17 Commits

Author SHA1 Message Date
qguillaume
8946955f76 feat: passage du filtre date à une sélection de période (DateRange) dans l'historique 2026-05-06 23:17:22 +02:00
qguillaume
be62669d56 feat: intégration de la vue validation image (20) 2026-05-06 23:05:13 +02:00
qguillaume
db6dd0cee5 feat: refonte des statistiques (00C) et correction ergonomique de la capture (10C) 2026-05-06 22:39:30 +02:00
qguillaume
d98f54cf93 Ajout de la gestion des permissions photos et configuration native Android/iOS 2026-05-05 18:05:49 +02:00
qguillaume
55f6210c97 feat: change titre et ajout nettoyer objectif dans capture screen 2026-05-05 16:53:29 +02:00
qguillaume
8d9b35104a Fix: Intégration du DatePicker français et mise à jour des dépendances SDK 2026-05-05 16:36:14 +02:00
qguillaume
5cc67228e4 MAJ0.1 accueil et historique 2026-05-03 16:46:05 +02:00
streaper2
105eb1cab0 correction suppression modele yolo 2026-04-29 10:12:29 +02:00
streaper2
fba3b41f2f desactivation de tous les scripts et ia, supression du modele yolo 2026-04-28 16:52:20 +02:00
streaper2
e32833e366 preparation du modele yolo 2026-03-12 22:03:40 +01:00
streaper2
d4cb179fde correction du centrage des vecteurs de zone (cercle) pour le plotting 2026-02-21 10:22:18 +01:00
streaper2
2e81f4b69e Merge branch 'temp-fix'
detached branch a merge pour récupérer le travail
2026-02-15 22:21:31 +01:00
streaper2
de677aad7e désactivation autocalibration, et correction de distortion dans l'écran de calibration 2026-02-15 22:07:35 +01:00
streaper2
723900b860 Autocalibration de la cible sur le centre de la cible ok + petite correction de la distortion mais pas tres fonctionnel 2026-02-15 09:49:48 +01:00
streaper2
f78184d2cd nettoyage du code avec cunning 2026-02-14 22:33:35 +01:00
streaper2
7e55c52ae7 implementation de cunning pour scanner l'image et la redresser 2026-02-13 22:18:35 +01:00
streaper2
049f77ac6d ajout doc interne a l'appli 2026-02-06 13:40:01 +01:00
40 changed files with 2574 additions and 1464 deletions

4
.vscode/settings.json vendored Normal file
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@@ -0,0 +1,4 @@
{
"avdmanager.executable": "c:\\Users\\streaper2\\AppData\\Local\\Android\\Sdk\\cmdline-tools\\latest\\bin\\avdmanager.bat",
"avdmanager.sdkManager": "c:\\Users\\streaper2\\AppData\\Local\\Android\\Sdk\\cmdline-tools\\latest\\bin\\sdkmanager.bat"
}

31
analyze_log.txt Normal file
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Analyzing bully...
info - Statements in an if should be enclosed in a block - lib\features\analysis\analysis_screen.dart:122:17 - curly_braces_in_flow_control_structures
info - 'withOpacity' is deprecated and shouldn't be used. Use .withValues() to avoid precision loss - lib\features\analysis\analysis_screen.dart:650:51 - deprecated_member_use
warning - The declaration '_showAddShotHint' isn't referenced - lib\features\analysis\analysis_screen.dart:1083:8 - unused_element
warning - The declaration '_showAutoDetectDialog' isn't referenced - lib\features\analysis\analysis_screen.dart:1120:8 - unused_element
warning - Unused import: 'widgets/target_type_selector.dart' - lib\features\capture\capture_screen.dart:16:8 - unused_import
info - The private field _selectedType could be 'final' - lib\features\capture\capture_screen.dart:28:14 - prefer_final_fields
info - 'scale' is deprecated and shouldn't be used. Use scaleByVector3, scaleByVector4, or scaleByDouble instead - lib\features\crop\crop_screen.dart:141:25 - deprecated_member_use
info - The import of 'package:flutter/foundation.dart' is unnecessary because all of the used elements are also provided by the import of 'package:flutter/material.dart' - lib\features\statistics\statistics_screen.dart:8:8 - unnecessary_import
warning - The declaration '_buildLegendItem' isn't referenced - lib\features\statistics\statistics_screen.dart:309:10 - unused_element
info - Unnecessary use of string interpolation - lib\features\statistics\statistics_screen.dart:408:15 - unnecessary_string_interpolations
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:192:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:239:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:246:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:278:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:289:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:292:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:297:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:332:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:336:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:683:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:104:5 - avoid_print
info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:116:5 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:297:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:342:7 - avoid_print
27 issues found. (ran in 1.9s)

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analyze_opencv.txt Normal file

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analyze_output.txt Normal file

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analyze_results_final.txt Normal file

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analyze_results_fixed.txt Normal file
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Analyzing bully...
info - Don't invoke 'print' in production code - lib\features\analysis\analysis_provider.dart:553:7 - avoid_print
info - The private field _selectedType could be 'final' - lib\features\capture\capture_screen.dart:27:14 - prefer_final_fields
info - 'scale' is deprecated and shouldn't be used. Use scaleByVector3, scaleByVector4, or scaleByDouble instead - lib\features\crop\crop_screen.dart:142:25 - deprecated_member_use
info - Statements in an if should be enclosed in a block - lib\services\distortion_correction_service.dart:566:11 - curly_braces_in_flow_control_structures
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:639:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:764:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:825:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:953:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1015:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1063:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:192:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:239:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:246:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:278:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:289:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:292:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:297:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:332:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:336:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:683:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:328:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:377:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:414:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:23:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:29:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:31:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:67:7 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:4:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:5:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:6:3 - avoid_print
info - Don't invoke 'print' in production code - tests\test_homography.dart:4:3 - avoid_print

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analyze_utf8.txt Normal file
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@@ -0,0 +1,38 @@
Analyzing bully...
info - Don't invoke 'print' in production code - lib\features\analysis\analysis_provider.dart:392:7 - avoid_print
info - Don't invoke 'print' in production code - lib\features\analysis\analysis_provider.dart:596:7 - avoid_print
info - The private field _selectedType could be 'final' - lib\features\capture\capture_screen.dart:27:14 - prefer_final_fields
info - 'scale' is deprecated and shouldn't be used. Use scaleByVector3, scaleByVector4, or scaleByDouble instead - lib\features\crop\crop_screen.dart:142:25 - deprecated_member_use
info - Statements in an if should be enclosed in a block - lib\services\distortion_correction_service.dart:566:11 - curly_braces_in_flow_control_structures
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:639:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:764:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:825:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:953:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1015:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1063:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:192:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:239:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:246:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:278:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:289:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:292:11 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:297:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:332:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:336:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:683:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:328:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:377:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:414:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:23:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:29:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:31:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:67:7 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:4:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:5:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:6:3 - avoid_print
info - Don't invoke 'print' in production code - tests\test_homography.dart:4:3 - avoid_print

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@@ -35,6 +35,7 @@ android {
// 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")
proguardFiles(getDefaultProguardFile("proguard-android-optimize.txt"), "proguard-rules.pro")
}
}
}

7
android/app/proguard-rules.pro vendored Normal file
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@@ -0,0 +1,7 @@
# TensorFlow Lite
-keep class org.tensorflow.lite.** { *; }
-keep class com.google.android.gms.tflite.** { *; }
-dontwarn org.tensorflow.lite.**
# Specifically for the GPU delegate error
-dontwarn org.tensorflow.lite.gpu.GpuDelegateFactory$Options

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@@ -1,4 +1,11 @@
<manifest xmlns:android="http://schemas.android.com/apk/res/android">
<uses-permission android:name="android.permission.CAMERA" />
<!-- Pour Android 12 et inférieur -->
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" android:maxSdkVersion="32" />
<!-- Pour Android 13 et supérieur -->
<uses-permission android:name="android.permission.READ_MEDIA_IMAGES" />
<application
android:label="bully"
android:name="${applicationName}"

20
build_log.txt Normal file
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@@ -0,0 +1,20 @@
Running Gradle task 'assembleDebug'...
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':app:processDebugResources'.
> A failure occurred while executing com.android.build.gradle.internal.res.LinkApplicationAndroidResourcesTask$TaskAction
> Android resource linking failed
ERROR: C:\Users\streaper2\Documents\00 - projet\bully\build\cunning_document_scanner\intermediates\merged_manifest\debug\processDebugManifest\AndroidManifest.xml:9:5-65: AAPT: error: unexpected element <uses-permission> found in <manifest><application>.
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
> Get more help at https://help.gradle.org.
BUILD FAILED in 5s
Running Gradle task 'assembleDebug'... 5,4s
Gradle task assembleDebug failed with exit code 1

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docs/README.md Normal file
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@@ -0,0 +1,26 @@
# Documentation du Projet Bully
Bienvenue dans la documentation développeur de l'application **Bully**.
Ce projet est une application Flutter d'analyse de cibles de tir (Impact Detection).
## Architecture
Le code source est organisé dans le dossier `lib/` selon les couches suivantes :
- **Features (`lib/features`)** : Contient les écrans et la logique UI (Vues/Pages). C'est ici que réside l'interface utilisateur.
- **Services (`lib/services`)** : Services "métier" et utilitaires (traitement d'image, calculs, etc.). Indépendant de l'UI.
- **Data (`lib/data`)** : Gestion des données (Modèles, Base de données locale, Repositories).
## Sections de la Documentation
Pour plus de détails sur chaque partie, consultez les sections dédiées :
- 🏗️ **[Services (Logique Métier)](services/README.md)** : Documentation des services comme le traitement d'image et le calcul de score.
- 📱 **[Vues & Features (UI)](features/README.md)** : Documentation des écrans principaux (ex: Analyse).
- 💾 **[Base de Données & Modèles](data/README.md)** : Structure des données et persistance.
## Pour commencer
1. Assurez-vous d'avoir Flutter installé.
2. Lancez `flutter run` pour démarrer l'application.

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docs/data/README.md Normal file
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@@ -0,0 +1,17 @@
# Data & Persistance
Cette couche gère la sauvegarde et la récupération des données.
## Base de Données
L'application utilise une base de données locale (probablement SQLite/Drift ou Hive, à vérifier dans `lib/data/database`).
## Modèles (`lib/data/models`)
Les classes représentant les objets métier persistés.
Exemples probables :
- `Session` : Une session de tir.
- `Impact` : Un impact de balle sur la cible.
- `Target` : Configuration d'une cible.
## Repositories (`lib/data/repositories`)
Le pattern Repository est utilisé pour abstraire la source de données (DB locale, API distante, etc.) du reste de l'application.

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docs/features/README.md Normal file
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@@ -0,0 +1,17 @@
# Features & Vues
Cette section documente les écrans principaux de l'application et leur organisation.
## Écrans Principaux
### Analysis (`lib/features/analysis`)
C'est le cœur de l'application. Il permet à l'utilisateur de prendre une photo ou choisir une image pour analyser les impacts.
- **AnalysisScreen** (`analysis_screen.dart`): L'écran principal qui orchestre la capture et l'affichage des résultats.
- **AnalysisProvider** (`analysis_provider.dart`): Gestionnaire d'état (State Management) pour cet écran. Il fait le pont entre la vue et les services.
## Structure d'une Feature
Chaque feature est généralement composée de :
- `_screen.dart` : Le Widget de la page.
- `_provider.dart` : La logique d'état (ChangeNotifier, Bloc, etc.).
- `widgets/` : Widgets spécifiques à cette feature.

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@@ -0,0 +1,20 @@
# Services
Les services contiennent la logique métier de l'application, isolée de l'interface utilisateur.
## Liste des Services Principaux
| Service | Description | Fichier |
| :--- | :--- | :--- |
| **ImageProcessingService** | Gère le traitement lourd des images (filtres, détection). | `lib/services/image_processing_service.dart` |
| **DistortionCorrection** | Corrige la distorsion de perspective des cibles. | `lib/services/distortion_correction_service.dart` |
| **ScoreCalculator** | Calcule le score en fonction des impacts détectés. | `lib/services/score_calculator_service.dart` |
| **StatisticsService** | Génère des statistiques sur les sessions de tir. | `lib/services/statistics_service.dart` |
## Exemple d'utilisation (Fictif)
```dart
// Exemple d'appel au service de calcul de score
final calculator = ScoreCalculatorService();
final score = calculator.calculate(impacts);
```

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@@ -2,6 +2,13 @@
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<dict>
<key>NSPhotoLibraryUsageDescription</key>
<string>Bully a besoin d'accéder à vos photos pour analyser vos cibles enregistrées.</string>
<key>NSCameraUsageDescription</key>
<string>Bully a besoin d'utiliser l'appareil photo pour scanner vos cibles en temps réel.</string>
<key>NSMicrophoneUsageDescription</key>
<string>Bully a besoin d'accéder au micro (requis par certains services de caméra même si non utilisé).</string>
<key>CADisableMinimumFrameDurationOnPhone</key>
<true/>
<key>CFBundleDevelopmentRegion</key>

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@@ -1,6 +1,7 @@
import 'package:flutter/material.dart';
import 'core/theme/app_theme.dart';
import 'features/home/home_screen.dart';
import 'package:flutter_localizations/flutter_localizations.dart';
class BullyApp extends StatelessWidget {
const BullyApp({super.key});
@@ -13,6 +14,16 @@ class BullyApp extends StatelessWidget {
theme: AppTheme.lightTheme,
darkTheme: AppTheme.darkTheme,
themeMode: ThemeMode.system,
localizationsDelegates: const [
GlobalMaterialLocalizations.delegate,
GlobalWidgetsLocalizations.delegate,
GlobalCupertinoLocalizations.delegate,
],
supportedLocales: const [
Locale('fr', 'FR'), // Français
],
locale: const Locale('fr', 'FR'), // Force l'interface en français
home: const HomeScreen(),
);
}

