Files
observer/flutter_app/android/app/build.gradle.kts
T

54 lines
1.8 KiB
Kotlin

plugins {
id("com.android.application")
// The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.
id("dev.flutter.flutter-gradle-plugin")
}
android {
namespace = "com.example.observer"
compileSdk = flutter.compileSdkVersion
ndkVersion = flutter.ndkVersion
compileOptions {
sourceCompatibility = JavaVersion.VERSION_17
targetCompatibility = JavaVersion.VERSION_17
}
defaultConfig {
// TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
applicationId = "com.example.observer"
// You can update the following values to match your application needs.
// For more information, see: https://flutter.dev/to/review-gradle-config.
minSdk = flutter.minSdkVersion
targetSdk = flutter.targetSdkVersion
versionCode = flutter.versionCode
versionName = flutter.versionName
}
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.getByName("debug")
}
}
}
kotlin {
compilerOptions {
jvmTarget = org.jetbrains.kotlin.gradle.dsl.JvmTarget.JVM_17
}
}
// tflite_flutter 依赖的 tensorflow-lite / tensorflow-lite-gpu / tensorflow-lite-api 三个 AAR
// 声明了相同 namespace(org.tensorflow.lite),新 AGP 视作冲突直接报错;
// 本项目仅用 CPU 推理,GPU delegate 未使用,排除 gpu 及其传递依赖的 api 即可。
configurations.all {
exclude(group = "org.tensorflow", module = "tensorflow-lite-gpu")
exclude(group = "org.tensorflow", module = "tensorflow-lite-api")
}
flutter {
source = "../.."
}