 bytes .../main/res/mipmap-xxhdpi/ic_launcher.png | Bin 0 -> 1031 bytes 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create mode 100644 example/image_segmentation/ios/Runner/Assets.xcassets/LaunchImage.imageset/README.md create mode 100644 example/image_segmentation/ios/Runner/Base.lproj/LaunchScreen.storyboard create mode 100644 example/image_segmentation/ios/Runner/Base.lproj/Main.storyboard create mode 100644 example/image_segmentation/ios/Runner/Info.plist create mode 100644 example/image_segmentation/ios/Runner/Runner-Bridging-Header.h create mode 100644 example/image_segmentation/ios/RunnerTests/RunnerTests.swift create mode 100644 example/image_segmentation/lib/helper/image_segmentation_helper.dart create mode 100644 example/image_segmentation/lib/helper/isolate_inference.dart create mode 100644 example/image_segmentation/lib/image_utils.dart create mode 100644 example/image_segmentation/lib/main.dart create mode 100644 example/image_segmentation/pubspec.yaml create mode 100755 example/image_segmentation/screenshots/android_screenshot.jpg create mode 100644 example/image_segmentation/screenshots/ios_screenshot.png create mode 100644 example/image_segmentation/scripts/download_models.sh diff --git a/example/image_segmentation/.gitignore b/example/image_segmentation/.gitignore new file mode 100644 index 0000000..24476c5 --- /dev/null +++ b/example/image_segmentation/.gitignore @@ -0,0 +1,44 @@ +# Miscellaneous +*.class +*.log +*.pyc +*.swp +.DS_Store +.atom/ +.buildlog/ +.history +.svn/ +migrate_working_dir/ + +# IntelliJ related +*.iml +*.ipr +*.iws +.idea/ + +# The .vscode folder contains launch configuration and tasks you configure in +# VS Code which you may wish to be included in version control, so this line +# is commented out by default. +#.vscode/ + +# Flutter/Dart/Pub related +**/doc/api/ +**/ios/Flutter/.last_build_id +.dart_tool/ +.flutter-plugins +.flutter-plugins-dependencies +.packages +.pub-cache/ +.pub/ +/build/ + +# Symbolication related +app.*.symbols + +# Obfuscation related +app.*.map.json + +# Android Studio will place build artifacts here +/android/app/debug +/android/app/profile +/android/app/release diff --git a/example/image_segmentation/.metadata b/example/image_segmentation/.metadata new file mode 100644 index 0000000..e9ffe03 --- /dev/null +++ b/example/image_segmentation/.metadata @@ -0,0 +1,33 @@ +# This file tracks properties of this Flutter project. +# Used by Flutter tool to assess capabilities and perform upgrades etc. +# +# This file should be version controlled and should not be manually edited. + +version: + revision: "efbf63d9c66b9f6ec30e9ad4611189aa80003d31" + channel: "stable" + +project_type: app + +# Tracks metadata for the flutter migrate command +migration: + platforms: + - platform: root + create_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + base_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + - platform: android + create_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + base_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + - platform: ios + create_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + base_revision: efbf63d9c66b9f6ec30e9ad4611189aa80003d31 + + # User provided section + + # List of Local paths (relative to this file) that should be + # ignored by the migrate tool. + # + # Files that are not part of the templates will be ignored by default. + unmanaged_files: + - 'lib/main.dart' + - 'ios/Runner.xcodeproj/project.pbxproj' diff --git a/example/image_segmentation/README.md b/example/image_segmentation/README.md new file mode 100644 index 0000000..6ab0cb7 --- /dev/null +++ b/example/image_segmentation/README.md @@ -0,0 +1,27 @@ +# Image Segmentation DeeplabV3 + +| | Android | iOS | Linux | Mac | Windows | Web | +|------|---------|-----|-------|-----|---------|-----| +| live | ✅ | ✅ | | | | | + +This project is a sample of how to perform Image Segmentation using +TensorFlow Lite in Flutter. It includes support for both Android and IOS. + +## Download model and labels + +To build the project, you must first download the Deeplab V3 TensorFlow Lite +model and its corresponding labels. You can do this by +running `sh ./scripts/download_model.sh` from the root folder of the repository. + +## About the sample + +- You can use Flutter-supported IDEs such as Android Studio or Visual Studio. + This project has been tested on Android Studio Flamingo. +- Before building, ensure that you have downloaded the model and the labels by + following a set of instructions. + +## Screenshots +### Android +![Android](screenshots/android_screenshot.jpg) +### IOS +![IOS](screenshots/ios_screenshot.png) diff --git a/example/image_segmentation/analysis_options.yaml b/example/image_segmentation/analysis_options.yaml new file mode 100644 index 0000000..0d29021 --- /dev/null +++ b/example/image_segmentation/analysis_options.yaml @@ -0,0 +1,28 @@ +# This file configures the analyzer, which statically analyzes Dart code