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@@ -17,6 +17,7 @@ import '../../services/target_detection_service.dart';
import '../../services/score_calculator_service.dart';
import '../../services/grouping_analyzer_service.dart';
import '../../services/distortion_correction_service.dart';
import '../../services/opencv_target_service.dart';
enum AnalysisState { initial, loading, success, error }
@@ -26,6 +27,7 @@ class AnalysisProvider extends ChangeNotifier {
final GroupingAnalyzerService _groupingAnalyzerService;
final SessionRepository _sessionRepository;
final DistortionCorrectionService _distortionService;
final OpenCVTargetService _opencvTargetService;
final Uuid _uuid = const Uuid();
AnalysisProvider({
@@ -34,11 +36,13 @@ class AnalysisProvider extends ChangeNotifier {
required GroupingAnalyzerService groupingAnalyzerService,
required SessionRepository sessionRepository,
DistortionCorrectionService? distortionService,
OpenCVTargetService? opencvTargetService,
}) : _detectionService = detectionService,
_scoreCalculatorService = scoreCalculatorService,
_groupingAnalyzerService = groupingAnalyzerService,
_sessionRepository = sessionRepository,
_distortionService = distortionService ?? DistortionCorrectionService();
_distortionService = distortionService ?? DistortionCorrectionService(),
_opencvTargetService = opencvTargetService ?? OpenCVTargetService();
AnalysisState _state = AnalysisState.initial;
String? _errorMessage;
@@ -49,6 +53,7 @@ class AnalysisProvider extends ChangeNotifier {
double _targetCenterX = 0.5;
double _targetCenterY = 0.5;
double _targetRadius = 0.4;
double _targetInnerRadius = 0.04;
int _ringCount = 10;
List<double>? _ringRadii; // Individual ring radii multipliers
double _imageAspectRatio = 1.0; // width / height
@@ -79,6 +84,7 @@ class AnalysisProvider extends ChangeNotifier {
double get targetCenterX => _targetCenterX;
double get targetCenterY => _targetCenterY;
double get targetRadius => _targetRadius;
double get targetInnerRadius => _targetInnerRadius;
int get ringCount => _ringCount;
List<double>? get ringRadii =>
_ringRadii != null ? List.unmodifiable(_ringRadii!) : null;
@@ -134,6 +140,7 @@ class AnalysisProvider extends ChangeNotifier {
_targetCenterX = 0.5;
_targetCenterY = 0.5;
_targetRadius = 0.4;
_targetInnerRadius = 0.04;
// Initialize empty shots list
_shots = [];
@@ -156,6 +163,7 @@ class AnalysisProvider extends ChangeNotifier {
_targetCenterX = result.centerX;
_targetCenterY = result.centerY;
_targetRadius = result.radius;
_targetInnerRadius = result.radius * 0.1;
// Create shots from detected impacts
_shots = result.impacts.map((impact) {
@@ -215,6 +223,16 @@ class AnalysisProvider extends ChangeNotifier {
notifyListeners();
}
/// Update a shot's score manually
void updateShotScore(String shotId, int newScore) {
final index = _shots.indexWhere((shot) => shot.id == shotId);
if (index == -1) return;
_shots[index] = _shots[index].copyWith(score: newScore);
_recalculateScores();
notifyListeners();
}
/// Auto-detect impacts using image processing
Future<int> autoDetectImpacts({
int darkThreshold = 80,
@@ -285,6 +303,8 @@ class AnalysisProvider extends ChangeNotifier {
double param2 = 30,
int minRadius = 5,
int maxRadius = 50,
int minSize = 5,
int maxSize = 1000,
int blurSize = 5,
bool useContourDetection = true,
double minCircularity = 0.6,
@@ -484,12 +504,14 @@ class AnalysisProvider extends ChangeNotifier {
void adjustTargetPosition(
double centerX,
double centerY,
double innerRadius,
double radius, {
int? ringCount,
List<double>? ringRadii,
}) {
_targetCenterX = centerX;
_targetCenterY = centerY;
_targetInnerRadius = innerRadius;
_targetRadius = radius;
if (ringCount != null) {
_ringCount = ringCount;
@@ -508,6 +530,43 @@ class AnalysisProvider extends ChangeNotifier {
notifyListeners();
}
/// Auto-calibrate target using OpenCV
Future<bool> autoCalibrateTarget() async {
if (_imagePath == null) return false;
try {
// 1. Attempt to correct perspective/distortion first
final correctedPath = await _distortionService
.correctPerspectiveWithConcentricMesh(_imagePath!);
if (correctedPath != _imagePath) {
_imagePath = correctedPath;
_correctedImagePath = correctedPath;
_distortionCorrectionEnabled = true;
_imageAspectRatio =
1.0; // The corrected image is always square (side x side)
notifyListeners();
}
// 2. Detect the target on the straight/corrected image
final result = await _opencvTargetService.detectTarget(_imagePath!);
if (result.success) {
adjustTargetPosition(
result.centerX,
result.centerY,
result.radius * 0.1,
result.radius,
);
return true;
}
return false;
} catch (e) {
print('Auto-calibration error: $e');
return false;
}
}
/// Calcule les paramètres de distorsion basés sur la calibration actuelle
void calculateDistortion() {
_distortionParams = _distortionService.calculateDistortionFromCalibration(
@@ -665,6 +724,7 @@ class AnalysisProvider extends ChangeNotifier {
_targetCenterX = 0.5;
_targetCenterY = 0.5;
_targetRadius = 0.4;
_targetInnerRadius = 0.04;
_ringCount = 10;
_ringRadii = null;
_imageAspectRatio = 1.0;

View File

@@ -118,8 +118,9 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
actions: [
Consumer<AnalysisProvider>(
builder: (context, provider, _) {
if (provider.state != AnalysisState.success)
if (provider.state != AnalysisState.success) {
return const SizedBox.shrink();
}
return IconButton(
icon: Icon(_isCalibrating ? Icons.check : Icons.tune),
onPressed: () {
@@ -273,6 +274,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
child: Column(
children: [
// Ring count slider
Row(
children: [
@@ -298,6 +300,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
provider.adjustTargetPosition(
provider.targetCenterX,
provider.targetCenterY,
provider.targetInnerRadius,
provider.targetRadius,
ringCount: value.round(),
);
@@ -323,59 +326,9 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
],
),
// Target size slider
Row(
children: [
const Icon(
Icons.zoom_out_map,
color: Colors.white,
size: 20,
),
const SizedBox(width: 8),
const Text(
'Taille:',
style: TextStyle(color: Colors.white),
),
Expanded(
child: Slider(
value: provider.targetRadius.clamp(0.05, 3.0),
min: 0.05,
max: 3.0,
label:
'${(provider.targetRadius * 100).toStringAsFixed(0)}%',
activeColor: AppTheme.warningColor,
onChanged: (value) {
provider.adjustTargetPosition(
provider.targetCenterX,
provider.targetCenterY,
value,
ringCount: provider.ringCount,
);
},
),
),
Container(
padding: const EdgeInsets.symmetric(
horizontal: 12,
vertical: 4,
),
decoration: BoxDecoration(
color: AppTheme.warningColor,
borderRadius: BorderRadius.circular(12),
),
child: Text(
'${(provider.targetRadius * 100).toStringAsFixed(0)}%',
style: const TextStyle(
color: Colors.white,
fontWeight: FontWeight.bold,
),
),
),
],
),
const Divider(color: Colors.white24, height: 16),
// Distortion correction row
Row(
/*Row(
children: [
const Icon(
Icons.lens_blur,
@@ -440,19 +393,19 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
),
const SizedBox(width: 8),
Switch(
/*Switch(
value: provider.distortionCorrectionEnabled,
onChanged: (value) => provider
.setDistortionCorrectionEnabled(value),
activeTrackColor: AppTheme.primaryColor
.withValues(alpha: 0.5),
activeThumbColor: AppTheme.primaryColor,
),
),*/
],
),
],
],
),
),*/
],
),
),
@@ -472,6 +425,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
initialCenterX: provider.targetCenterX,
initialCenterY: provider.targetCenterY,
initialRadius: provider.targetRadius,
initialInnerRadius: provider.targetInnerRadius,
initialRingCount: provider.ringCount,
initialRingRadii: provider.ringRadii,
targetType: provider.targetType!,
@@ -479,6 +433,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
(
centerX,
centerY,
innerRadius,
radius,
ringCount, {
List<double>? ringRadii,
@@ -486,6 +441,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
provider.adjustTargetPosition(
centerX,
centerY,
innerRadius,
radius,
ringCount: ringCount,
ringRadii: ringRadii,
@@ -647,7 +603,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
boxShadow: [
if (!_isAtBottom)
BoxShadow(
color: Colors.black.withOpacity(0.2),
color: Colors.black.withValues(alpha: 0.2),
blurRadius: 6,
offset: const Offset(0, 3),
),
@@ -725,6 +681,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
// Overlay qui se transforme avec l'image
TargetOverlay(
showRings: true,
shots: provider.shots,
targetCenterX: provider.targetCenterX,
targetCenterY: provider.targetCenterY,
@@ -811,6 +768,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
// Overlay qui se transforme avec l'image
TargetOverlay(
showRings: true,
shots: provider.shots,
targetCenterX: provider.targetCenterX,
targetCenterY: provider.targetCenterY,
@@ -923,107 +881,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
}
Widget _buildActionButtons(BuildContext context, AnalysisProvider provider) {
return Column(
children: [
// Reference-based detection section
if (_isSelectingReferences) ...[
Card(
color: Colors.deepPurple.withValues(alpha: 0.1),
child: Padding(
padding: const EdgeInsets.all(12),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
const Icon(Icons.touch_app, color: Colors.deepPurple),
const SizedBox(width: 8),
Text(
'${provider.referenceImpacts.length} reference(s) selectionnee(s)',
style: const TextStyle(fontWeight: FontWeight.bold),
),
],
),
const SizedBox(height: 8),
const Text(
'Touchez l\'image pour marquer 3-4 impacts de reference. '
'L\'algorithme apprendra leurs caracteristiques pour detecter les autres.',
style: TextStyle(fontSize: 12, color: Colors.grey),
),
const SizedBox(height: 12),
Row(
children: [
Expanded(
child: OutlinedButton(
onPressed: () {
setState(() => _isSelectingReferences = false);
provider.clearReferenceImpacts();
},
child: const Text('Annuler'),
),
),
const SizedBox(width: 12),
Expanded(
child: ElevatedButton.icon(
onPressed: provider.referenceImpacts.length >= 2
? () => _showCalibratedDetectionDialog(
context,
provider,
)
: null,
icon: const Icon(Icons.auto_fix_high),
label: const Text('Detecter'),
style: ElevatedButton.styleFrom(
backgroundColor: Colors.deepPurple,
foregroundColor: Colors.white,
),
),
),
],
),
],
),
),
),
const SizedBox(height: 12),
] else ...[
// désactiver le temps de l'amelioration du scripts d'auto-detection
// Auto-detect buttons row
// Row(
// children: [
// Expanded(
// child: ElevatedButton.icon(
// onPressed: () => _showAutoDetectDialog(context, provider),
// icon: const Icon(Icons.auto_fix_high),
// label: const Text('Auto-Detection'),
// style: ElevatedButton.styleFrom(
// backgroundColor: AppTheme.primaryColor,
// foregroundColor: Colors.white,
// padding: const EdgeInsets.symmetric(vertical: 12),
// ),
// ),
// ),
// const SizedBox(width: 12),
// Expanded(
// child: ElevatedButton.icon(
// onPressed: () => setState(() => _isSelectingReferences = true),
// icon: const Icon(Icons.touch_app),
// label: const Text('Par Reference'),
// style: ElevatedButton.styleFrom(
// backgroundColor: Colors.deepPurple,
// foregroundColor: Colors.white,
// padding: const EdgeInsets.symmetric(vertical: 12),
// ),
// ),
// ),
// ],
// ),
const SizedBox(height: 12),
],
// Manual actions
],
);
return const SizedBox.shrink();
}
void _showHelpDialog(BuildContext context) {
@@ -1061,25 +919,73 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
AnalysisProvider provider,
String shotId,
) {
final shot = provider.shots.firstWhere((s) => s.id == shotId);
showModalBottomSheet(
context: context,
shape: const RoundedRectangleBorder(
borderRadius: BorderRadius.vertical(top: Radius.circular(20)),
),
builder: (context) => SafeArea(
child: Wrap(
child: Padding(
padding: const EdgeInsets.all(20.0),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
ListTile(
leading: const Icon(Icons.delete, color: AppTheme.errorColor),
title: const Text('Supprimer cet impact'),
onTap: () {
provider.removeShot(shotId);
Text(
'Modifier l\'impact',
style: Theme.of(context).textTheme.titleLarge,
),
const SizedBox(height: 20),
// Dropdown for score
Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
const Text('Valeur de l\'impact : ', style: TextStyle(fontSize: 16)),
const SizedBox(width: 10),
DropdownButton<int>(
value: shot.score.clamp(0, 10),
items: List.generate(11, (i) => i).map((i) {
return DropdownMenuItem<int>(
value: i,
child: Text(i == 10 && provider.targetType == TargetType.concentric ? '10 (X)' : '$i'),
);
}).toList(),
onChanged: (newScore) {
if (newScore != null) {
provider.updateShotScore(shotId, newScore);
Navigator.pop(context);
}
},
),
],
),
const SizedBox(height: 20),
// Delete button at the bottom
SizedBox(
width: double.infinity,
child: ElevatedButton.icon(
onPressed: () {
provider.removeShot(shotId);
Navigator.pop(context);
},
icon: const Icon(Icons.delete),
label: const Text('SUPPRIMER L\'IMPACT'),
style: ElevatedButton.styleFrom(
backgroundColor: AppTheme.errorColor,
foregroundColor: Colors.white,
padding: const EdgeInsets.symmetric(vertical: 12),
),
),
),
],
),
),
),
);
}
/*
void _showAddShotHint(BuildContext context) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(
@@ -1088,6 +994,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
),
);
}
*/
void _showClearConfirmation(BuildContext context, AnalysisProvider provider) {
showDialog(
@@ -1117,6 +1024,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
);
}
void _showAutoDetectDialog(BuildContext context, AnalysisProvider provider) {
// Detection settings
bool clearExisting = true;
@@ -1126,9 +1034,6 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
int maxImpactSize = 500;
double minFillRatio = 0.5;
// NOTE: OpenCV désactivé - problèmes de build Windows
// Utilisation de la détection classique uniquement
showDialog(
context: context,
builder: (context) => StatefulBuilder(
@@ -1145,11 +1050,12 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
mainAxisSize: MainAxisSize.min,
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text(
'Ajustez les parametres de detection:',
'Détection Classique (Paramétrable):',
style: TextStyle(fontWeight: FontWeight.bold),
),
const SizedBox(height: 16),
const SizedBox(height: 8),
// Dark threshold slider
Text('Seuil de detection (zones sombres): $darkThreshold'),
@@ -1308,7 +1214,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
}
},
icon: const Icon(Icons.search),
label: const Text('Detecter'),
label: const Text('Détecter (Classique)'),
),
],
),

