fix: lenteur de l appli capture screen

lib/features/capture/capture_screen.dart

@@ -16,7 +16,8 @@ import '../session/session_provider.dart';
 import 'widgets/image_source_button.dart';
 import '../../services/image_crop_service.dart';
 import '../../services/opencv_target_service.dart'; // AJOUT : Pour la détection périodique
-
+import 'package:image/image.dart' as img;
+import 'package:path_provider/path_provider.dart';
 class CaptureScreen extends StatefulWidget {
   const CaptureScreen({super.key});
 
@@ -120,11 +121,60 @@ class _CaptureScreenState extends State<CaptureScreen> with SingleTickerProvider
     }
   }
 
-  // AJOUT : Démarre la détection périodique du parallélisme toutes les 2 secondes
   void _startAlignmentDetection() {
     _detectionTimer?.cancel();
-    _detectionTimer = Timer.periodic(const Duration(seconds: 2), (_) {
+    _detectionTimer = null;
-      _analyzeCurrentFrame();
+
+    // OPTIMISATION : startImageStream au lieu de takePicture
+    // On analyse 1 frame toutes les 3 secondes via le stream natif
+    DateTime? _lastAnalysis;
+
+    _cameraController!.startImageStream((CameraImage cameraImage) async {
+      if (_isAnalyzingFrame) return;
+      final now = DateTime.now();
+      if (_lastAnalysis != null &&
+          now.difference(_lastAnalysis!).inSeconds < 3) return;
+      _lastAnalysis = now;
+      _isAnalyzingFrame = true;
+
+      try {
+        // Convertir la CameraImage en fichier temporaire pour OpenCV
+        final tempDir = await getTemporaryDirectory();
+        final tempPath =
+            '${tempDir.path}/frame_analysis.jpg';
+
+        // Conversion YUV420 → JPEG via le package image
+        final img.Image? converted = _convertCameraImage(cameraImage);
+        if (converted == null) {
+          _isAnalyzingFrame = false;
+          return;
+        }
+
+        await File(tempPath)
+            .writeAsBytes(img.encodeJpg(converted, quality: 60));
+
+        final result = await _opencvService.detectTarget(tempPath);
+
+        try { await File(tempPath).delete(); } catch (_) {}
+
+        if (mounted && _showLiveCamera) {
+          setState(() {
+            if (!result.success) {
+              _alignmentStatus = null;
+            } else {
+              final bool isCentered =
+                  result.centerX > 0.25 && result.centerX < 0.75 &&
+                      result.centerY > 0.25 && result.centerY < 0.75;
+              final bool isSizedCorrectly = result.radius > 0.15;
+              _alignmentStatus = isCentered && isSizedCorrectly;
+            }
+          });
+        }
+      } catch (e) {
+        debugPrint('Erreur analyse frame: $e');
+      } finally {
+        _isAnalyzingFrame = false;
+      }
     });
   }
 
@@ -132,11 +182,64 @@ class _CaptureScreenState extends State<CaptureScreen> with SingleTickerProvider
   void _stopAlignmentDetection() {
     _detectionTimer?.cancel();
     _detectionTimer = null;
+    // AJOUT : Stopper le stream proprement
+    try {
+      if (_cameraController != null &&
+          _cameraController!.value.isStreamingImages) {
+        _cameraController!.stopImageStream();
+      }
+    } catch (_) {}
     _alignmentStatus = null;
   }
 
+  // AJOUT : Conversion CameraImage (YUV420) vers img.Image
+  img.Image? _convertCameraImage(CameraImage cameraImage) {
+    try {
+      final int width = cameraImage.width;
+      final int height = cameraImage.height;
+
+      // Réduction de résolution pour l'analyse : on prend 1 pixel sur 2
+      // (suffisant pour détecter les cercles, beaucoup plus rapide)
+      final int targetW = width ~/ 2;
+      final int targetH = height ~/ 2;
+
+      final yPlane = cameraImage.planes[0];
+      final uPlane = cameraImage.planes[1];
+      final vPlane = cameraImage.planes[2];
+
+      final image = img.Image(width: targetW, height: targetH);
+
+      for (int y = 0; y < targetH; y++) {
+        for (int x = 0; x < targetW; x++) {
+          final int srcX = x * 2;
+          final int srcY = y * 2;
+
+          final int yIndex = srcY * yPlane.bytesPerRow + srcX;
+          final int uvIndex =
+              (srcY ~/ 2) * uPlane.bytesPerRow + (srcX ~/ 2) * uPlane.bytesPerPixel!;
+
+          final int yVal = yPlane.bytes[yIndex];
+          final int uVal = uPlane.bytes[uvIndex] - 128;
+          final int vVal = vPlane.bytes[uvIndex] - 128;
+
+          // Conversion YUV → RGB
+          final int r = (yVal + 1.402 * vVal).clamp(0, 255).toInt();
+          final int g = (yVal - 0.344136 * uVal - 0.714136 * vVal).clamp(0, 255).toInt();
+          final int b = (yVal + 1.772 * uVal).clamp(0, 255).toInt();
+
+          image.setPixelRgb(x, y, r, g, b);
+        }
+      }
+
+      return image;
+    } catch (e) {
+      debugPrint('Erreur conversion frame: $e');
+      return null;
+    }
+  }
+
   // AJOUT : Capture une frame et analyse le parallélisme via OpenCV
-  Future<void> _analyzeCurrentFrame() async {
+  Future<void> _analyzeCurrentFrame() async {/*
     // Verrou : on n'analyse pas si une analyse est déjà en cours
     if (_isAnalyzingFrame) return;
     if (_cameraController == null || !_cameraController!.value.isInitialized) return;
@@ -177,7 +280,7 @@ class _CaptureScreenState extends State<CaptureScreen> with SingleTickerProvider
       debugPrint('Erreur analyse frame: $e');
     } finally {
       _isAnalyzingFrame = false;
-    }
+    }*/
   }
 
   Future<void> _handleGallerySelection() async {