to +# check for errors, warnings, and lints. +# +# The issues identified by the analyzer are surfaced in the UI of Dart-enabled +# IDEs (https://dart.dev/tools#ides-and-editors). The analyzer can also be +# invoked from the command line by running `flutter analyze`. + +# The following line activates a set of recommended lints for Flutter apps, +# packages, and plugins designed to encourage good coding practices. +include: package:flutter_lints/flutter.yaml + +linter: + # The lint rules applied to this project can be customized in the + # section below to disable rules from the `package:flutter_lints/flutter.yaml` + # included above or to enable additional rules. A list of all available lints + # and their documentation is published at https://dart.dev/lints. + # + # Instead of disabling a lint rule for the entire project in the + # section below, it can also be suppressed for a single line of code + # or a specific dart file by using the `// ignore: name_of_lint` and + # `// ignore_for_file: name_of_lint` syntax on the line or in the file + # producing the lint. + rules: + # avoid_print: false # Uncomment to disable the `avoid_print` rule + # prefer_single_quotes: true # Uncomment to enable the `prefer_single_quotes` rule + +# Additional information about this file can be found at +# https://dart.dev/guides/language/analysis-options diff --git a/example/image_segmentation/android/.gitignore b/example/image_segmentation/android/.gitignore new file mode 100644 index 0000000..6f56801 --- /dev/null +++ b/example/image_segmentation/android/.gitignore @@ -0,0 +1,13 @@ +gradle-wrapper.jar +/.gradle +/captures/ +/gradlew +/gradlew.bat +/local.properties +GeneratedPluginRegistrant.java + +# Remember to never publicly share your keystore. +# See https://flutter.dev/docs/deployment/android#reference-the-keystore-from-the-app +key.properties +**/*.keystore +**/*.jks diff --git a/example/image_segmentation/android/app/build.gradle b/example/image_segmentation/android/app/build.gradle new file mode 100644 index 0000000..fe6660c --- /dev/null +++ b/example/image_segmentation/android/app/build.gradle @@ -0,0 +1,67 @@ +plugins { + id "com.android.application" + id "kotlin-android" + id "dev.flutter.flutter-gradle-plugin" +} + +def localProperties = new Properties() +def localPropertiesFile = rootProject.file('local.properties') +if (localPropertiesFile.exists()) { + localPropertiesFile.withReader('UTF-8') { reader -> + localProperties.load(reader) + } +} + +def flutterVersionCode = localProperties.getProperty('flutter.versionCode') +if (flutterVersionCode == null) { + flutterVersionCode = '1' +} + +def flutterVersionName = localProperties.getProperty('flutter.versionName') +if (flutterVersionName == null) { + flutterVersionName = '1.0' +} + +android { + namespace "org.tensorflow.image_segmentation" + compileSdkVersion flutter.compileSdkVersion + ndkVersion flutter.ndkVersion + + compileOptions { + sourceCompatibility JavaVersion.VERSION_1_8 + targetCompatibility JavaVersion.VERSION_1_8 + } + + kotlinOptions { + jvmTarget = '1.8' + } + + sourceSets { + main.java.srcDirs += 'src/main/kotlin' + } + + defaultConfig { + // TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html). + applicationId "org.tensorflow.image_segmentation" + // You can update the following values to match your application needs. + // For more information, see: https://docs.flutter.dev/deployment/android#reviewing-the-gradle-build-configuration. + minSdkVersion 21 + targetSdkVersion flutter.targetSdkVersion + versionCode flutterVersionCode.toInteger() + versionName flutterVersionName + } + + buildTypes { + release { + // TODO: Add your own signing config for the release build. + // Signing with the debug keys for now, so `flutter run --release` works. + signingConfig signingConfigs.debug + } + } +} + +flutter { + source '../..' +} + +dependencies {} diff --git a/example/image_segmentation/android/app/src/debug/AndroidManifest.xml b/example/image_segmentation/android/app/src/debug/AndroidManifest.xml new file mode 100644 index 0000000..399f698 --- /dev/null +++ b/example/image_segmentation/android/app/src/debug/AndroidManifest.xml @@ -0,0 +1,7 @@ + + + + diff --git a/example/image_segmentation/android/app/src/main/AndroidManifest.xml b/example/image_segmentation/android/app/src/main/AndroidManifest.xml new file mode 100644 index 0000000..89775f7 --- /dev/null +++ b/example/image_segmentation/android/app/src/main/AndroidManifest.xml @@ -0,0 +1,33 @@ + + + + + + + + + + + + + + diff --git a/example/image_segmentation/android/app/src/main/kotlin/org/tensorflow/image_segmentation/MainActivity.kt b/example/image_segmentation/android/app/src/main/kotlin/org/tensorflow/image_segmentation/MainActivity.kt new file mode 100644 index 0000000..f9a998a --- /dev/null +++ b/example/image_segmentation/android/app/src/main/kotlin/org/tensorflow/image_segmentation/MainActivity.kt @@ -0,0 +1,6 @@ +package org.tensorflow.image_segmentation + +import