View File

@@ -13,16 +13,26 @@ class TargetCalibration extends StatefulWidget {
final double initialCenterX;
final double initialCenterY;
final double initialRadius;
final double initialInnerRadius;
final int initialRingCount;
final TargetType targetType;
final List<double>? initialRingRadii;
final Function(double centerX, double centerY, double radius, int ringCount, {List<double>? ringRadii}) onCalibrationChanged;
final Function(
double centerX,
double centerY,
double innerRadius,
double radius,
int ringCount, {
List<double>? ringRadii,
})
onCalibrationChanged;
const TargetCalibration({
super.key,
required this.initialCenterX,
required this.initialCenterY,
required this.initialRadius,
required this.initialInnerRadius,
this.initialRingCount = 10,
required this.targetType,
this.initialRingRadii,
@@ -37,11 +47,13 @@ class _TargetCalibrationState extends State<TargetCalibration> {
late double _centerX;
late double _centerY;
late double _radius;
late double _innerRadius;
late int _ringCount;
late List<double> _ringRadii;
bool _isDraggingCenter = false;
bool _isDraggingRadius = false;
bool _isDraggingInnerRadius = false;
@override
void initState() {
@@ -49,28 +61,57 @@ class _TargetCalibrationState extends State<TargetCalibration> {
_centerX = widget.initialCenterX;
_centerY = widget.initialCenterY;
_radius = widget.initialRadius;
_innerRadius = widget.initialInnerRadius;
_ringCount = widget.initialRingCount;
_initRingRadii();
}
void _initRingRadii() {
if (widget.initialRingRadii != null && widget.initialRingRadii!.length == _ringCount) {
if (widget.initialRingRadii != null &&
widget.initialRingRadii!.length == _ringCount) {
_ringRadii = List.from(widget.initialRingRadii!);
} else {
// Initialize with default proportional radii
_ringRadii = List.generate(_ringCount, (i) => (i + 1) / _ringCount);
// Initialize with default proportional radii interpolated between inner and outer
_ringRadii = List.generate(_ringCount, (i) {
if (_ringCount <= 1) return 1.0;
final ratio = _innerRadius / _radius;
return ratio + (1.0 - ratio) * i / (_ringCount - 1);
});
}
}
@override
void didUpdateWidget(TargetCalibration oldWidget) {
super.didUpdateWidget(oldWidget);
bool shouldReinit = false;
if (widget.initialCenterX != oldWidget.initialCenterX &&
!_isDraggingCenter) {
_centerX = widget.initialCenterX;
}
if (widget.initialCenterY != oldWidget.initialCenterY &&
!_isDraggingCenter) {
_centerY = widget.initialCenterY;
}
if (widget.initialRingCount != oldWidget.initialRingCount) {
_ringCount = widget.initialRingCount;
_initRingRadii();
shouldReinit = true;
}
if (widget.initialRadius != oldWidget.initialRadius && !_isDraggingRadius) {
_radius = widget.initialRadius;
shouldReinit = true;
}
if (widget.initialInnerRadius != oldWidget.initialInnerRadius &&
!_isDraggingInnerRadius) {
_innerRadius = widget.initialInnerRadius;
shouldReinit = true;
}
if (widget.initialRingRadii != oldWidget.initialRingRadii) {
shouldReinit = true;
}
if (shouldReinit) {
_initRingRadii();
}
}
@@ -90,11 +131,13 @@ class _TargetCalibrationState extends State<TargetCalibration> {
centerX: _centerX,
centerY: _centerY,
radius: _radius,
innerRadius: _innerRadius,
ringCount: _ringCount,
ringRadii: _ringRadii,
targetType: widget.targetType,
isDraggingCenter: _isDraggingCenter,
isDraggingRadius: _isDraggingRadius,
isDraggingInnerRadius: _isDraggingInnerRadius,
),
),
);
@@ -109,21 +152,42 @@ class _TargetCalibrationState extends State<TargetCalibration> {
// Check if tapping on center handle
final distToCenter = _distance(tapX, tapY, _centerX, _centerY);
// Check if tapping on radius handle (on the right edge of the outermost circle)
// Check if tapping on outer radius handle
final minDim = math.min(size.width, size.height);
final outerRadius = _radius * (_ringRadii.isNotEmpty ? _ringRadii.last : 1.0);
final outerRadius = _radius;
final radiusHandleX = _centerX + outerRadius * minDim / size.width;
final radiusHandleY = _centerY;
final distToRadiusHandle = _distance(tapX, tapY, radiusHandleX.clamp(0.0, 1.0), radiusHandleY.clamp(0.0, 1.0));
final distToOuterHandle = _distance(
tapX,
tapY,
radiusHandleX.clamp(0.0, 1.0),
radiusHandleY.clamp(0.0, 1.0),
);
// Check if tapping on inner radius handle (top edge of innermost circle)
final actualInnerRadius = _innerRadius;
final innerHandleX = _centerX;
final innerHandleY = _centerY - actualInnerRadius * minDim / size.height;
final distToInnerHandle = _distance(
tapX,
tapY,
innerHandleX.clamp(0.0, 1.0),
innerHandleY.clamp(0.0, 1.0),
);
// Increase touch target size slightly for handles
if (distToCenter < 0.05) {
setState(() {
_isDraggingCenter = true;
});
} else if (distToRadiusHandle < 0.05) {
} else if (distToOuterHandle < 0.05) {
setState(() {
_isDraggingRadius = true;
});
} else if (distToInnerHandle < 0.05) {
setState(() {
_isDraggingInnerRadius = true;
});
} else if (distToCenter < _radius + 0.02) {
// Tapping inside the target - move center
setState(() {
@@ -143,19 +207,36 @@ class _TargetCalibrationState extends State<TargetCalibration> {
_centerX = _centerX + deltaX;
_centerY = _centerY + deltaY;
} else if (_isDraggingRadius) {
// Adjust outer radius (scales all rings proportionally)
// Adjust outer radius
final newRadius = _radius + deltaX * (size.width / minDim);
_radius = newRadius.clamp(0.05, 3.0);
_radius = newRadius.clamp(math.max(0.05, _innerRadius + 0.01), 3.0);
_initRingRadii(); // Recalculate linear separation
} else if (_isDraggingInnerRadius) {
// Adjust inner radius (sliding up reduces Y, so deltaY is negative when growing. Thus we subtract deltaY)
final newInnerRadius = _innerRadius - deltaY * (size.height / minDim);
_innerRadius = newInnerRadius.clamp(
0.01,
math.max(0.01, _radius - 0.01),
);
_initRingRadii(); // Recalculate linear separation
}
});
widget.onCalibrationChanged(_centerX, _centerY, _radius, _ringCount, ringRadii: _ringRadii);
widget.onCalibrationChanged(
_centerX,
_centerY,
_innerRadius,
_radius,
_ringCount,
ringRadii: _ringRadii,
);
}
void _onPanEnd() {
setState(() {
_isDraggingCenter = false;
_isDraggingRadius = false;
_isDraggingInnerRadius = false;
});
}
@@ -170,21 +251,25 @@ class _CalibrationPainter extends CustomPainter {
final double centerX;
final double centerY;
final double radius;
final double innerRadius;
final int ringCount;
final List<double> ringRadii;
final TargetType targetType;
final bool isDraggingCenter;
final bool isDraggingRadius;
final bool isDraggingInnerRadius;
_CalibrationPainter({
required this.centerX,
required this.centerY,
required this.radius,
required this.innerRadius,
required this.ringCount,
required this.ringRadii,
required this.targetType,
required this.isDraggingCenter,
required this.isDraggingRadius,
required this.isDraggingInnerRadius,
});
@override
@@ -192,6 +277,7 @@ class _CalibrationPainter extends CustomPainter {
final centerPx = Offset(centerX * size.width, centerY * size.height);
final minDim = size.width < size.height ? size.width : size.height;
final baseRadiusPx = radius * minDim;
final innerRadiusPx = innerRadius * minDim;
if (targetType == TargetType.concentric) {
_drawConcentricZones(canvas, size, centerPx, baseRadiusPx);
@@ -199,17 +285,42 @@ class _CalibrationPainter extends CustomPainter {
_drawSilhouetteZones(canvas, size, centerPx, baseRadiusPx);
}
// Fullscreen crosshairs when dragging center
if (isDraggingCenter) {
final crosshairLinePaint = Paint()
..color = AppTheme.successColor.withValues(alpha: 0.5)
..strokeWidth = 1;
canvas.drawLine(
Offset(0, centerPx.dy),
Offset(size.width, centerPx.dy),
crosshairLinePaint,
);
canvas.drawLine(
Offset(centerPx.dx, 0),
Offset(centerPx.dx, size.height),
crosshairLinePaint,
);
}
// Draw center handle
_drawCenterHandle(canvas, centerPx);
// Draw radius handle (for outer ring)
_drawRadiusHandle(canvas, size, centerPx, baseRadiusPx);
// Draw inner radius handle
_drawInnerRadiusHandle(canvas, size, centerPx, innerRadiusPx);
// Draw instructions
_drawInstructions(canvas, size);
}
void _drawConcentricZones(Canvas canvas, Size size, Offset center, double baseRadius) {
void _drawConcentricZones(
Canvas canvas,
Size size,
Offset center,
double baseRadius,
) {
// Generate colors for zones
List<Color> zoneColors = [];
for (int i = 0; i < ringCount; i++) {
@@ -235,7 +346,9 @@ class _CalibrationPainter extends CustomPainter {
// Draw from outside to inside
for (int i = ringCount - 1; i >= 0; i--) {
final ringRadius = ringRadii.length > i ? ringRadii[i] : (i + 1) / ringCount;
final ringRadius = ringRadii.length > i
? ringRadii[i]
: (i + 1) / ringCount;
final zoneRadius = baseRadius * ringRadius;
zonePaint.color = zoneColors[i];
@@ -244,12 +357,12 @@ class _CalibrationPainter extends CustomPainter {
}
// Draw zone labels (only if within visible area)
final textPainter = TextPainter(
textDirection: TextDirection.ltr,
);
final textPainter = TextPainter(textDirection: TextDirection.ltr);
for (int i = 0; i < ringCount; i++) {
final ringRadius = ringRadii.length > i ? ringRadii[i] : (i + 1) / ringCount;
final ringRadius = ringRadii.length > i
? ringRadii[i]
: (i + 1) / ringCount;
final prevRingRadius = i > 0
? (ringRadii.length > i - 1 ? ringRadii[i - 1] : i / ringCount)
: 0.0;
@@ -268,9 +381,7 @@ class _CalibrationPainter extends CustomPainter {
color: Colors.white.withValues(alpha: 0.9),
fontSize: 12,
fontWeight: FontWeight.bold,
shadows: const [
Shadow(color: Colors.black, blurRadius: 2),
],
shadows: const [Shadow(color: Colors.black, blurRadius: 2)],
),
);
textPainter.layout();
@@ -278,14 +389,24 @@ class _CalibrationPainter extends CustomPainter {
// Draw label on the right side of each zone
final labelY = center.dy - textPainter.height / 2;
if (labelY >= 0 && labelY <= size.height) {
textPainter.paint(canvas, Offset(labelX - textPainter.width / 2, labelY));
textPainter.paint(
canvas,
Offset(labelX - textPainter.width / 2, labelY),
);
}
}
}
void _drawSilhouetteZones(Canvas canvas, Size size, Offset center, double radius) {
void _drawSilhouetteZones(
Canvas canvas,
Size size,
Offset center,
double radius,
) {
// Simplified silhouette zones
final paint = Paint()..style = PaintingStyle.stroke..strokeWidth = 2;
final paint = Paint()
..style = PaintingStyle.stroke
..strokeWidth = 2;
// Draw silhouette outline (simplified as rectangle for now)
final silhouetteWidth = radius * 0.8;
@@ -293,7 +414,11 @@ class _CalibrationPainter extends CustomPainter {
paint.color = Colors.green.withValues(alpha: 0.5);
canvas.drawRect(
Rect.fromCenter(center: center, width: silhouetteWidth, height: silhouetteHeight),
Rect.fromCenter(
center: center,
width: silhouetteWidth,
height: silhouetteHeight,
),
paint,
);
}
@@ -316,17 +441,36 @@ class _CalibrationPainter extends CustomPainter {
final crossPaint = Paint()
..color = isDraggingCenter ? AppTheme.successColor : AppTheme.primaryColor
..strokeWidth = 2;
canvas.drawLine(Offset(center.dx - 20, center.dy), Offset(center.dx - 8, center.dy), crossPaint);
canvas.drawLine(Offset(center.dx + 8, center.dy), Offset(center.dx + 20, center.dy), crossPaint);
canvas.drawLine(Offset(center.dx, center.dy - 20), Offset(center.dx, center.dy - 8), crossPaint);
canvas.drawLine(Offset(center.dx, center.dy + 8), Offset(center.dx, center.dy + 20), crossPaint);
canvas.drawLine(
Offset(center.dx - 20, center.dy),
Offset(center.dx - 8, center.dy),
crossPaint,
);
canvas.drawLine(
Offset(center.dx + 8, center.dy),
Offset(center.dx + 20, center.dy),
crossPaint,
);
canvas.drawLine(
Offset(center.dx, center.dy - 20),
Offset(center.dx, center.dy - 8),
crossPaint,
);
canvas.drawLine(
Offset(center.dx, center.dy + 8),
Offset(center.dx, center.dy + 20),
crossPaint,
);
}
void _drawRadiusHandle(Canvas canvas, Size size, Offset center, double baseRadius) {
void _drawRadiusHandle(
Canvas canvas,
Size size,
Offset center,
double baseRadius,
) {
// Radius handle on the right edge of the outermost ring
final outerRingRadius = ringRadii.isNotEmpty ? ringRadii.last : 1.0;
final actualRadius = baseRadius * outerRingRadius;
final actualHandleX = center.dx + actualRadius;
final actualHandleX = center.dx + baseRadius;
final clampedHandleX = actualHandleX.clamp(20.0, size.width - 20);
final clampedHandleY = center.dy.clamp(20.0, size.height - 20);
final handlePos = Offset(clampedHandleX, clampedHandleY);
@@ -376,7 +520,7 @@ class _CalibrationPainter extends CustomPainter {
// Label
final textPainter = TextPainter(
text: const TextSpan(
text: 'RAYON',
text: 'EXT.',
style: TextStyle(
color: Colors.white,
fontSize: 8,
@@ -392,6 +536,78 @@ class _CalibrationPainter extends CustomPainter {
);
}
void _drawInnerRadiusHandle(
Canvas canvas,
Size size,
Offset center,
double innerRadiusPx,
) {
// Inner radius handle on the top edge of the innermost ring
final actualHandleY = center.dy - innerRadiusPx;
final clampedHandleX = center.dx.clamp(20.0, size.width - 20);
final clampedHandleY = actualHandleY.clamp(20.0, size.height - 20);
final handlePos = Offset(clampedHandleX, clampedHandleY);
final isClamped = actualHandleY < 20.0;
final paint = Paint()
..color = isDraggingInnerRadius
? AppTheme.successColor
: (isClamped ? Colors.orange : Colors.purpleAccent)
..style = PaintingStyle.fill;
// Draw handle
canvas.drawCircle(handlePos, 14, paint);
// Up/Down arrow indicators
final arrowPaint = Paint()
..color = Colors.white
..strokeWidth = 2
..style = PaintingStyle.stroke;
// Up arrow
canvas.drawLine(
Offset(handlePos.dx, handlePos.dy - 4),
Offset(handlePos.dx - 4, handlePos.dy - 8),
arrowPaint,
);
canvas.drawLine(
Offset(handlePos.dx, handlePos.dy - 4),
Offset(handlePos.dx + 4, handlePos.dy - 8),
arrowPaint,
);
// Down arrow
canvas.drawLine(
Offset(handlePos.dx, handlePos.dy + 4),
Offset(handlePos.dx - 4, handlePos.dy + 8),
arrowPaint,
);
canvas.drawLine(
Offset(handlePos.dx, handlePos.dy + 4),
Offset(handlePos.dx + 4, handlePos.dy + 8),
arrowPaint,
);
// Label
final textPainter = TextPainter(
text: const TextSpan(
text: 'INT.',
style: TextStyle(
color: Colors.white,
fontSize: 8,
fontWeight: FontWeight.bold,
),
),
textDirection: TextDirection.ltr,
);
textPainter.layout();
textPainter.paint(
canvas,
Offset(handlePos.dx - textPainter.width / 2, handlePos.dy - 24),
);
}
void _drawInstructions(Canvas canvas, Size size) {
const instruction = 'Deplacez le centre ou ajustez le rayon';
@@ -418,9 +634,11 @@ class _CalibrationPainter extends CustomPainter {
return centerX != oldDelegate.centerX ||
centerY != oldDelegate.centerY ||
radius != oldDelegate.radius ||
innerRadius != oldDelegate.innerRadius ||
ringCount != oldDelegate.ringCount ||
isDraggingCenter != oldDelegate.isDraggingCenter ||
isDraggingRadius != oldDelegate.isDraggingRadius ||
isDraggingInnerRadius != oldDelegate.isDraggingInnerRadius ||
ringRadii != oldDelegate.ringRadii;
}
}

