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 } } // 相机用 Android 框架 camera2 API 完全自研(CameraChannel.kt): // 预览 SurfaceTexture(Flutter 纹理)+ ImageReader 分析帧(原生侧旋转成竖屏后回传), // 不依赖任何相机三方库(含 CameraX)。 // 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,故仍整体排除; // GPU delegate 所需 libtensorflowlite_gpu_jni.so 已手工抽取 vendor 到 // src/main/jniLibs/arm64-v8a/(tflite_flutter 经 FFI 直调 .so,不用 AAR 内 Java 类), // 与 base tensorflow-lite 同为 2.11.0 版本;升级 tflite_flutter 时需同步更新 .so。 configurations.all { exclude(group = "org.tensorflow", module = "tensorflow-lite-gpu") exclude(group = "org.tensorflow", module = "tensorflow-lite-api") } flutter { source = "../.." }