correction suppression modele yolo

lib/services/target_detection_service.dart

@@ -2,8 +2,6 @@ import 'dart:math' as math;
 import '../data/models/target_type.dart';
 import 'image_processing_service.dart';
 import 'opencv_impact_detection_service.dart';
-import 'yolo_impact_detection_service.dart';
-
 export 'image_processing_service.dart'
     show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
 export 'opencv_impact_detection_service.dart'
@@ -55,16 +53,13 @@ class DetectedImpactResult {
 class TargetDetectionService {
   final ImageProcessingService _imageProcessingService;
   final OpenCVImpactDetectionService _opencvService;
-  final YOLOImpactDetectionService _yoloService;
 
   TargetDetectionService({
     ImageProcessingService? imageProcessingService,
     OpenCVImpactDetectionService? opencvService,
-    YOLOImpactDetectionService? yoloService,
   }) : _imageProcessingService =
            imageProcessingService ?? ImageProcessingService(),
-       _opencvService = opencvService ?? OpenCVImpactDetectionService(),
-       _yoloService = yoloService ?? YOLOImpactDetectionService();
+       _opencvService = opencvService ?? OpenCVImpactDetectionService();
 
   /// Detect target and impacts from an image file
   TargetDetectionResult detectTarget(String imagePath, TargetType targetType) {
@@ -379,45 +374,4 @@ class TargetDetectionService {
     }
   }
 
-  /// Détecte les impacts en utilisant YOLOv8
-  Future<List<DetectedImpactResult>> detectImpactsWithYOLO(
-    String imagePath,
-    TargetType targetType,
-    double centerX,
-    double centerY,
-    double radius,
-    int ringCount,
-  ) async {
-    try {
-      final impacts = await _yoloService.detectImpacts(imagePath);
-
-      return impacts.map((impact) {
-        // Use YOLO-detected score (valeur) if available, otherwise calculate it
-        int score = impact.suggestedScore;
-        
-        if (score <= 0) {
-          score = targetType == TargetType.concentric
-              ? _calculateConcentricScoreWithRings(
-                  impact.x,
-                  impact.y,
-                  centerX,
-                  centerY,
-                  radius,
-                  ringCount,
-                )
-              : _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
-        }
-
-        return DetectedImpactResult(
-          x: impact.x,
-          y: impact.y,
-          radius: impact.radius,
-          suggestedScore: score,
-        );
-      }).toList();
-    } catch (e) {
-      print('Erreur détection YOLOv8: $e');
-      return [];
-    }
-  }
 }