View File

@@ -25,6 +25,7 @@ class TargetOverlay extends StatelessWidget {
final double? groupingDiameter;
final List<Shot>? referenceImpacts;
final double zoomScale;
final bool showRings;
const TargetOverlay({
super.key,
@@ -42,6 +43,7 @@ class TargetOverlay extends StatelessWidget {
this.groupingDiameter,
this.referenceImpacts,
this.zoomScale = 1.0,
this.showRings = false,
});
@override
@@ -72,6 +74,7 @@ class TargetOverlay extends StatelessWidget {
groupingDiameter: groupingDiameter,
referenceImpacts: referenceImpacts,
zoomScale: zoomScale,
showRings: showRings,
),
child: Stack(
children: shots.map((shot) {
@@ -132,6 +135,7 @@ class _TargetOverlayPainter extends CustomPainter {
final double? groupingDiameter;
final List<Shot>? referenceImpacts;
final double zoomScale;
final bool showRings;
_TargetOverlayPainter({
required this.shots,
@@ -146,12 +150,15 @@ class _TargetOverlayPainter extends CustomPainter {
this.groupingDiameter,
this.referenceImpacts,
this.zoomScale = 1.0,
this.showRings = false,
});
@override
void paint(Canvas canvas, Size size) {
// Draw target center indicator
if (showRings) {
_drawTargetCenter(canvas, size);
}
// Draw grouping circle
if (groupingCenterX != null && groupingCenterY != null && groupingDiameter != null && shots.length > 1) {
@@ -371,6 +378,7 @@ class _TargetOverlayPainter extends CustomPainter {
groupingCenterY != oldDelegate.groupingCenterY ||
groupingDiameter != oldDelegate.groupingDiameter ||
referenceImpacts != oldDelegate.referenceImpacts ||
zoomScale != oldDelegate.zoomScale;
zoomScale != oldDelegate.zoomScale ||
showRings != oldDelegate.showRings;
}
}

View File

@@ -1,18 +1,14 @@
/// Écran de capture - Première étape du workflow d'analyse.
///
/// Permet de sélectionner le type de cible (concentrique ou silhouette)
/// et la source d'image (caméra ou galerie). Affiche un aperçu de l'image
/// sélectionnée avant de lancer l'analyse.
library;
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:image_picker/image_picker.dart';
import 'package:permission_handler/permission_handler.dart';
import 'package:google_mlkit_document_scanner/google_mlkit_document_scanner.dart';
import 'package:device_info_plus/device_info_plus.dart';
import '../../core/constants/app_constants.dart';
import '../../core/theme/app_theme.dart';
import '../../data/models/target_type.dart';
import '../crop/crop_screen.dart';
import 'widgets/target_type_selector.dart';
import 'widgets/image_source_button.dart';
class CaptureScreen extends StatefulWidget {
@@ -24,34 +20,75 @@ class CaptureScreen extends StatefulWidget {
class _CaptureScreenState extends State<CaptureScreen> {
final ImagePicker _picker = ImagePicker();
TargetType _selectedType = TargetType.concentric;
final TargetType _selectedType = TargetType.concentric;
String? _selectedImagePath;
bool _isLoading = false;
/// Gère la demande de permission et la sélection d'image depuis la galerie
Future<void> _handleGallerySelection() async {
PermissionStatus status;
if (Platform.isAndroid) {
final deviceInfo = DeviceInfoPlugin();
final androidInfo = await deviceInfo.androidInfo;
if (androidInfo.version.sdkInt >= 33) {
status = await Permission.photos.request();
} else {
status = await Permission.storage.request();
}
} else {
status = await Permission.photos.request();
}
if (status.isGranted) {
_captureImage(ImageSource.gallery);
} else if (status.isPermanentlyDenied) {
_showSettingsDialog();
} else {
if (mounted) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(
content: Text('Accès à la galerie requis pour continuer'),
),
);
}
}
}
void _showSettingsDialog() {
showDialog(
context: context,
builder: (context) => AlertDialog(
title: const Text('Permission requise'),
content: const Text(
'L\'accès aux photos est nécessaire. Veuillez l\'activer dans les paramètres.',
),
actions: [
TextButton(
onPressed: () => Navigator.pop(context),
child: const Text('Annuler'),
),
TextButton(
onPressed: () => openAppSettings(),
child: const Text('Paramètres'),
),
],
),
);
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('Nouvelle Analyse'),
),
appBar: AppBar(title: const Text('Source')),
body: SingleChildScrollView(
padding: const EdgeInsets.all(AppConstants.defaultPadding),
child: Column(
crossAxisAlignment: CrossAxisAlignment.stretch,
children: [
// TODO: une fois la cible de silhouette mise en place, rajouter le selecteur
// Target type selection
// _buildSectionTitle('Type de Cible'),
// const SizedBox(height: 12),
// TargetTypeSelector(
// selectedType: _selectedType,
// onTypeSelected: (type) {
// setState(() => _selectedType = type);
// },
// ),
const SizedBox(height: AppConstants.largePadding),
// Image source selection
_buildSectionTitle('Source de l\'Image'),
const SizedBox(height: 12),
Row(
@@ -59,8 +96,8 @@ class _CaptureScreenState extends State<CaptureScreen> {
Expanded(
child: ImageSourceButton(
icon: Icons.camera_alt,
label: 'Camera',
onPressed: _isLoading ? null : () => _captureImage(ImageSource.camera),
label: 'Scanner',
onPressed: _isLoading ? null : _scanDocument,
),
),
const SizedBox(width: 12),
@@ -68,14 +105,13 @@ class _CaptureScreenState extends State<CaptureScreen> {
child: ImageSourceButton(
icon: Icons.photo_library,
label: 'Galerie',
onPressed: _isLoading ? null : () => _captureImage(ImageSource.gallery),
onPressed: _isLoading ? null : _handleGallerySelection,
),
),
],
),
const SizedBox(height: AppConstants.largePadding),
// Image preview
if (_isLoading)
const Center(
child: Padding(
@@ -84,37 +120,60 @@ class _CaptureScreenState extends State<CaptureScreen> {
),
)
else if (_selectedImagePath != null)
_buildImagePreview(),
// Guide text
if (_selectedImagePath == null && !_isLoading)
_buildImagePreview()
else
_buildGuide(),
// --- NOUVEAU BOUTON VALIDER ---
if (_selectedImagePath != null && !_isLoading) ...[
const SizedBox(height: 24),
ElevatedButton(
style: ElevatedButton.styleFrom(
backgroundColor: const Color(0xFF112233), // Ton bleu foncé
foregroundColor: Colors.white,
minimumSize: const Size(double.infinity, 54),
shape: RoundedRectangleBorder(
borderRadius: BorderRadius.circular(12),
),
elevation: 0,
),
onPressed: _analyzeImage,
child: const Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Text(
'Valider',
style: TextStyle(
fontSize: 16,
fontWeight: FontWeight.bold,
),
),
SizedBox(width: 12),
Icon(Icons.arrow_forward, size: 20),
],
),
),
const SizedBox(height: 32),
],
],
),
),
floatingActionButton: _selectedImagePath != null
? FloatingActionButton.extended(
onPressed: _analyzeImage,
icon: const Icon(Icons.analytics),
label: const Text('Analyser'),
)
: null,
);
}
Widget _buildSectionTitle(String title) {
return Text(
title,
style: Theme.of(context).textTheme.titleMedium?.copyWith(
fontWeight: FontWeight.bold,
),
style: Theme.of(
context,
).textTheme.titleMedium?.copyWith(fontWeight: FontWeight.bold),
);
}
Widget _buildImagePreview() {
return Column(
children: [
_buildSectionTitle('Apercu'),
_buildSectionTitle('Aperçu'),
const SizedBox(height: 12),
ClipRRect(
borderRadius: BorderRadius.circular(AppConstants.borderRadius),
@@ -130,9 +189,7 @@ class _CaptureScreenState extends State<CaptureScreen> {
right: 8,
child: IconButton(
icon: const Icon(Icons.close),
onPressed: () {
setState(() => _selectedImagePath = null);
},
onPressed: () => setState(() => _selectedImagePath = null),
style: IconButton.styleFrom(
backgroundColor: Colors.black54,
foregroundColor: Colors.white,
@@ -150,7 +207,7 @@ class _CaptureScreenState extends State<CaptureScreen> {
Widget _buildFramingHints() {
return Card(
color: AppTheme.warningColor.withValues(alpha: 0.1),
color: AppTheme.warningColor.withOpacity(0.1),
child: Padding(
padding: const EdgeInsets.all(12),
child: Row(
@@ -159,8 +216,8 @@ class _CaptureScreenState extends State<CaptureScreen> {
const SizedBox(width: 12),
Expanded(
child: Text(
'Assurez-vous que la cible est bien centree et visible.',
style: TextStyle(color: AppTheme.warningColor.withValues(alpha: 0.8)),
'Assurez-vous que la cible est bien centrée et visible.',
style: TextStyle(color: AppTheme.warningColor.withOpacity(0.8)),
),
),
],
@@ -175,23 +232,26 @@ class _CaptureScreenState extends State<CaptureScreen> {
padding: const EdgeInsets.all(AppConstants.defaultPadding),
child: Column(
children: [
Icon(
Icons.help_outline,
size: 48,
color: Colors.grey[400],
),
Icon(Icons.help_outline, size: 48, color: Colors.grey[400]),
const SizedBox(height: 12),
Text(
'Conseils pour une bonne analyse',
style: Theme.of(context).textTheme.titleSmall?.copyWith(
fontWeight: FontWeight.bold,
),
style: Theme.of(
context,
).textTheme.titleSmall?.copyWith(fontWeight: FontWeight.bold),
),
const SizedBox(height: 12),
_buildGuideItem(Icons.crop_free, 'Cadrez la cible entiere dans l\'image'),
_buildGuideItem(Icons.wb_sunny, 'Utilisez un bon eclairage'),
_buildGuideItem(
Icons.crop_free,
'Cadrez la cible entière dans l\'image',
),
_buildGuideItem(Icons.wb_sunny, 'Utilisez un bon éclairage'),
_buildGuideItem(Icons.straighten, 'Prenez la photo de face'),
_buildGuideItem(Icons.blur_off, 'Evitez les images floues'),
_buildGuideItem(Icons.blur_off, 'Évitez les images floues'),
_buildGuideItem(
Icons.cleaning_services,
'Nettoyer votre objectif avec une chiffonnette',
),
],
),
),
@@ -211,9 +271,29 @@ class _CaptureScreenState extends State<CaptureScreen> {
);
}
Future<void> _scanDocument() async {
setState(() => _isLoading = true);
try {
final options = DocumentScannerOptions(
documentFormat: DocumentFormat.jpeg,
mode: ScannerMode.base,
pageLimit: 1,
isGalleryImport: false,
);
final scanner = DocumentScanner(options: options);
final documents = await scanner.scanDocument();
if (documents.images.isNotEmpty) {
setState(() => _selectedImagePath = documents.images.first);
}
} catch (e) {
debugPrint('Erreur scan: $e');
} finally {
if (mounted) setState(() => _isLoading = false);
}
}
Future<void> _captureImage(ImageSource source) async {
setState(() => _isLoading = true);
try {
final XFile? image = await _picker.pickImage(
source: source,
@@ -221,29 +301,18 @@ class _CaptureScreenState extends State<CaptureScreen> {
maxHeight: 2048,
imageQuality: 90,
);
if (image != null) {
setState(() => _selectedImagePath = image.path);
}
} catch (e) {
if (mounted) {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: Text('Erreur lors de la capture: $e'),
backgroundColor: AppTheme.errorColor,
),
);
}
debugPrint('Erreur capture: $e');
} finally {
if (mounted) {
setState(() => _isLoading = false);
}
if (mounted) setState(() => _isLoading = false);
}
}
void _analyzeImage() {
if (_selectedImagePath == null) return;
Navigator.push(
context,
MaterialPageRoute(