io.flutter.embedding.android.FlutterActivity + +class MainActivity: FlutterActivity() { +} diff --git a/example/image_segmentation/android/app/src/main/res/drawable-v21/launch_background.xml b/example/image_segmentation/android/app/src/main/res/drawable-v21/launch_background.xml new file mode 100644 index 0000000..f74085f --- /dev/null +++ b/example/image_segmentation/android/app/src/main/res/drawable-v21/launch_background.xml @@ -0,0 +1,12 @@ + + + + + + + + diff --git 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0000000..399f698 --- /dev/null +++ b/example/image_segmentation/android/app/src/profile/AndroidManifest.xml @@ -0,0 +1,7 @@ + + + + diff --git a/example/image_segmentation/android/build.gradle b/example/image_segmentation/android/build.gradle new file mode 100644 index 0000000..f7eb7f6 --- /dev/null +++ b/example/image_segmentation/android/build.gradle @@ -0,0 +1,31 @@ +buildscript { + ext.kotlin_version = '1.7.10' + repositories { + google() + mavenCentral() + } + + dependencies { + classpath 'com.android.tools.build:gradle:7.3.0' + classpath "org.jetbrains.kotlin:kotlin-gradle-plugin:$kotlin_version" + } +} + +allprojects { + repositories { + google() + mavenCentral() + } +} + +rootProject.buildDir = '../build' +subprojects { + project.buildDir = "${rootProject.buildDir}/${project.name}" +} +subprojects { + project.evaluationDependsOn(':app') +} + +tasks.register("clean", Delete) { + delete rootProject.buildDir +} diff --git a/example/image_segmentation/android/gradle.properties b/example/image_segmentation/android/gradle.properties new file mode 100644 index 0000000..94adc3a --- /dev/null +++ b/example/image_segmentation/android/gradle.properties @@ -0,0 +1,3 @@ +org.gradle.jvmargs=-Xmx1536M +android.useAndroidX=true +android.enableJetifier=true diff --git a/example/image_segmentation/android/gradle/wrapper/gradle-wrapper.properties b/example/image_segmentation/android/gradle/wrapper/gradle-wrapper.properties new file mode 100644 index 0000000..3c472b9 --- /dev/null +++ b/example/image_segmentation/android/gradle/wrapper/gradle-wrapper.properties @@ -0,0 +1,5 @@ +distributionBase=GRADLE_USER_HOME +distributionPath=wrapper/dists +zipStoreBase=GRADLE_USER_HOME +zipStorePath=wrapper/dists +distributionUrl=https\://services.gradle.org/distributions/gradle-7.5-all.zip diff --git a/example/image_segmentation/android/settings.gradle b/example/image_segmentation/android/settings.gradle new file mode 100644 index 0000000..55c4ca8 --- /dev/null +++ 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@@ -0,0 +1,2 @@ +#include? "Pods/Target Support Files/Pods-Runner/Pods-Runner.debug.xcconfig" +#include "Generated.xcconfig" diff --git a/example/image_segmentation/ios/Flutter/Release.xcconfig b/example/image_segmentation/ios/Flutter/Release.xcconfig new file mode 100644 index 0000000..c4855bf --- /dev/null +++ b/example/image_segmentation/ios/Flutter/Release.xcconfig @@ -0,0 +1,2 @@ +#include? "Pods/Target Support Files/Pods-Runner/Pods-Runner.release.xcconfig" +#include "Generated.xcconfig" diff --git a/example/image_segmentation/ios/Podfile b/example/image_segmentation/ios/Podfile new file mode 100644 index 0000000..fdcc671 --- /dev/null +++ b/example/image_segmentation/ios/Podfile @@ -0,0 +1,44 @@ +# Uncomment this line to define a global platform for your project +# platform :ios, '11.0' + +# CocoaPods analytics sends network stats synchronously affecting flutter build latency. +ENV['COCOAPODS_DISABLE_STATS'] = 'true' + +project 'Runner', { + 'Debug' => :debug, + 'Profile' => :release, + 'Release' => :release, +} + +def flutter_root + generated_xcode_build_settings_path = File.expand_path(File.join('..', 'Flutter', 'Generated.xcconfig'), __FILE__) + unless File.exist?(generated_xcode_build_settings_path) + raise "#{generated_xcode_build_settings_path} must exist. If you're running pod install manually, make sure flutter pub get is executed first" + end + + File.foreach(generated_xcode_build_settings_path) do |line| + matches = line.match(/FLUTTER_ROOT\=(.*)/) + return matches[1].strip if matches + end + raise "FLUTTER_ROOT not found in #{generated_xcode_build_settings_path}. Try deleting Generated.xcconfig, then run flutter pub get" +end + +require File.expand_path(File.join('packages', 'flutter_tools', 'bin', 'podhelper'), flutter_root) + +flutter_ios_podfile_setup + +target 'Runner' do + use_frameworks! + use_modular_headers! + + flutter_install_all_ios_pods File.dirname(File.realpath(__FILE__)) + target 'RunnerTests' do + inherit! :search_paths + end +end + +post_install do |installer| + installer.pods_project.targets.each do |target| + flutter_additional_ios_build_settings(target) + end +end diff --git a/example/image_segmentation/ios/Runner.xcodeproj/project.pbxproj b/example/image_segmentation/ios/Runner.xcodeproj/project.pbxproj new file mode 100644 index 0000000..63e3709 --- /dev/null +++ b/example/image_segmentation/ios/Runner.xcodeproj/project.pbxproj @@ -0,0 +1,724 @@ +// !