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observer/flutter_app/lib/camera/frame_analyzer.dart
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import 'package:camera/camera.dart';
import '../detection/detection_result.dart';
import '../detection/detector_worker.dart';
import 'camera_view_model.dart';
/// 抽帧节流 + 后台推理(对应 Kotlin FrameAnalyzer)。
/// 推理在后台 isolateDetectorWorker)执行,主 isolate 只投递帧与收结果。
class FrameAnalyzer {
/// 连续检测:100ms 一帧
int intervalMs = 100;
/// null = 模型加载失败,仅预览不分析
final DetectorWorker? worker;
final CameraViewModel viewModel;
int _lastDetectMs = 0;
/// 诊断计数:推理调用/异常次数
int detectCalls = 0;
int detectErrors = 0;
String? lastError;
/// 最近一次完整处理(预处理+推理+运动检测)耗时 ms(worker 侧)
int lastProcessMs = 0;
/// 图像流回调是否到达(诊断用)
int framesReceived = 0;
FrameAnalyzer({required this.worker, required this.viewModel}) {
worker?.onResult = _onResult;
worker?.onError = _onError;
}
void recordStreamError(String msg) {
lastError = msg;
detectErrors++;
}
void _onResult(
List<DetectionResult> results,
List<MotionRegion> motion,
List<MotionRegion> novelty,
int rotation,
int width,
int height,
int processMs) {
detectCalls++;
lastProcessMs = processMs;
viewModel.onFramesAnalyzed(
results,
rotation,
width,
height,
motion,
novelty,
detectCalls: detectCalls,
detectErrors: detectErrors,
lastError: lastError,
framesReceived: framesReceived,
lastProcessMs: lastProcessMs,
);
}
void _onError(String msg) {
detectErrors++;
lastError = msg;
viewModel.onFramesAnalyzed(
const [],
90,
0,
0,
const [],
const [],
detectCalls: detectCalls,
detectErrors: detectErrors,
lastError: lastError,
framesReceived: framesReceived,
lastProcessMs: lastProcessMs,
);
}
void analyze(CameraImage image, int rotationDegrees) {
framesReceived++;
final w = worker;
if (w == null) return;
final now = DateTime.now().millisecondsSinceEpoch;
if (now - _lastDetectMs < intervalMs) return;
_lastDetectMs = now;
if (w.busy) return; // 上一帧未返回则丢帧,避免在途积压
w.analyze(image, rotationDegrees);
}
void reset() => _lastDetectMs = 0;
void dispose() => worker?.dispose();
}