View File

@@ -1,18 +1,9 @@
/// Écran de recadrage d'image en format carré (1:1).
///
/// Permet à l'utilisateur de déplacer et zoomer l'image pour sélectionner
/// la zone à recadrer. Le carré de recadrage est fixe au centre de l'écran.
library;
import 'dart:io';
import 'dart:math' as math;
import 'dart:ui' as ui;
import 'package:flutter/material.dart';
import '../../core/theme/app_theme.dart';
// Importations ajustées selon ton arborescence à gauche
import '../../data/models/target_type.dart';
import '../../services/image_crop_service.dart';
import '../analysis/analysis_screen.dart';
import 'widgets/crop_overlay.dart';
class CropScreen extends StatefulWidget {
final String imagePath;
@@ -29,315 +20,105 @@ class CropScreen extends StatefulWidget {
}
class _CropScreenState extends State<CropScreen> {
final ImageCropService _cropService = ImageCropService();
bool _isLoading = false;
bool _imageLoaded = false;
Size? _imageSize;
// Position et échelle de l'image
Offset _offset = Offset.zero;
double _scale = 1.0;
double _baseScale = 1.0;
Offset _startFocalPoint = Offset.zero;
Offset _startOffset = Offset.zero;
// Dimensions calculées
double _cropSize = 0;
Size _viewportSize = Size.zero;
@override
void initState() {
super.initState();
_loadImageDimensions();
}
Future<void> _loadImageDimensions() async {
final file = File(widget.imagePath);
final bytes = await file.readAsBytes();
final codec = await ui.instantiateImageCodec(bytes);
final frame = await codec.getNextFrame();
setState(() {
_imageSize = Size(
frame.image.width.toDouble(),
frame.image.height.toDouble(),
);
_imageLoaded = true;
});
}
@override
Widget build(BuildContext context) {
return Scaffold(
backgroundColor: Colors.black,
backgroundColor: const Color(0xFF101214),
appBar: AppBar(
backgroundColor: Colors.black,
foregroundColor: Colors.white,
title: const Text('Recadrer'),
backgroundColor: const Color(0xFF101214),
elevation: 0,
centerTitle: true,
title: const Text(
'Validation image',
style: TextStyle(color: Colors.white, fontSize: 18),
),
leading: IconButton(
icon: const Icon(Icons.close),
icon: const Icon(Icons.arrow_back, color: Colors.white),
onPressed: () => Navigator.pop(context),
),
actions: [
if (!_isLoading)
IconButton(
icon: const Icon(Icons.check),
onPressed: _onCropConfirm,
),
],
),
body: _buildBody(),
);
}
Widget _buildBody() {
if (!_imageLoaded || _imageSize == null) {
return const Center(
child: CircularProgressIndicator(color: Colors.white),
);
}
if (_isLoading) {
return Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
body: Column(
children: [
const CircularProgressIndicator(color: Colors.white),
const SizedBox(height: 16),
Text(
'Recadrage en cours...',
style: TextStyle(color: Colors.white.withValues(alpha: 0.8)),
// L'image capturée
Expanded(
child: Container(
margin: const EdgeInsets.all(20),
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(12),
border: Border.all(color: Colors.white10),
),
],
),
);
}
return LayoutBuilder(
builder: (context, constraints) {
_viewportSize = Size(constraints.maxWidth, constraints.maxHeight);
// Taille du carré de crop (90% de la plus petite dimension)
_cropSize = math.min(constraints.maxWidth, constraints.maxHeight) * 0.85;
// Calculer l'échelle initiale si pas encore fait
if (_scale == 1.0 && _offset == Offset.zero) {
_initializeImagePosition();
}
return GestureDetector(
onScaleStart: _onScaleStart,
onScaleUpdate: _onScaleUpdate,
onScaleEnd: _onScaleEnd,
child: Stack(
children: [
// Image transformée
Positioned.fill(
child: Center(
child: Transform(
transform: Matrix4.identity()
..setTranslationRaw(_offset.dx, _offset.dy, 0)
..scale(_scale, _scale, 1.0),
alignment: Alignment.center,
child: ClipRRect(
borderRadius: BorderRadius.circular(12),
child: Image.file(
File(widget.imagePath),
fit: BoxFit.contain,
width: _viewportSize.width,
height: _viewportSize.height,
),
),
),
),
// Overlay de recadrage
Positioned.fill(
child: IgnorePointer(
child: CropOverlay(
cropSize: _cropSize,
showGrid: true,
),
),
),
// Instructions en bas
Positioned(
left: 0,
right: 0,
bottom: 24,
child: _buildInstructions(),
),
],
),
);
// Bouton Modifier
Padding(
padding: const EdgeInsets.symmetric(vertical: 20),
child: ElevatedButton.icon(
onPressed: () {
// Logique de modification à venir
},
);
}
void _initializeImagePosition() {
if (_imageSize == null) return;
final imageAspect = _imageSize!.width / _imageSize!.height;
final viewportAspect = _viewportSize.width / _viewportSize.height;
// Calculer la taille de l'image affichée (avec BoxFit.contain)
double displayWidth, displayHeight;
if (imageAspect > viewportAspect) {
displayWidth = _viewportSize.width;
displayHeight = _viewportSize.width / imageAspect;
} else {
displayHeight = _viewportSize.height;
displayWidth = _viewportSize.height * imageAspect;
}
// Échelle pour que le plus petit côté de l'image remplisse le carré de crop
final minDisplayDim = math.min(displayWidth, displayHeight);
_scale = _cropSize / minDisplayDim;
// S'assurer d'un scale minimum
if (_scale < 1.0) _scale = 1.0;
}
void _onScaleStart(ScaleStartDetails details) {
_baseScale = _scale;
_startFocalPoint = details.focalPoint;
_startOffset = _offset;
}
void _onScaleUpdate(ScaleUpdateDetails details) {
setState(() {
// Mise à jour du scale
_scale = (_baseScale * details.scale).clamp(0.5, 5.0);
// Mise à jour de la position
final delta = details.focalPoint - _startFocalPoint;
_offset = _startOffset + delta;
});
}
void _onScaleEnd(ScaleEndDetails details) {
// Optionnel: contraindre l'image pour qu'elle couvre toujours le carré de crop
}
Widget _buildInstructions() {
return Container(
margin: const EdgeInsets.symmetric(horizontal: 24),
padding: const EdgeInsets.symmetric(horizontal: 16, vertical: 12),
decoration: BoxDecoration(
color: Colors.black.withValues(alpha: 0.7),
borderRadius: BorderRadius.circular(8),
icon: const Icon(Icons.crop_rotate),
label: const Text('Modifier'),
style: ElevatedButton.styleFrom(
backgroundColor: const Color(0xFF1A73E8),
foregroundColor: Colors.white,
padding: const EdgeInsets.symmetric(horizontal: 32, vertical: 12),
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(8)),
),
),
),
// Boutons du bas
Padding(
padding: const EdgeInsets.fromLTRB(20, 0, 20, 30),
child: Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Icon(
Icons.touch_app,
color: Colors.white.withValues(alpha: 0.8),
size: 20,
Expanded(
child: OutlinedButton(
onPressed: () => Navigator.pop(context),
style: OutlinedButton.styleFrom(
side: const BorderSide(color: Colors.white24),
padding: const EdgeInsets.symmetric(vertical: 15),
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(8)),
),
const SizedBox(width: 8),
Text(
'Déplacez et zoomez pour cadrer la cible',
style: TextStyle(
color: Colors.white.withValues(alpha: 0.9),
fontSize: 14,
child: const Text('Recommencer', style: TextStyle(color: Colors.white)),
),
),
],
),
);
}
Future<void> _onCropConfirm() async {
if (_imageSize == null) return;
setState(() {
_isLoading = true;
});
try {
// Calculer la zone de crop en coordonnées normalisées de l'image
final cropRect = _calculateCropRect();
// Recadrer l'image
final croppedPath = await _cropService.cropToSquare(
widget.imagePath,
cropRect,
);
if (!mounted) return;
// Naviguer vers l'écran d'analyse avec l'image recadrée
Navigator.pushReplacement(
const SizedBox(width: 16),
Expanded(
child: ElevatedButton(
onPressed: () {
Navigator.push(
context,
MaterialPageRoute(
builder: (_) => AnalysisScreen(
imagePath: croppedPath,
imagePath: widget.imagePath,
targetType: widget.targetType,
),
),
);
} catch (e) {
if (!mounted) return;
setState(() {
_isLoading = false;
});
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: Text('Erreur lors du recadrage: $e'),
backgroundColor: AppTheme.errorColor,
},
style: ElevatedButton.styleFrom(
backgroundColor: const Color(0xFF1A73E8),
foregroundColor: Colors.white,
padding: const EdgeInsets.symmetric(vertical: 15),
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(8)),
),
child: const Text('Valider', style: TextStyle(fontWeight: FontWeight.bold)),
),
),
],
),
),
],
),
);
}
}
CropRect _calculateCropRect() {
if (_imageSize == null) {
return const CropRect(x: 0, y: 0, width: 1, height: 1);
}
final imageAspect = _imageSize!.width / _imageSize!.height;
final viewportAspect = _viewportSize.width / _viewportSize.height;
// Calculer la taille de l'image affichée (avec BoxFit.contain)
double displayWidth, displayHeight;
if (imageAspect > viewportAspect) {
displayWidth = _viewportSize.width;
displayHeight = _viewportSize.width / imageAspect;
} else {
displayHeight = _viewportSize.height;
displayWidth = _viewportSize.height * imageAspect;
}
// Taille de l'image après scale
final scaledWidth = displayWidth * _scale;
final scaledHeight = displayHeight * _scale;
// Position du centre de l'image dans le viewport
final imageCenterX = _viewportSize.width / 2 + _offset.dx;
final imageCenterY = _viewportSize.height / 2 + _offset.dy;
// Position du coin supérieur gauche de l'image
final imageLeft = imageCenterX - scaledWidth / 2;
final imageTop = imageCenterY - scaledHeight / 2;
// Position du carré de crop (centré dans le viewport)
final cropLeft = (_viewportSize.width - _cropSize) / 2;
final cropTop = (_viewportSize.height - _cropSize) / 2;
// Convertir en coordonnées relatives à l'image affichée
final relCropLeft = (cropLeft - imageLeft) / scaledWidth;
final relCropTop = (cropTop - imageTop) / scaledHeight;
final relCropSize = _cropSize / scaledWidth;
final relCropSizeY = _cropSize / scaledHeight;
return CropRect(
x: relCropLeft.clamp(0.0, 1.0),
y: relCropTop.clamp(0.0, 1.0),
width: relCropSize.clamp(0.0, 1.0 - relCropLeft.clamp(0.0, 1.0)),
height: relCropSizeY.clamp(0.0, 1.0 - relCropTop.clamp(0.0, 1.0)),
);
}
}

View File

@@ -13,20 +13,13 @@ class CropOverlay extends StatelessWidget {
/// Afficher la grille des tiers
final bool showGrid;
const CropOverlay({
super.key,
required this.cropSize,
this.showGrid = true,
});
const CropOverlay({super.key, required this.cropSize, this.showGrid = true});
@override
Widget build(BuildContext context) {
return CustomPaint(
size: Size.infinite,
painter: _CropOverlayPainter(
cropSize: cropSize,
showGrid: showGrid,
),
painter: _CropOverlayPainter(cropSize: cropSize, showGrid: showGrid),
);
}
}
@@ -35,10 +28,7 @@ class _CropOverlayPainter extends CustomPainter {
final double cropSize;
final bool showGrid;
_CropOverlayPainter({
required this.cropSize,
required this.showGrid,
});
_CropOverlayPainter({required this.cropSize, required this.showGrid});
@override
void paint(Canvas canvas, Size size) {
@@ -77,6 +67,9 @@ class _CropOverlayPainter extends CustomPainter {
if (showGrid) {
_drawGrid(canvas, cropRect);
}
// Dessiner le point central (croix)
_drawCenterPoint(canvas, cropRect);
}
void _drawCorners(Canvas canvas, Rect rect) {
@@ -171,6 +164,38 @@ class _CropOverlayPainter extends CustomPainter {
);
}
void _drawCenterPoint(Canvas canvas, Rect rect) {
final centerPaint = Paint()
..color = Colors.white.withValues(alpha: 0.8)
..style = PaintingStyle.stroke
..strokeWidth = 2;
const size = 10.0;
final centerX = rect.center.dx;
final centerY = rect.center.dy;
// Ligne horizontale
canvas.drawLine(
Offset(centerX - size, centerY),
Offset(centerX + size, centerY),
centerPaint,
);
// Ligne verticale
canvas.drawLine(
Offset(centerX, centerY - size),
Offset(centerX, centerY + size),
centerPaint,
);
// Petit cercle central pour précision (optionnel, mais aide à viser)
canvas.drawCircle(
rect.center,
2,
Paint()..color = Colors.red.withValues(alpha: 0.6),
);
}
@override
bool shouldRepaint(covariant _CropOverlayPainter oldDelegate) {
return cropSize != oldDelegate.cropSize || showGrid != oldDelegate.showGrid;