$*UTF8*$! +{ + archiveVersion = 1; + classes = { + }; + objectVersion = 54; + objects = { + +/* Begin PBXBuildFile section */ + 1498D2341E8E89220040F4C2 /* GeneratedPluginRegistrant.m in Sources */ = {isa = PBXBuildFile; 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b/example/image_segmentation/ios/Runner.xcworkspace/xcshareddata/WorkspaceSettings.xcsettings @@ -0,0 +1,8 @@ + + + + + PreviewsEnabled + + + diff --git a/example/image_segmentation/ios/Runner/AppDelegate.swift b/example/image_segmentation/ios/Runner/AppDelegate.swift new file mode 100644 index 0000000..70693e4 --- /dev/null +++ b/example/image_segmentation/ios/Runner/AppDelegate.swift @@ -0,0 +1,13 @@ +import UIKit +import Flutter + +@UIApplicationMain +@objc class AppDelegate: FlutterAppDelegate { + override func application( + _ application: UIApplication, + didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]? + ) -> Bool { + GeneratedPluginRegistrant.register(with: self) + return super.application(application, didFinishLaunchingWithOptions: launchOptions) + } +} diff --git a/example/image_segmentation/ios/Runner/Assets.xcassets/AppIcon.appiconset/Contents.json b/example/image_segmentation/ios/Runner/Assets.xcassets/AppIcon.appiconset/Contents.json new 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binary patch literal 68 zcmeAS@N?(olHy`uVBq!ia0vp^j3CUx0wlM}@Gt=>Zci7-kcv6Uzs@r-FtIZ-&5|)J Q1PU{Fy85}Sb4q9e0B4a5jsO4v literal 0 HcmV?d00001 diff --git a/example/image_segmentation/ios/Runner/Assets.xcassets/LaunchImage.imageset/README.md b/example/image_segmentation/ios/Runner/Assets.xcassets/LaunchImage.imageset/README.md new file mode 100644 index 0000000..89c2725 --- /dev/null +++ b/example/image_segmentation/ios/Runner/Assets.xcassets/LaunchImage.imageset/README.md @@ -0,0 +1,5 @@ +# Launch Screen Assets + +You can customize the launch screen with your own desired assets by replacing the image files in this directory. + +You can also do it by opening your Flutter project's Xcode project with `open ios/Runner.xcworkspace`, selecting `Runner/Assets.xcassets` in the Project Navigator and dropping in the desired images. \ No newline at end of file diff --git a/example/image_segmentation/ios/Runner/Base.lproj/LaunchScreen.storyboard b/example/image_segmentation/ios/Runner/Base.lproj/LaunchScreen.storyboard new file mode 100644 index 0000000..f2e259c --- /dev/null +++ b/example/image_segmentation/ios/Runner/Base.lproj/LaunchScreen.storyboard @@ -0,0 +1,37 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/example/image_segmentation/ios/Runner/Base.lproj/Main.storyboard b/example/image_segmentation/ios/Runner/Base.lproj/Main.storyboard new file mode 100644 index 0000000..f3c2851 --- /dev/null +++ b/example/image_segmentation/ios/Runner/Base.lproj/Main.storyboard @@ -0,0 +1,26 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/example/image_segmentation/ios/Runner/Info.plist b/example/image_segmentation/ios/Runner/Info.plist new file mode 100644 index 0000000..dbe38ae --- /dev/null +++ b/example/image_segmentation/ios/Runner/Info.plist @@ -0,0 +1,53 @@ + + + + + CADisableMinimumFrameDurationOnPhone + + CFBundleDevelopmentRegion + $(DEVELOPMENT_LANGUAGE) + CFBundleDisplayName + Image Segmentation + CFBundleExecutable + $(EXECUTABLE_NAME) + CFBundleIdentifier + $(PRODUCT_BUNDLE_IDENTIFIER) + CFBundleInfoDictionaryVersion + 6.0 + CFBundleName + image_segmentation + CFBundlePackageType + APPL + CFBundleShortVersionString + $(FLUTTER_BUILD_NAME) + CFBundleSignature + ???? + CFBundleVersion + $(FLUTTER_BUILD_NUMBER) + LSRequiresIPhoneOS + + NSCameraUsageDescription + We need your permission to access your camera to run segmentation + NSMicrophoneUsageDescription + Your usage description here + UIApplicationSupportsIndirectInputEvents + + UILaunchStoryboardName + LaunchScreen + UIMainStoryboardFile + Main + UISupportedInterfaceOrientations + + UIInterfaceOrientationPortrait + UIInterfaceOrientationLandscapeLeft + UIInterfaceOrientationLandscapeRight + + UISupportedInterfaceOrientations~ipad + + UIInterfaceOrientationPortrait + UIInterfaceOrientationPortraitUpsideDown + UIInterfaceOrientationLandscapeLeft + UIInterfaceOrientationLandscapeRight + + + diff --git a/example/image_segmentation/ios/Runner/Runner-Bridging-Header.h b/example/image_segmentation/ios/Runner/Runner-Bridging-Header.h new file mode 100644 index 0000000..308a2a5 --- /dev/null +++ b/example/image_segmentation/ios/Runner/Runner-Bridging-Header.h @@ -0,0 +1 @@ +#import "GeneratedPluginRegistrant.h" diff --git a/example/image_segmentation/ios/RunnerTests/RunnerTests.swift b/example/image_segmentation/ios/RunnerTests/RunnerTests.swift new file mode 100644 index 0000000..86a7c3b --- /dev/null +++ b/example/image_segmentation/ios/RunnerTests/RunnerTests.swift @@ -0,0 +1,12 @@ +import Flutter +import UIKit +import XCTest + +class RunnerTests: XCTestCase { + + func testExample() { + // If you add code to the Runner application, consider adding tests here. + // See https://developer.apple.com/documentation/xctest for more information about using XCTest. + } + +} diff --git a/example/image_segmentation/lib/helper/image_segmentation_helper.dart b/example/image_segmentation/lib/helper/image_segmentation_helper.dart new file mode 100644 index 0000000..8419917 --- /dev/null +++ b/example/image_segmentation/lib/helper/image_segmentation_helper.dart @@ -0,0 +1,92 @@ +/* + * Copyright 2023 The TensorFlow Authors. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:camera/camera.dart'; +import 'package:flutter/services.dart'; +import 'package:image_segmentation/helper/isolate_inference.dart'; +import 'package:tflite_flutter/tflite_flutter.dart'; +import 'dart:isolate'; + +class ImageSegmentationHelper { + late Interpreter _interpreter; + late List _labels; + late IsolateInference _isolateInference; + late List _inputShape; + late List _outputShape; + + static final labelColors = [ + -16777216, + -8388608, + -16744448, + -8355840, + -16777088, + -8388480, + -16744320, + -8355712, + -12582912, + -4194304, + -12550144, + -4161536, + -12582784, + -4194176, + -12550016, + -4161408, + -16760832, + -8372224, + -16728064, + -8339456, + -16760704 + ]; + + _loadModel() async { + final options = InterpreterOptions(); + _interpreter = await Interpreter.fromAsset('assets/deeplabv3.tflite', + options: options); + } + + _loadLabel() async { + final labelString = await rootBundle.loadString('assets/labelmap.txt'); + _labels = labelString.split('\n'); + } + + Future initHelper() async { + await _loadModel(); + await _loadLabel(); + _inputShape = _interpreter.getInputTensor(0).shape; + _outputShape = _interpreter.getOutputTensor(0).shape; + _isolateInference = IsolateInference(); + await _isolateInference.start(); + } + + Future>>?> inferenceCameraFrame( + CameraImage cameraImage) async { + final inferenceModel = InferenceModel( + cameraImage, _interpreter.address, _inputShape, _outputShape); + ReceivePort responsePort = ReceivePort(); + _isolateInference.sendPort + .send(inferenceModel..responsePort = responsePort.sendPort); + final results = await responsePort.first; + return results; + } + + getLabelsName(int index) { + return _labels[index]; + } + + close() { + _interpreter.close(); + } +} diff --git a/example/image_segmentation/lib/helper/isolate_inference.dart b/example/image_segmentation/lib/helper/isolate_inference.dart new file mode 100644 index 0000000..63aee66 --- /dev/null +++ b/example/image_segmentation/lib/helper/isolate_inference.dart @@ -0,0 +1,110 @@ +/* + * Copyright 2023 The TensorFlow Authors. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'dart:io'; +import 'dart:isolate'; +import 'package:camera/camera.dart'; +import 'package:image/image.dart' as image_lib; +import 'package:tflite_flutter/tflite_flutter.dart'; + +import '../image_utils.dart'; + +class IsolateInference { + static const String _debugName = "TFLITE_INFERENCE"; + final ReceivePort _receivePort = ReceivePort(); + late Isolate _isolate; + late SendPort _sendPort; + + SendPort get sendPort => _sendPort; + + Future start() async { + _isolate = await Isolate.spawn(entryPoint, _receivePort.sendPort, + debugName: _debugName); + _sendPort = await _receivePort.first; + } + + Future close() async { + _isolate.kill(); + _receivePort.close(); + } + + static void entryPoint(SendPort sendPort) async { + final port = ReceivePort(); + sendPort.send(port.sendPort); + + await for (final InferenceModel isolateModel in port) { + image_lib.Image? imageInput = + ImageUtils.convertCameraImage(isolateModel.cameraImage!); + + // rotate image if android because camera image is landscape + if (Platform.isAndroid) { + imageInput = image_lib.copyRotate(imageInput!, angle: 90); + } + + // resize original image to match model shape. + imageInput = image_lib.copyResize( + imageInput!, + width: isolateModel.inputShape[1], + height: isolateModel.inputShape[2], + ); + + final imageMatrix = List.generate( + imageInput.height, + (y) => List.generate( + imageInput!.width, + (x) { + final pixel = imageInput!.getPixel(x, y); + // normalize -1 to 1 + return [ + (pixel.r - 127.5) / 127.5, + (pixel.b - 127.5) / 127.5, + (pixel.g - 127.5) / 127.5 + ]; + }, + ), + ); + + // Set tensor input [1, 257, 257, 3] + final input = [imageMatrix]; + // Set tensor output [1, 257, 257, 21] + final output = [ + List.filled( + isolateModel.outputShape[1], + List.filled(isolateModel.outputShape[2], + List.filled(isolateModel.outputShape[3], 0.0))) + ]; + // // Run inference + Interpreter interpreter = + Interpreter.fromAddress(isolateModel.interpreterAddress); + interpreter.run(input, output); + // Get first output tensor + final result = output.first; + + isolateModel.responsePort.send(result); + } + } +} + +class InferenceModel { + CameraImage? cameraImage; + int interpreterAddress; + List inputShape; + List outputShape; + late SendPort responsePort; + + InferenceModel(this.cameraImage, this.interpreterAddress, this.inputShape, + this.outputShape); +} diff --git a/example/image_segmentation/lib/image_utils.dart b/example/image_segmentation/lib/image_utils.dart new file mode 100644 index 0000000..384d3d3 --- /dev/null +++ b/example/image_segmentation/lib/image_utils.dart @@ -0,0 +1,95 @@ +/* + * Copyright 2023 The TensorFlow Authors. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'package:camera/camera.dart'; +import 'package:image/image.dart' as image_lib; + +// ImageUtils +class ImageUtils { + // Converts a [CameraImage] object to [image_lib.Image] object + static image_lib.Image? convertCameraImage(CameraImage cameraImage) { + if (cameraImage.format.group == ImageFormatGroup.yuv420) { + return convertYUV420ToImage(cameraImage); + } else if (cameraImage.format.group == ImageFormatGroup.bgra8888) { + return convertBGRA8888ToImage(cameraImage); + } else { + return null; + } + } + + // Converts a [CameraImage] in BGRA888 format to [imageLib.Image] in RGB format + static image_lib.Image convertBGRA8888ToImage(CameraImage cameraImage) { + image_lib.Image img = image_lib.Image.fromBytes( + width: cameraImage.planes[0].width!, + height: cameraImage.planes[0].height!, + bytes: cameraImage.planes[0].bytes.buffer, + order: image_lib.ChannelOrder.bgra); + return img; + } + + // Converts a [CameraImage] in YUV420 format to [imageLib.Image] in RGB format + static image_lib.Image convertYUV420ToImage(CameraImage cameraImage) { + final imageWidth = cameraImage.width; + final imageHeight = cameraImage.height; + + final yBuffer = cameraImage.planes[0].bytes; + final uBuffer = cameraImage.planes[1].bytes; + final vBuffer = cameraImage.planes[2].bytes; + + final int yRowStride = cameraImage.planes[0].bytesPerRow; + final int yPixelStride = cameraImage.planes[0].bytesPerPixel!; + + final int uvRowStride = cameraImage.planes[1].bytesPerRow; + final int uvPixelStride = cameraImage.planes[1].bytesPerPixel!; + + final image = image_lib.Image(width: imageWidth, height: imageHeight); + + for (int h = 0; h < imageHeight; h++) { + int uvh = (h / 2).floor(); + + for (int w = 0; w < imageWidth; w++) { + int uvw = (w / 2).floor(); + + final yIndex = (h * yRowStride) + (w * yPixelStride); + + // Y plane should have positive values belonging to [0...255] + final int y = yBuffer[yIndex]; + + // U/V Values are subsampled i.e. each pixel in U/V chanel in a + // YUV_420 image act as chroma value for 4 neighbouring pixels + final int uvIndex = (uvh * uvRowStride) + (uvw * uvPixelStride); + + // U/V values ideally fall under [-0.5, 0.5] range. To fit them into + // [0, 255] range they are scaled up and centered to 128. + // Operation below brings U/V values to [-128, 127]. + final int u = uBuffer[uvIndex]; + final int v = vBuffer[uvIndex]; + + // Compute RGB values per formula above. + int r = (y + v * 1436 / 1024 - 179).round(); + int g = (y - u * 46549 / 131072 + 44 - v * 93604 / 131072 + 91).round(); + int b = (y + u * 1814 / 1024 - 227).round(); + + r = r.clamp(0, 255); + g = g.clamp(0, 255); + b = b.clamp(0, 255); + + image.setPixelRgb(w, h, r, g, b); + } + } + return image; + } +} diff --git a/example/image_segmentation/lib/main.dart b/example/image_segmentation/lib/main.dart new file mode 100644 index 0000000..c8c8fbe --- /dev/null +++ b/example/image_segmentation/lib/main.dart @@ -0,0 +1,278 @@ +/* + * Copyright 2023 The TensorFlow Authors. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import 'dart:io'; +import 'dart:typed_data'; + +import 'package:camera/camera.dart'; +import 'package:flutter/material.dart'; +import 'package:image_segmentation/helper/image_segmentation_helper.dart'; +import 'package:image/image.dart' as image_lib; +import 'dart:ui' as ui; + +late List _cameras; + +Future main() async { + WidgetsFlutterBinding.ensureInitialized(); + // get available cameras + _cameras = await availableCameras(); + runApp(const MyApp()); +} + +class MyApp extends StatelessWidget { + const MyApp({super.key}); + + // This widget is the root of your application. + @override + Widget build(BuildContext context) { + return MaterialApp( + title: 'Image Segmentation', + theme: ThemeData( + colorScheme: ColorScheme.fromSeed(seedColor: Colors.deepPurple), + useMaterial3: true, + ), + home: const MyHomePage(title: 'Image Segmentation Home Page'), + ); + } +} + +class MyHomePage extends StatefulWidget { + const MyHomePage({super.key, required this.title}); + + final String title; + + @override + State createState() => _MyHomePageState(); +} + +class _MyHomePageState extends State with WidgetsBindingObserver { + CameraController? _cameraController; + bool _isProcessing = false; + late CameraDescription _cameraDescription; + late ImageSegmentationHelper _imageSegmentationHelper; + ui.Image? _displayImage; + List? _labelsIndex; + + Future _initCamera() async { + _cameraDescription = _cameras.firstWhere( + (element) => element.lensDirection == CameraLensDirection.back); + _cameraController = CameraController( + _cameraDescription, ResolutionPreset.medium, + imageFormatGroup: