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- 标注：AI 预标注直写 labels_json（去候选确认两阶段）；重叠去重（minIoU）；全量标注按钮 - 训练：脚本迁移入 server/training/（Go 化 prepare_yolo/analyze_rfdetr，保留 train_server.py）；tflite 产物自检并入训练流程（check_tflite） - 数据目录/权重不进 git；.gitignore 迁移至仓库根
58 lines
2.0 KiB
Kotlin
58 lines
2.0 KiB
Kotlin
plugins {
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id("com.android.application")
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// The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.
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id("dev.flutter.flutter-gradle-plugin")
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}
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android {
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namespace = "com.example.observer"
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compileSdk = flutter.compileSdkVersion
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ndkVersion = flutter.ndkVersion
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compileOptions {
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sourceCompatibility = JavaVersion.VERSION_17
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targetCompatibility = JavaVersion.VERSION_17
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}
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defaultConfig {
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// TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
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applicationId = "com.example.observer"
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// You can update the following values to match your application needs.
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// For more information, see: https://flutter.dev/to/review-gradle-config.
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minSdk = flutter.minSdkVersion
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targetSdk = flutter.targetSdkVersion
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versionCode = flutter.versionCode
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versionName = flutter.versionName
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}
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buildTypes {
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release {
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// TODO: Add your own signing config for the release build.
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// Signing with the debug keys for now, so `flutter run --release` works.
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signingConfig = signingConfigs.getByName("debug")
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}
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}
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}
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kotlin {
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compilerOptions {
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jvmTarget = org.jetbrains.kotlin.gradle.dsl.JvmTarget.JVM_17
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}
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}
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// 相机用 Android 框架 camera2 API 完全自研（CameraChannel.kt）：
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// 预览 SurfaceTexture（Flutter 纹理）+ ImageReader 分析帧（原生侧旋转成竖屏后回传），
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// 不依赖任何相机三方库（含 CameraX）。
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// tflite_flutter 依赖的 tensorflow-lite / tensorflow-lite-gpu / tensorflow-lite-api 三个 AAR
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// 声明了相同 namespace(org.tensorflow.lite),新 AGP 视作冲突直接报错;
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// 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。
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configurations.all {
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exclude(group = "org.tensorflow", module = "tensorflow-lite-gpu")
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exclude(group = "org.tensorflow", module = "tensorflow-lite-api")
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}
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flutter {
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source = "../.."
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}
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