View File

@@ -1,10 +1,3 @@
/// Écran d'historique des sessions.
///
/// Affiche la liste des sessions passées avec filtrage par type de cible.
/// Inclut un graphique d'évolution des scores (10 dernières sessions)
/// et permet la navigation vers le détail de chaque session.
library;
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import 'package:intl/intl.dart';
@@ -29,6 +22,9 @@ class _HistoryScreenState extends State<HistoryScreen> {
bool _isLoading = true;
TargetType? _filterType;
// --- MODIFICATION : Remplacement de DateTime par DateTimeRange ---
DateTimeRange? _selectedDateRange;
@override
void initState() {
super.initState();
@@ -36,17 +32,43 @@ class _HistoryScreenState extends State<HistoryScreen> {
}
Future<void> _loadSessions() async {
if (!mounted) return;
setState(() => _isLoading = true);
try {
final repository = context.read<SessionRepository>();
final sessions = await repository.getAllSessions(
targetType: _filterType,
);
final sessions = await repository.getAllSessions(targetType: _filterType);
if (mounted) {
setState(() {
_sessions = sessions;
// --- LOGIQUE DE FILTRAGE PAR PÉRIODE ---
if (_selectedDateRange != null) {
_sessions = _sessions.where((s) {
// On compare uniquement les dates (sans les heures) pour éviter les bugs
final sessionDate = DateTime(
s.createdAt.year,
s.createdAt.month,
s.createdAt.day,
);
final startDate = DateTime(
_selectedDateRange!.start.year,
_selectedDateRange!.start.month,
_selectedDateRange!.start.day,
);
final endDate = DateTime(
_selectedDateRange!.end.year,
_selectedDateRange!.end.month,
_selectedDateRange!.end.day,
);
return sessionDate.isAtSameMomentAs(startDate) ||
sessionDate.isAtSameMomentAs(endDate) ||
(sessionDate.isAfter(startDate) &&
sessionDate.isBefore(endDate));
}).toList();
}
_isLoading = false;
});
}
@@ -55,7 +77,7 @@ class _HistoryScreenState extends State<HistoryScreen> {
setState(() => _isLoading = false);
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: Text('Erreur de chargement: $e'),
content: Text('Erreur: $e'),
backgroundColor: AppTheme.errorColor,
),
);
@@ -63,6 +85,35 @@ class _HistoryScreenState extends State<HistoryScreen> {
}
}
// --- MODIFICATION : Fonction DateRangePicker ---
Future<void> _pickDateRange() async {
final DateTimeRange? picked = await showDateRangePicker(
context: context,
initialDateRange: _selectedDateRange,
firstDate: DateTime(2020),
lastDate: DateTime.now().add(const Duration(days: 1)),
locale: const Locale('fr', 'FR'),
builder: (context, child) {
return Theme(
data: Theme.of(context).copyWith(
colorScheme: ColorScheme.dark(
primary: AppTheme.primaryColor,
onPrimary: Colors.white,
surface: Theme.of(context).cardColor,
onSurface: Colors.white,
),
),
child: child!,
);
},
);
if (picked != null) {
setState(() => _selectedDateRange = picked);
_loadSessions();
}
}
@override
Widget build(BuildContext context) {
return Scaffold(
@@ -71,56 +122,87 @@ class _HistoryScreenState extends State<HistoryScreen> {
actions: [
PopupMenuButton<TargetType?>(
icon: const Icon(Icons.filter_list),
tooltip: 'Filtrer',
onSelected: (type) {
setState(() => _filterType = type);
_loadSessions();
},
itemBuilder: (context) => [
const PopupMenuItem(
value: null,
child: Text('Tous'),
const PopupMenuItem(value: null, child: Text('Tous')),
...TargetType.values.map(
(type) =>
PopupMenuItem(value: type, child: Text(type.displayName)),
),
...TargetType.values.map((type) => PopupMenuItem(
value: type,
child: Text(type.displayName),
)),
],
),
],
),
body: _isLoading
body: Column(
children: [
Expanded(
child: _isLoading
? const Center(child: CircularProgressIndicator())
: _sessions.isEmpty
? _buildEmptyState()
: _buildContent(),
),
_buildBottomFilterBar(),
],
),
);
}
Widget _buildBottomFilterBar() {
return Container(
padding: const EdgeInsets.symmetric(horizontal: 16, vertical: 12),
decoration: BoxDecoration(
color: Theme.of(context).cardColor,
boxShadow: const [
BoxShadow(
color: Colors.black26,
blurRadius: 4,
offset: Offset(0, -2),
),
],
),
child: SafeArea(
top: false,
child: Row(
children: [
Expanded(
child: OutlinedButton.icon(
onPressed: _pickDateRange,
icon: const Icon(Icons.date_range, size: 18),
label: Text(
_selectedDateRange == null
? 'Choisir une période'
: '${DateFormat('dd/MM/yy').format(_selectedDateRange!.start)} - ${DateFormat('dd/MM/yy').format(_selectedDateRange!.end)}',
),
),
),
if (_selectedDateRange != null)
IconButton(
icon: const Icon(Icons.close, color: AppTheme.errorColor),
onPressed: () {
setState(() => _selectedDateRange = null);
_loadSessions();
},
),
],
),
),
);
}
Widget _buildEmptyState() {
return Center(
child: Padding(
padding: const EdgeInsets.all(AppConstants.defaultPadding),
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Icon(Icons.history, size: 64, color: Colors.grey[400]),
const SizedBox(height: 16),
Text(
'Aucune session',
style: Theme.of(context).textTheme.titleLarge,
),
const SizedBox(height: 8),
Text(
_filterType != null
? 'Aucune session de type ${_filterType!.displayName}'
: 'Commencez par analyser une cible',
style: TextStyle(color: Colors.grey[600]),
textAlign: TextAlign.center,
),
const Text('Aucune session sur cette période'),
],
),
),
);
}
@@ -129,37 +211,17 @@ class _HistoryScreenState extends State<HistoryScreen> {
onRefresh: _loadSessions,
child: CustomScrollView(
slivers: [
// Chart section
if (_sessions.length >= 2)
if (_sessions.length >= 2 && _selectedDateRange == null)
SliverToBoxAdapter(
child: Padding(
padding: const EdgeInsets.all(AppConstants.defaultPadding),
child: HistoryChart(sessions: _sessions),
),
),
// Filter indicator
if (_filterType != null)
SliverToBoxAdapter(
child: Padding(
padding: const EdgeInsets.symmetric(horizontal: AppConstants.defaultPadding),
child: Chip(
label: Text('Filtre: ${_filterType!.displayName}'),
deleteIcon: const Icon(Icons.close, size: 18),
onDeleted: () {
setState(() => _filterType = null);
_loadSessions();
},
),
),
),
// Sessions list
SliverPadding(
padding: const EdgeInsets.all(AppConstants.defaultPadding),
sliver: SliverList(
delegate: SliverChildBuilderDelegate(
(context, index) {
delegate: SliverChildBuilderDelegate((context, index) {
final session = _sessions[index];
return Padding(
padding: const EdgeInsets.only(bottom: 12),
@@ -169,9 +231,7 @@ class _HistoryScreenState extends State<HistoryScreen> {
onDelete: () => _deleteSession(session),
),
);
},
childCount: _sessions.length,
),
}, childCount: _sessions.length),
),
),
],
@@ -182,11 +242,9 @@ class _HistoryScreenState extends State<HistoryScreen> {
void _openSessionDetail(Session session) async {
await Navigator.push(
context,
MaterialPageRoute(
builder: (_) => SessionDetailScreen(session: session),
),
MaterialPageRoute(builder: (_) => SessionDetailScreen(session: session)),
);
_loadSessions(); // Refresh in case session was deleted
_loadSessions();
}
Future<void> _deleteSession(Session session) async {
@@ -204,7 +262,10 @@ class _HistoryScreenState extends State<HistoryScreen> {
),
TextButton(
onPressed: () => Navigator.pop(context, true),
child: const Text('Supprimer', style: TextStyle(color: AppTheme.errorColor)),
child: const Text(
'Supprimer',
style: TextStyle(color: AppTheme.errorColor),
),
),
],
),
@@ -215,20 +276,8 @@ class _HistoryScreenState extends State<HistoryScreen> {
final repository = context.read<SessionRepository>();
await repository.deleteSession(session.id);
_loadSessions();
if (mounted) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(content: Text('Session supprimee')),
);
}
} catch (e) {
if (mounted) {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: Text('Erreur: $e'),
backgroundColor: AppTheme.errorColor,
),
);
}
debugPrint('Erreur suppression: $e');
}
}
}

View File

@@ -1,9 +1,3 @@
/// Écran d'accueil - Dashboard principal de l'application.
///
/// Affiche les statistiques globales (sessions, tirs, score moyen) et permet
/// la navigation vers les sections Statistiques, Historique et Nouvelle Analyse.
library;
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import '../../core/constants/app_constants.dart';
@@ -46,6 +40,13 @@ class _HomeScreenState extends State<HomeScreen> {
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
// --- MODIFICATION 1 : AJOUT DE LA VERSION À GAUCHE ---
leading: const Center(
child: Text(
'v1.0.2',
style: TextStyle(fontSize: 12, color: Colors.white70),
),
),
title: const Text('Bully'),
actions: [
IconButton(
@@ -94,7 +95,7 @@ class _HomeScreenState extends State<HomeScreen> {
Container(
padding: const EdgeInsets.all(24),
decoration: BoxDecoration(
color: AppTheme.primaryColor.withValues(alpha: 0.1),
color: AppTheme.primaryColor.withOpacity(0.1),
shape: BoxShape.circle,
),
child: const Icon(
@@ -106,16 +107,16 @@ class _HomeScreenState extends State<HomeScreen> {
const SizedBox(height: 16),
Text(
'Analyse de Cibles',
style: Theme.of(context).textTheme.headlineMedium?.copyWith(
fontWeight: FontWeight.bold,
),
style: Theme.of(
context,
).textTheme.headlineMedium?.copyWith(fontWeight: FontWeight.bold),
),
const SizedBox(height: 8),
Text(
'Scannez vos cibles et analysez vos performances',
style: Theme.of(context).textTheme.bodyLarge?.copyWith(
color: AppTheme.textSecondary,
),
style: Theme.of(
context,
).textTheme.bodyLarge?.copyWith(color: AppTheme.textSecondary),
textAlign: TextAlign.center,
),
],
@@ -147,14 +148,15 @@ class _HomeScreenState extends State<HomeScreen> {
children: [
Text(
'Statistiques',
style: Theme.of(context).textTheme.titleLarge?.copyWith(
fontWeight: FontWeight.bold,
),
style: Theme.of(
context,
).textTheme.titleLarge?.copyWith(fontWeight: FontWeight.bold),
),
const SizedBox(height: 12),
// Première ligne de vignettes (Sessions et Tirs)
Row(
children: [
// --- BOUTON SESSIONS (Redirige vers Statistiques) ---
Expanded(
child: InkWell(
onTap: () => _navigateToStatistics(context),
@@ -168,7 +170,6 @@ class _HomeScreenState extends State<HomeScreen> {
),
),
const SizedBox(width: 12),
// Ce bouton reste statique (ou tu peux ajouter une action)
Expanded(
child: StatsCard(
icon: Icons.gps_fixed,
@@ -179,10 +180,32 @@ class _HomeScreenState extends State<HomeScreen> {
),
],
),
const SizedBox(height: 12),
// --- MODIFICATION 2 : AJOUT DU GRAPHIQUE AU MILIEU ---
Padding(
padding: const EdgeInsets.symmetric(vertical: 16.0),
child: Container(
height: 150,
decoration: BoxDecoration(
color: Colors.white,
borderRadius: BorderRadius.circular(AppConstants.borderRadius),
boxShadow: [
BoxShadow(
color: Colors.black.withOpacity(0.05),
blurRadius: 10,
offset: const Offset(0, 4),
),
],
),
child: const Center(
child: Icon(Icons.show_chart, size: 50, color: Colors.grey),
),
),
),
// Deuxième ligne de vignettes (Historique et Meilleur)
Row(
children: [
// --- BOUTON SCORE MOYEN (Redirige vers Historique) ---
Expanded(
child: InkWell(
onTap: () => _navigateToHistory(context),
@@ -196,7 +219,6 @@ class _HomeScreenState extends State<HomeScreen> {
),
),
const SizedBox(width: 12),
// Ce bouton reste statique
Expanded(
child: StatsCard(
icon: Icons.emoji_events,
@@ -211,12 +233,13 @@ class _HomeScreenState extends State<HomeScreen> {
);
}
// --- MÉTHODES DE NAVIGATION ---
void _navigateToCapture(BuildContext context) async {
await Navigator.push(
context,
MaterialPageRoute(builder: (_) => const CaptureScreen()),
);
// Refresh stats when returning
_loadStats();
}
@@ -225,7 +248,6 @@ class _HomeScreenState extends State<HomeScreen> {
context,
MaterialPageRoute(builder: (_) => const HistoryScreen()),
);
// Refresh stats when returning
_loadStats();
}
@@ -234,7 +256,6 @@ class _HomeScreenState extends State<HomeScreen> {
context,
MaterialPageRoute(builder: (_) => const StatisticsScreen()),
);
// Refresh stats when returning
_loadStats();
}
}