Platform.isIOS + ? ImageFormatGroup.bgra8888 + : ImageFormatGroup.yuv420, + enableAudio: false); + await _cameraController!.initialize().then((value) { + _cameraController!.startImageStream(_imageAnalysis); + if (mounted) { + setState(() {}); + } + }); + } + + Future _imageAnalysis(CameraImage cameraImage) async { + // if image is still analyze, skip this frame + if (_isProcessing) { + return; + } + _isProcessing = true; + // run image segmentation + final masks = + await _imageSegmentationHelper.inferenceCameraFrame(cameraImage); + _isProcessing = false; + if (mounted) { + // convert mask to image, if Platform is Android we need to swap width + // and height because camera image in android is landscape + _convertToImage( + masks, + Platform.isIOS ? cameraImage.width : cameraImage.height, + Platform.isIOS ? cameraImage.height : cameraImage.width); + } + } + + _initHelper() { + _imageSegmentationHelper = ImageSegmentationHelper(); + _imageSegmentationHelper.initHelper(); + _initCamera(); + } + + @override + void initState() { + super.initState(); + WidgetsBinding.instance.addPostFrameCallback((_) { + _initHelper(); + }); + } + + @override + void dispose() { + _cameraController?.dispose(); + _imageSegmentationHelper.close(); + super.dispose(); + } + + // convert output mask to image + void _convertToImage(List>>? masks, int originImageWidth, + int originImageHeight) async { + if (masks == null) return null; + final width = masks.length; + final height = masks.first.length; + // store image matrix + List imageMatrix = []; + // store labels index to display on screen + final labelsIndex = {}; + + for (int i = 0; i < width; i++) { + final List> row = masks[i]; + for (int j = 0; j < height; j++) { + final List score = row[j]; + // find index of max score + int maxIndex = 0; + double maxScore = score[0]; + for (int k = 1; k < score.length; k++) { + if (score[k] > maxScore) { + maxScore = score[k]; + maxIndex = k; + } + } + labelsIndex.add(maxIndex); + // if max index is 0, it means background + if (maxIndex == 0) { + imageMatrix.addAll([0, 0, 0, 0]); + continue; + } + + // get color from label color + final color = ImageSegmentationHelper.labelColors[maxIndex]; + // convert color to r,g,b + final r = (color & 0x00ff0000) >> 16; + final g = (color & 0x0000ff00) >> 8; + final b = (color & 0x000000ff); + // alpha 50% + imageMatrix.addAll([r, g, b, 127]); + } + } + + // convert image matrix to image + image_lib.Image convertedImage = image_lib.Image.fromBytes( + width: width, + height: height, + bytes: Uint8List.fromList(imageMatrix).buffer, + numChannels: 4); + + // resize output image to match original image + final resizeImage = image_lib.copyResize(convertedImage, + width: originImageWidth, height: originImageHeight); + + // convert image to ui.Image to display on screen + final bytes = image_lib.encodePng(resizeImage); + ui.Codec codec = await ui.instantiateImageCodec(bytes); + ui.FrameInfo frameInfo = await codec.getNextFrame(); + setState(() { + _displayImage = frameInfo.image; + _labelsIndex = labelsIndex.toList(); + }); + } + + Widget cameraWidget(context) { + if (_cameraController == null) return Container(); + // calculate scale to fit output image to screen + var scale = 1.0; + if (_displayImage != null) { + final minOutputSize = _displayImage!.width > _displayImage!.height + ? _displayImage!.height + : _displayImage!.width; + final minScreenSize = + MediaQuery.of(context).size.width > MediaQuery.of(context).size.height + ? MediaQuery.of(context).size.height + : MediaQuery.of(context).size.width; + scale = minScreenSize / minOutputSize; + } + return Stack( + children: [ + CameraPreview(_cameraController!), + if (_displayImage != null) + Transform.scale( + scale: scale, + child: CustomPaint( + painter: OverlayPainter()..updateImage(_displayImage!), + ), + ), + if (_labelsIndex != null) + // Align bottom + Align( + alignment: Alignment.bottomCenter, + child: ListView.builder( + shrinkWrap: true, + itemCount: _labelsIndex!.length, + itemBuilder: (context, index) { + return Container( + margin: const EdgeInsets.all(8), + padding: const EdgeInsets.all(8), + decoration: BoxDecoration( + // parse color from label color + color: Color(ImageSegmentationHelper + .labelColors[_labelsIndex![index]]) + .withOpacity(0.5), + borderRadius: BorderRadius.circular(8), + ), + child: Text( + _imageSegmentationHelper + .getLabelsName(_labelsIndex![index]), + style: const TextStyle( + fontSize: 12, + ), + ), + ); + }, + ), + ) + ], + ); + } + + @override + Widget build(BuildContext context) { + return Scaffold( + appBar: AppBar( + title: Center( + child: Image.asset('assets/images/tfl_logo.png'), + ), + backgroundColor: Colors.black.withOpacity(0.5), + ), + body: cameraWidget(context), + ); + } +} + +// OverlayPainter is used to draw mask on top of camera preview +class OverlayPainter extends CustomPainter { + late final ui.Image image; + + updateImage(ui.Image