View File

@@ -1,22 +1,15 @@
/// Écran des statistiques détaillées.
///
/// Affiche les métriques de performance avec filtrage par période
/// (session, semaine, mois, tout). Inclut heat map, précision,
/// écart-type et distribution régionale des tirs.
library;
import 'package:flutter/foundation.dart';
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import 'package:fl_chart/fl_chart.dart'; // La librairie pour les courbes
import '../../core/constants/app_constants.dart';
import '../../core/theme/app_theme.dart';
import '../../data/models/session.dart';
import '../../data/repositories/session_repository.dart';
import '../../services/statistics_service.dart';
import 'widgets/heat_map_widget.dart';
class StatisticsScreen extends StatefulWidget {
final Session? singleSession; // If provided, show stats for this session only
final Session? singleSession;
const StatisticsScreen({super.key, this.singleSession});
@@ -31,694 +24,282 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
bool _isLoading = true;
List<Session> _allSessions = [];
// Valeurs pour les Dropdowns (Filtres)
String _selectedWeapon = 'Toutes';
String _selectedDistance = 'Toutes';
@override
void initState() {
super.initState();
// Use addPostFrameCallback to ensure context is available
WidgetsBinding.instance.addPostFrameCallback((_) {
_loadStatistics();
});
WidgetsBinding.instance.addPostFrameCallback((_) => _loadStatistics());
}
Future<void> _loadStatistics() async {
if (!mounted) return;
setState(() => _isLoading = true);
try {
if (widget.singleSession != null) {
// Single session mode
_statistics = _statisticsService.calculateStatistics(
[widget.singleSession!],
period: StatsPeriod.session,
targetCenterX: widget.singleSession!.targetCenterX ?? 0.5,
targetCenterY: widget.singleSession!.targetCenterY ?? 0.5,
);
} else {
// Load all sessions
final repository = context.read<SessionRepository>();
_allSessions = await repository.getAllSessions();
_calculateStats();
}
} catch (e) {
debugPrint('Error loading statistics: $e');
}
if (mounted) {
setState(() => _isLoading = false);
debugPrint('Error: $e');
} finally {
if (mounted) setState(() => _isLoading = false);
}
}
void _calculateStats() {
debugPrint('Calculating stats for ${_allSessions.length} sessions, period: $_selectedPeriod');
for (final session in _allSessions) {
debugPrint(' Session: ${session.id}, shots: ${session.shots.length}, date: ${session.createdAt}');
}
_statistics = _statisticsService.calculateStatistics(
_allSessions,
period: _selectedPeriod,
);
debugPrint('Statistics result: totalShots=${_statistics?.totalShots}, totalScore=${_statistics?.totalScore}');
}
@override
Widget build(BuildContext context) {
return Scaffold(
backgroundColor: const Color(
0xFF121212,
), // Fond sombre comme sur le design
appBar: AppBar(
title: Text(widget.singleSession != null ? 'Statistiques Session' : 'Statistiques'),
backgroundColor: Colors.transparent,
elevation: 0,
leading: IconButton(
icon: const Icon(Icons.arrow_back, color: Colors.white),
onPressed: () => Navigator.pop(context),
),
title: const Text(
'Statistiques',
style: TextStyle(color: Colors.white),
),
centerTitle: true,
),
body: _isLoading
? const Center(child: CircularProgressIndicator())
: _statistics == null || _statistics!.totalShots == 0
? _buildEmptyState()
: _buildStatistics(),
);
}
Widget _buildEmptyState() {
return Center(
child: Padding(
padding: const EdgeInsets.all(AppConstants.defaultPadding),
: SingleChildScrollView(
padding: const EdgeInsets.all(16),
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Icon(Icons.analytics_outlined, size: 64, color: Colors.grey.shade400),
const SizedBox(height: 16),
Text(
'Aucune donnee disponible',
style: Theme.of(context).textTheme.titleLarge,
),
const SizedBox(height: 8),
Text(
'Effectuez des sessions de tir pour voir vos statistiques',
textAlign: TextAlign.center,
style: TextStyle(color: Colors.grey.shade600),
),
const SizedBox(height: 16),
Text(
'Sessions trouvees: ${_allSessions.length}',
style: TextStyle(color: Colors.grey.shade400, fontSize: 12),
),
if (_allSessions.isNotEmpty)
Text(
'Tirs totaux: ${_allSessions.fold<int>(0, (sum, s) => sum + s.shots.length)}',
style: TextStyle(color: Colors.grey.shade400, fontSize: 12),
),
],
),
),
);
}
Widget _buildStatistics() {
return RefreshIndicator(
onRefresh: _loadStatistics,
child: SingleChildScrollView(
physics: const AlwaysScrollableScrollPhysics(),
padding: const EdgeInsets.all(AppConstants.defaultPadding),
child: Column(
crossAxisAlignment: CrossAxisAlignment.stretch,
children: [
// Period filter (only for multi-session view)
if (widget.singleSession == null) _buildPeriodFilter(),
const SizedBox(height: 16),
// Summary cards
_buildSummaryCards(),
const SizedBox(height: 24),
// Heat Map
_buildHeatMapSection(),
const SizedBox(height: 24),
// Precision stats
_buildPrecisionSection(),
const SizedBox(height: 24),
// Standard deviation
_buildStdDevSection(),
const SizedBox(height: 24),
// Regional distribution
_buildRegionalSection(),
],
),
),
);
}
Widget _buildPeriodFilter() {
return Card(
child: Padding(
padding: const EdgeInsets.all(12),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text(
'Periode',
style: TextStyle(fontWeight: FontWeight.bold),
),
const SizedBox(height: 8),
SegmentedButton<StatsPeriod>(
segments: const [
ButtonSegment(
value: StatsPeriod.week,
label: Text('7 jours'),
icon: Icon(Icons.date_range),
),
ButtonSegment(
value: StatsPeriod.month,
label: Text('30 jours'),
icon: Icon(Icons.calendar_month),
),
ButtonSegment(
value: StatsPeriod.all,
label: Text('Tout'),
icon: Icon(Icons.all_inclusive),
),
],
selected: {_selectedPeriod},
onSelectionChanged: (selection) {
setState(() {
_selectedPeriod = selection.first;
_calculateStats();
});
},
),
const SizedBox(height: 8),
Text(
'${_statistics!.sessions.length} session(s) - ${_statistics!.totalShots} tir(s)',
style: TextStyle(color: Colors.grey.shade600, fontSize: 12),
),
],
),
),
);
}
Widget _buildSummaryCards() {
return Row(
// 1. FILTRES (Arme et Distance)
Row(
children: [
Expanded(
child: _StatCard(
icon: Icons.gps_fixed,
title: 'Tirs',
value: '${_statistics!.totalShots}',
color: AppTheme.primaryColor,
child: _buildDropdown('Arme utilisée', _selectedWeapon),
),
const SizedBox(width: 12),
Expanded(
child: _buildDropdown('Distance', _selectedDistance),
),
],
),
const SizedBox(height: 20),
// 2. DONNÉES RAPIDES (Tirs et Sessions)
Row(
children: [
Expanded(
child: _buildQuickStat(
'Nbre de tirs',
'${_statistics?.totalShots ?? 0}',
Icons.gps_fixed,
),
),
const SizedBox(width: 12),
Expanded(
child: _StatCard(
icon: Icons.score,
title: 'Score Total',
value: '${_statistics!.totalScore}',
color: AppTheme.secondaryColor,
child: _buildQuickStat(
'Nbre de sessions',
'${_statistics?.sessions.length ?? 0}',
Icons.analytics,
),
),
],
);
}
),
const SizedBox(height: 25),
Widget _buildHeatMapSection() {
return Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
const Icon(Icons.grid_on, color: AppTheme.primaryColor),
const SizedBox(width: 8),
const Text(
'Zones Chaudes',
style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16),
// 3. LES GRAPHIQUES
_buildChartSection(
'Score',
'${_statistics?.totalScore ?? 0}',
[8, 12, 10, 15, 14, 18],
),
],
const SizedBox(height: 20),
_buildChartSection(
'Précision',
'${_statistics?.precision.precisionScore.toStringAsFixed(1)}%',
[60, 75, 70, 85, 80, 95],
),
const SizedBox(height: 8),
Text(
'Repartition de vos tirs sur la cible',
style: TextStyle(color: Colors.grey.shade600, fontSize: 12),
),
const SizedBox(height: 16),
Center(
child: HeatMapWidget(
heatMap: _statistics!.heatMap,
size: MediaQuery.of(context).size.width - 80,
),
),
const SizedBox(height: 12),
// Legend - gradient bar
Container(
height: 24,
margin: const EdgeInsets.symmetric(horizontal: 16),
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(4),
gradient: const LinearGradient(
colors: [
Color(0xFF2196F3), // Blue (cold)
Color(0xFF00BCD4), // Cyan
Color(0xFFFFEB3B), // Yellow
Color(0xFFFF9800), // Orange
Color(0xFFFF1744), // Red (hot)
],
),
),
),
const SizedBox(height: 4),
Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: [
Padding(
padding: const EdgeInsets.only(left: 16),
child: Text('Peu', style: TextStyle(fontSize: 12, color: Colors.grey.shade600)),
),
Padding(
padding: const EdgeInsets.only(right: 16),
child: Text('Beaucoup', style: TextStyle(fontSize: 12, color: Colors.grey.shade600)),
),
],
),
],
),
),
);
}
const SizedBox(height: 20),
_buildChartSection('Groupement moyen', '14.2 mm', [
20,
18,
22,
15,
14,
12,
]), // mm fictif pour l'exemple
Widget _buildLegendItem(Color color, String label) {
return Padding(
padding: const EdgeInsets.symmetric(horizontal: 4),
child: Row(
mainAxisSize: MainAxisSize.min,
children: [
Container(
width: 16,
height: 16,
decoration: BoxDecoration(
color: color,
borderRadius: BorderRadius.circular(2),
border: Border.all(color: Colors.grey.shade400),
),
),
const SizedBox(width: 4),
Text(label, style: const TextStyle(fontSize: 10)),
],
),
);
}
const SizedBox(height: 30),
Widget _buildPrecisionSection() {
final precision = _statistics!.precision;
return Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
const Icon(Icons.center_focus_strong, color: AppTheme.successColor),
const SizedBox(width: 8),
const Text(
'Precision',
style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16),
),
],
),
const SizedBox(height: 16),
Row(
children: [
Expanded(
child: _buildPrecisionGauge(
'Precision',
precision.precisionScore,
'Distance moyenne du centre',
),
),
const SizedBox(width: 16),
Expanded(
child: _buildPrecisionGauge(
'Regularite',
precision.consistencyScore,
'Groupement des tirs',
),
),
],
),
const Divider(height: 32),
_buildStatRow('Distance moyenne du centre',
'${(precision.avgDistanceFromCenter * 100).toStringAsFixed(1)}%'),
_buildStatRow('Diametre de groupement',
'${(precision.groupingDiameter * 100).toStringAsFixed(1)}%'),
_buildStatRow('Score moyen',
_statistics!.avgScore.toStringAsFixed(2)),
_buildStatRow('Meilleur score', '${_statistics!.maxScore}'),
_buildStatRow('Plus bas score', '${_statistics!.minScore}'),
],
),
),
);
}
Widget _buildPrecisionGauge(String title, double value, String subtitle) {
final color = value > 70
? AppTheme.successColor
: value > 40
? AppTheme.warningColor
: AppTheme.errorColor;
return Column(
children: [
Stack(
alignment: Alignment.center,
children: [
// 4. BOUTON ACCUEIL
SizedBox(
width: 80,
height: 80,
child: CircularProgressIndicator(
value: value / 100,
strokeWidth: 8,
backgroundColor: Colors.grey.shade200,
valueColor: AlwaysStoppedAnimation(color),
),
),
Text(
'${value.toStringAsFixed(0)}',
style: TextStyle(
fontSize: 20,
fontWeight: FontWeight.bold,
color: color,
),
),
],
),
const SizedBox(height: 8),
Text(
title,
style: const TextStyle(fontWeight: FontWeight.bold),
),
Text(
subtitle,
style: TextStyle(fontSize: 10, color: Colors.grey.shade600),
textAlign: TextAlign.center,
),
],
);
}
Widget _buildStdDevSection() {
final stdDev = _statistics!.stdDev;
return Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
const Icon(Icons.stacked_line_chart, color: AppTheme.warningColor),
const SizedBox(width: 8),
const Text(
'Ecart Type',
style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16),
),
],
),
const SizedBox(height: 8),
Text(
'Mesure de la dispersion de vos tirs',
style: TextStyle(color: Colors.grey.shade600, fontSize: 12),
),
const SizedBox(height: 16),
_buildStatRow('Ecart type X (horizontal)',
'${(stdDev.stdDevX * 100).toStringAsFixed(2)}%'),
_buildStatRow('Ecart type Y (vertical)',
'${(stdDev.stdDevY * 100).toStringAsFixed(2)}%'),
_buildStatRow('Ecart type radial',
'${(stdDev.stdDevRadial * 100).toStringAsFixed(2)}%'),
_buildStatRow('Ecart type score',
stdDev.stdDevScore.toStringAsFixed(2)),
const Divider(height: 24),
_buildStatRow('Position moyenne X',
'${(stdDev.meanX * 100).toStringAsFixed(1)}%'),
_buildStatRow('Position moyenne Y',
'${(stdDev.meanY * 100).toStringAsFixed(1)}%'),
_buildStatRow('Score moyen',
stdDev.meanScore.toStringAsFixed(2)),
],
),
),
);
}
Widget _buildRegionalSection() {
final regional = _statistics!.regional;
return Card(
child: Padding(
padding: const EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
const Icon(Icons.explore, color: AppTheme.secondaryColor),
const SizedBox(width: 8),
const Text(
'Distribution Regionale',
style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16),
),
],
),
const SizedBox(height: 16),
// Dominant direction
Container(
padding: const EdgeInsets.all(12),
decoration: BoxDecoration(
color: AppTheme.primaryColor.withValues(alpha: 0.1),
width: double.infinity,
height: 50,
child: ElevatedButton(
style: ElevatedButton.styleFrom(
backgroundColor: const Color(0xFF1A73E8),
shape: RoundedRectangleBorder(
borderRadius: BorderRadius.circular(8),
),
child: Row(
children: [
const Icon(Icons.compass_calibration, color: AppTheme.primaryColor),
const SizedBox(width: 12),
Expanded(
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text('Direction dominante'),
Text(
regional.dominantDirection,
style: const TextStyle(
fontWeight: FontWeight.bold,
fontSize: 18,
),
),
],
),
),
],
),
),
const SizedBox(height: 16),
// Bias
if (regional.biasX.abs() > 0.02 || regional.biasY.abs() > 0.02)
Container(
padding: const EdgeInsets.all(12),
decoration: BoxDecoration(
color: AppTheme.warningColor.withValues(alpha: 0.1),
borderRadius: BorderRadius.circular(8),
),
child: Row(
children: [
const Icon(Icons.warning_amber, color: AppTheme.warningColor),
const SizedBox(width: 12),
Expanded(
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text('Biais detecte'),
Text(
_getBiasDescription(regional.biasX, regional.biasY),
style: const TextStyle(fontWeight: FontWeight.bold),
),
],
),
),
],
),
),
const SizedBox(height: 16),
// Sector distribution
const Text('Repartition par secteur:', style: TextStyle(fontWeight: FontWeight.bold)),
const SizedBox(height: 8),
Wrap(
spacing: 8,
runSpacing: 8,
children: regional.sectorDistribution.entries.map((entry) {
final percentage = _statistics!.totalShots > 0
? (entry.value / _statistics!.totalShots * 100)
: 0.0;
return _buildSectorChip(entry.key, entry.value, percentage);
}).toList(),
),
const SizedBox(height: 16),
// Quadrant distribution
const Text('Repartition par quadrant:', style: TextStyle(fontWeight: FontWeight.bold)),
const SizedBox(height: 8),
_buildQuadrantGrid(regional.quadrantDistribution),
],
),
),
);
}
Widget _buildStatRow(String label, String value) {
return Padding(
padding: const EdgeInsets.symmetric(vertical: 4),
child: Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: [
Text(label),
Text(value, style: const TextStyle(fontWeight: FontWeight.bold)),
],
),
);
}
Widget _buildSectorChip(String sector, int count, double percentage) {
return Container(
padding: const EdgeInsets.symmetric(horizontal: 12, vertical: 6),
decoration: BoxDecoration(
color: count > 0 ? AppTheme.primaryColor.withValues(alpha: 0.1) : Colors.grey.shade100,
borderRadius: BorderRadius.circular(16),
border: Border.all(
color: count > 0 ? AppTheme.primaryColor : Colors.grey.shade300,
),
),
child: Text(
'$sector: $count (${percentage.toStringAsFixed(0)}%)',
onPressed: () => Navigator.of(
context,
).popUntil((route) => route.isFirst),
child: const Text(
'ACCUEIL',
style: TextStyle(
fontSize: 12,
color: count > 0 ? AppTheme.primaryColor : Colors.grey.shade600,
),
),
);
}
Widget _buildQuadrantGrid(Map<String, int> quadrants) {
return Table(
border: TableBorder.all(color: Colors.grey.shade300),
children: [
TableRow(
children: [
_buildQuadrantCell('Haut-Gauche', quadrants['Haut-Gauche'] ?? 0),
_buildQuadrantCell('Haut-Droite', quadrants['Haut-Droite'] ?? 0),
],
),
TableRow(
children: [
_buildQuadrantCell('Bas-Gauche', quadrants['Bas-Gauche'] ?? 0),
_buildQuadrantCell('Bas-Droite', quadrants['Bas-Droite'] ?? 0),
],
),
],
);
}
Widget _buildQuadrantCell(String label, int count) {
final percentage = _statistics!.totalShots > 0
? (count / _statistics!.totalShots * 100)
: 0.0;
final intensity = _statistics!.totalShots > 0
? count / _statistics!.totalShots
: 0.0;
return Container(
padding: const EdgeInsets.all(16),
color: Color.lerp(Colors.white, AppTheme.primaryColor, intensity * 0.5),
child: Column(
children: [
Text(
'$count',
style: const TextStyle(
color: Colors.white,
fontWeight: FontWeight.bold,
fontSize: 24,
),
),
Text(
'${percentage.toStringAsFixed(0)}%',
style: TextStyle(color: Colors.grey.shade600),
),
),
],
),
),
);
}
// Widget pour les Dropdowns de filtres
Widget _buildDropdown(String label, String value) {
return Container(
padding: const EdgeInsets.symmetric(horizontal: 12, vertical: 4),
decoration: BoxDecoration(
color: const Color(0xFF1E1E1E),
borderRadius: BorderRadius.circular(8),
border: Border.all(color: Colors.white12),
),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
label,
style: const TextStyle(fontSize: 10),
textAlign: TextAlign.center,
style: const TextStyle(color: Colors.white54, fontSize: 10),
),
DropdownButton<String>(
value: value,
isExpanded: true,
underline: Container(),
dropdownColor: const Color(0xFF1E1E1E),
style: const TextStyle(color: Colors.white, fontSize: 14),
items: [value]
.map(
(String val) =>
DropdownMenuItem(value: val, child: Text(val)),
)
.toList(),
onChanged: (newValue) {},
),
],
),
);
}
String _getBiasDescription(double biasX, double biasY) {
final descriptions = <String>[];
if (biasX.abs() > 0.02) {
descriptions.add(biasX > 0 ? 'vers la droite' : 'vers la gauche');
}
if (biasY.abs() > 0.02) {
descriptions.add(biasY > 0 ? 'vers le bas' : 'vers le haut');
}
return 'Tendance ${descriptions.join(' et ')}';
}
}
class _StatCard extends StatelessWidget {
final IconData icon;
final String title;
final String value;
final Color color;
const _StatCard({
required this.icon,
required this.title,
required this.value,
required this.color,
});
@override
Widget build(BuildContext context) {
return Card(
child: Padding(
// Widget pour les petites cartes de stats
Widget _buildQuickStat(String label, String value, IconData icon) {
return Container(
padding: const EdgeInsets.all(16),
decoration: BoxDecoration(
color: const Color(0xFF1E1E1E),
borderRadius: BorderRadius.circular(12),
),
child: Column(
children: [
Icon(icon, color: color, size: 32),
Icon(icon, color: const Color(0xFF1A73E8), size: 20),
const SizedBox(height: 8),
Text(
value,
style: TextStyle(
fontSize: 24,
style: const TextStyle(
color: Colors.white,
fontSize: 20,
fontWeight: FontWeight.bold,
color: color,
),
),
Text(
title,
style: TextStyle(color: Colors.grey.shade600),
label,
style: const TextStyle(color: Colors.white54, fontSize: 12),
),
],
),
);
}
// Widget pour une section de graphique
Widget _buildChartSection(
String title,
String value,
List<double> dataPoints,
) {
return Container(
padding: const EdgeInsets.all(16),
decoration: BoxDecoration(
color: const Color(0xFF1E1E1E),
borderRadius: BorderRadius.circular(12),
),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
title,
style: const TextStyle(color: Colors.white70, fontSize: 14),
),
const SizedBox(height: 10),
Row(
children: [
Text(
value,
style: const TextStyle(
color: Colors.white,
fontSize: 24,
fontWeight: FontWeight.bold,
),
),
const SizedBox(width: 20),
Expanded(
child: SizedBox(
height: 60,
child: LineChart(_mainChartData(dataPoints)),
),
),
],
),
],
),
);
}
LineChartData _mainChartData(List<double> points) {
return LineChartData(
gridData: const FlGridData(show: false),
titlesData: const FlTitlesData(show: false),
borderData: FlBorderData(show: false),
lineBarsData: [
LineChartBarData(
spots: points
.asMap()
.entries
.map((e) => FlSpot(e.key.toDouble(), e.value))
.toList(),
isCurved: true,
color: const Color(0xFF4CAF50), // Vert comme sur ton design
barWidth: 3,
isStrokeCapRound: true,
dotData: const FlDotData(show: false),
belowBarData: BarAreaData(
show: true,
color: const Color(0xFF4CAF50).withOpacity(0.2),
),
),
],
);
}
}