image) { + this.image = image; + } + + @override + void paint(Canvas canvas, Size size) { + canvas.drawImage(image, Offset.zero, Paint()); + } + + @override + bool shouldRepaint(covariant CustomPainter oldDelegate) { + return true; + } +} diff --git a/example/image_segmentation/pubspec.yaml b/example/image_segmentation/pubspec.yaml new file mode 100644 index 0000000..9b0a9cd --- /dev/null +++ b/example/image_segmentation/pubspec.yaml @@ -0,0 +1,94 @@ +name: image_segmentation +description: An end-to-end sample of a image segmentation. +# The following line prevents the package from being accidentally published to +# pub.dev using `flutter pub publish`. This is preferred for private packages. +publish_to: 'none' # Remove this line if you wish to publish to pub.dev + +# The following defines the version and build number for your application. +# A version number is three numbers separated by dots, like 1.2.43 +# followed by an optional build number separated by a +. +# Both the version and the builder number may be overridden in flutter +# build by specifying --build-name and --build-number, respectively. +# In Android, build-name is used as versionName while build-number used as versionCode. +# Read more about Android versioning at https://developer.android.com/studio/publish/versioning +# In iOS, build-name is used as CFBundleShortVersionString while build-number is used as CFBundleVersion. +# Read more about iOS versioning at +# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html +# In Windows, build-name is used as the major, minor, and patch parts +# of the product and file versions while build-number is used as the build suffix. +version: 1.0.0+1 + +environment: + sdk: '>=3.1.0 <4.0.0' + +# Dependencies specify other packages that your package needs in order to work. +# To automatically upgrade your package dependencies to the latest versions +# consider running `flutter pub upgrade --major-versions`. Alternatively, +# dependencies can be manually updated by changing the version numbers below to +# the latest version available on pub.dev. To see which dependencies have newer +# versions available, run `flutter pub outdated`. +dependencies: + flutter: + sdk: flutter + tflite_flutter: + path: ../../ + image: ^4.0.17 + camera: ^0.10.5+2 + + # The following adds the Cupertino Icons font to your application. + # Use with the CupertinoIcons class for iOS style icons. + cupertino_icons: ^1.0.2 + +dev_dependencies: + flutter_test: + sdk: flutter + + # The "flutter_lints" package below contains a set of recommended lints to + # encourage good coding practices. The lint set provided by the package is + # activated in the `analysis_options.yaml` file located at the root of your + # package. See that file for information about deactivating specific lint + # rules and activating additional ones. + flutter_lints: ^2.0.0 + +# For information on the generic Dart part of this file, see the +# following page: https://dart.dev/tools/pub/pubspec + +# The following section is specific to Flutter packages. +flutter: + + # The following line ensures that the Material Icons font is + # included with your application, so that you can use the icons in + # the material Icons class. + uses-material-design: true + + # To add assets to your application, add an assets section, like this: + assets: + - assets/images/ + - assets/deeplabv3.tflite + - assets/labelmap.txt + + # An image asset can refer to one or more resolution-specific "variants", see + # https://flutter.dev/assets-and-images/#resolution-aware + + # For details regarding adding assets from package dependencies, see + # https://flutter.dev/assets-and-images/#from-packages + + # To add custom fonts to your application, add a fonts section here, + # in this "flutter" section. Each entry in this list should have a + # "family" key with the font family name, and a "fonts" key with a + # list giving the asset and other descriptors for the font. For + # example: + # fonts: + # - family: Schyler + # fonts: + # - asset: fonts/Schyler-Regular.ttf + # - asset: fonts/Schyler-Italic.ttf + # style: italic + # - family: Trajan Pro + # fonts: + # - asset: fonts/TrajanPro.ttf + # - asset: fonts/TrajanPro_Bold.ttf + # weight: 700 + # + # For details regarding fonts from package dependencies, + # see https://flutter.dev/custom-fonts/#from-packages diff --git a/example/image_segmentation/screenshots/android_screenshot.jpg b/example/image_segmentation/screenshots/android_screenshot.jpg new file mode 100755 index 0000000000000000000000000000000000000000..903039dfec6f9c602679cae44e395aed3a4d92ed GIT binary patch literal 140373 zcmb@s2{_c>+dux6N=QQXtwPGa?@UsJkbO5H`<5+(F;mLEg;2s&LI}y4ZL*VO8B2D? zzRy_3V3yzX`99C{eXieg{jdM;`v3m#w=;7)bGFxg?sMPg-1i~>AUaP~jSJfnR7eJCyet^KcWP2a}>ejbmnnmm-&l#r2&{0&9(y_8K zm(?`CFAo6cUQz$k<`qi4wpUF5&@>c!EG_jP`mD6HH1Ph+fA&S?@SgfVX=*x3IY35A zMpi{iSw%+qs{P`hbBhax)1LC!{Rd>f6Jb^3;;g9K>;Q@cdlAl+g$yp{(pQp 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