View File

@@ -44,9 +44,7 @@ void main() async {
Provider<GroupingAnalyzerService>(
create: (_) => GroupingAnalyzerService(),
),
Provider<SessionRepository>(
create: (_) => SessionRepository(),
),
Provider<SessionRepository>(create: (_) => SessionRepository()),
],
child: const BullyApp(),
),

View File

@@ -8,6 +8,7 @@ library;
import 'dart:io';
import 'dart:math' as math;
import 'package:image/image.dart' as img;
import 'package:opencv_dart/opencv_dart.dart' as cv;
import 'package:path_provider/path_provider.dart';
/// Paramètres de distorsion calculés à partir de la calibration
@@ -281,16 +282,56 @@ class DistortionCorrectionService {
final p11 = image.getPixel(x1, y1);
// Interpoler chaque canal
final r = _lerp2D(p00.r.toDouble(), p10.r.toDouble(), p01.r.toDouble(), p11.r.toDouble(), wx, wy);
final g = _lerp2D(p00.g.toDouble(), p10.g.toDouble(), p01.g.toDouble(), p11.g.toDouble(), wx, wy);
final b = _lerp2D(p00.b.toDouble(), p10.b.toDouble(), p01.b.toDouble(), p11.b.toDouble(), wx, wy);
final a = _lerp2D(p00.a.toDouble(), p10.a.toDouble(), p01.a.toDouble(), p11.a.toDouble(), wx, wy);
final r = _lerp2D(
p00.r.toDouble(),
p10.r.toDouble(),
p01.r.toDouble(),
p11.r.toDouble(),
wx,
wy,
);
final g = _lerp2D(
p00.g.toDouble(),
p10.g.toDouble(),
p01.g.toDouble(),
p11.g.toDouble(),
wx,
wy,
);
final b = _lerp2D(
p00.b.toDouble(),
p10.b.toDouble(),
p01.b.toDouble(),
p11.b.toDouble(),
wx,
wy,
);
final a = _lerp2D(
p00.a.toDouble(),
p10.a.toDouble(),
p01.a.toDouble(),
p11.a.toDouble(),
wx,
wy,
);
return img.ColorRgba8(r.round().clamp(0, 255), g.round().clamp(0, 255), b.round().clamp(0, 255), a.round().clamp(0, 255));
return img.ColorRgba8(
r.round().clamp(0, 255),
g.round().clamp(0, 255),
b.round().clamp(0, 255),
a.round().clamp(0, 255),
);
}
/// Interpolation linéaire 2D
double _lerp2D(double v00, double v10, double v01, double v11, double wx, double wy) {
double _lerp2D(
double v00,
double v10,
double v01,
double v11,
double wx,
double wy,
) {
final top = v00 * (1 - wx) + v10 * wx;
final bottom = v01 * (1 - wx) + v11 * wx;
return top * (1 - wy) + bottom * wy;
@@ -320,7 +361,9 @@ class DistortionCorrectionService {
final height = image.height;
// Convertir les coordonnées normalisées en pixels
final srcCorners = corners.map((c) => (x: c.x * width, y: c.y * height)).toList();
final srcCorners = corners
.map((c) => (x: c.x * width, y: c.y * height))
.toList();
// Calculer la taille du rectangle destination
// On prend la moyenne des largeurs et hauteurs
@@ -336,20 +379,21 @@ class DistortionCorrectionService {
final result = img.Image(width: dstWidth, height: dstHeight);
// Calculer la matrice de transformation perspective
final matrix = _computePerspectiveMatrix(
srcCorners,
[
final matrix = _computePerspectiveMatrix(srcCorners, [
(x: 0.0, y: 0.0),
(x: dstWidth.toDouble(), y: 0.0),
(x: dstWidth.toDouble(), y: dstHeight.toDouble()),
(x: 0.0, y: dstHeight.toDouble()),
],
);
]);
// Appliquer la transformation
for (int y = 0; y < dstHeight; y++) {
for (int x = 0; x < dstWidth; x++) {
final src = _applyPerspectiveTransform(matrix, x.toDouble(), y.toDouble());
final src = _applyPerspectiveTransform(
matrix,
x.toDouble(),
y.toDouble(),
);
if (src.x >= 0 && src.x < width && src.y >= 0 && src.y < height) {
final pixel = _bilinearInterpolate(image, src.x, src.y);
@@ -408,7 +452,10 @@ class DistortionCorrectionService {
// Le système 'a' est de taille 8x9 (8 équations, 9 inconnues).
// On fixe h8 = 1.0 pour résoudre le système, ce qui nous donne un système 8x8.
final int n = 8;
final List<List<double>> matrix = List.generate(n, (i) => List<double>.from(a[i]));
final List<List<double>> matrix = List.generate(
n,
(i) => List<double>.from(a[i]),
);
// Vecteur B (les constantes de l'autre côté de l'égalité)
// Dans DLT, -h8 * dx (ou dy) devient le terme constant.
@@ -462,7 +509,11 @@ class DistortionCorrectionService {
return h;
}
({double x, double y}) _applyPerspectiveTransform(List<double> h, double x, double y) {
({double x, double y}) _applyPerspectiveTransform(
List<double> h,
double x,
double y,
) {
final w = h[6] * x + h[7] * y + h[8];
if (w.abs() < 1e-10) {
return (x: x, y: y);
@@ -471,4 +522,553 @@ class DistortionCorrectionService {
final ny = (h[3] * x + h[4] * y + h[5]) / w;
return (x: nx, y: ny);
}
/// Corrige la perspective en se basant sur la détection de cercles (ellipses)
/// dans l'image.
///
/// Cette méthode tente de détecter l'ellipse la plus proéminente (la cible)
/// et calcule une transformation pour la rendre parfaitement circulaire.
Future<String> correctPerspectiveUsingCircles(String imagePath) async {
try {
// 1. Charger l'image avec OpenCV
final src = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (src.isEmpty) throw Exception("Impossible de charger l'image");
// 2. Prétraitement
final gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY);
final blurred = cv.gaussianBlur(gray, (5, 5), 0);
// Canny edge detector avec seuil adaptatif (Otsu)
final thresh = cv.threshold(
blurred,
0,
255,
cv.THRESH_BINARY | cv.THRESH_OTSU,
);
final edges = cv.canny(blurred, thresh.$1 * 0.5, thresh.$1);
// 3. Trouver les contours
final contoursResult = cv.findContours(
edges,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
if (contours.isEmpty) return imagePath; // Pas de contours trouvés
// 4. Trouver le meilleur candidat ellipse
cv.RotatedRect? bestEllipse;
double maxArea = 0;
for (final contour in contours) {
if (contour.length < 5)
continue; // fitEllipse nécessite au moins 5 points
final area = cv.contourArea(contour);
if (area < 1000) continue; // Ignorer les trop petits bruits
final ellipse = cv.fitEllipse(contour);
// Critère de sélection: on cherche la plus grande ellipse qui est proche d'un cercle
// Mais comme on veut corriger la distorsion, elle PEUT être aplatie.
// Donc on prend juste la plus grande ellipse raisonnablement centrée.
if (area > maxArea) {
maxArea = area;
bestEllipse = ellipse;
}
}
if (bestEllipse == null) return imagePath;
// 5. Calculer la transformation perspective
// L'idée est de mapper les 4 sommets de l'ellipse détectée vers un cercle parfait.
// Ou plus simplement, mapper le rectangle englobant de l'ellipse vers un carré.
// Points source: les 4 coins du rotated rect de l'ellipse
// Note: opencv_dart RotatedRect points() non dispo directement?
// On peut utiliser boxPoints(ellipse)
final boxPoints = cv.boxPoints(bestEllipse);
// boxPoints returns Mat (4x2 float32)
// Extraire les 4 points
final List<cv.Point> srcPoints = [];
for (int i = 0; i < boxPoints.length; i++) {
// On accède directement au point à l'index i
final point2f = boxPoints[i];
// On convertit les coordonnées float en int pour cv.Point
srcPoints.add(cv.Point(point2f.x.toInt(), point2f.y.toInt()));
}
// Trier les points pour avoir: TL, TR, BR, BL
_sortPoints(srcPoints);
// Dimensions cibles
final side = math
.max(bestEllipse.size.width, bestEllipse.size.height)
.toInt();
final List<cv.Point> dstPoints = [
cv.Point(0, 0),
cv.Point(side, 0),
cv.Point(side, side),
cv.Point(0, side),
];
// Matrice de perspective
final M = cv.getPerspectiveTransform(
cv.VecPoint.fromList(srcPoints),
cv.VecPoint.fromList(dstPoints),
);
// 6. Warper l'image
final corrected = cv.warpPerspective(src, M, (side, side));
// 7. Sauvegarder
final tempDir = await getTemporaryDirectory();
final timestamp = DateTime.now().millisecondsSinceEpoch;
final outputPath = '${tempDir.path}/corrected_circle_$timestamp.jpg';
cv.imwrite(outputPath, corrected);
return outputPath;
} catch (e) {
// En cas d'erreur, retourner l'image originale
print('Erreur correction perspective cercles: $e');
return imagePath;
}
}
/// Trie les points dans l'ordre: Top-Left, Top-Right, Bottom-Right, Bottom-Left
void _sortPoints(List<cv.Point> points) {
// Calculer le centre de gravité
double cx = 0;
double cy = 0;
for (final p in points) {
cx += p.x;
cy += p.y;
}
cx /= points.length;
cy /= points.length;
points.sort((a, b) {
// Trier par angle autour du centre
final angleA = math.atan2(a.y - cy, a.x - cx);
final angleB = math.atan2(b.y - cy, b.x - cx);
return angleA.compareTo(angleB);
});
// Re-trier pour être sûr:
points.sort((a, b) => (a.y + a.x).compareTo(b.y + b.x));
final tl = points[0];
final br = points[3];
// Reste tr et bl
final remaining = [points[1], points[2]];
remaining.sort((a, b) => a.x.compareTo(b.x));
final bl = remaining[0];
final tr = remaining[1];
points[0] = tl;
points[1] = tr;
points[2] = br;
points[3] = bl;
}
/// Corrige la perspective en reformant le plus grand ovale (ellipse) en un cercle parfait,
/// sans recadrer agressivement l'image entière.
Future<String> correctPerspectiveUsingOvals(String imagePath) async {
try {
final src = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (src.isEmpty) throw Exception("Impossible de charger l'image");
final gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY);
final blurred = cv.gaussianBlur(gray, (5, 5), 0);
final thresh = cv.threshold(
blurred,
0,
255,
cv.THRESH_BINARY | cv.THRESH_OTSU,
);
final edges = cv.canny(blurred, thresh.$1 * 0.5, thresh.$1);
final contoursResult = cv.findContours(
edges,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
if (contours.isEmpty) return imagePath;
cv.RotatedRect? bestEllipse;
double maxArea = 0;
for (final contour in contours) {
if (contour.length < 5) continue;
final area = cv.contourArea(contour);
if (area < 1000) continue;
final ellipse = cv.fitEllipse(contour);
if (area > maxArea) {
maxArea = area;
bestEllipse = ellipse;
}
}
if (bestEllipse == null) return imagePath;
// The goal here is to morph the bestEllipse into a perfect circle, while
// keeping the image the same size and the center of the ellipse in the same place.
// We'll use the average of the width and height (or max) to define the target circle
final targetRadius =
math.max(bestEllipse.size.width, bestEllipse.size.height) / 2.0;
// Extract the 4 bounding box points of the ellipse
final boxPoints = cv.boxPoints(bestEllipse);
final List<cv.Point> srcPoints = [];
for (int i = 0; i < boxPoints.length; i++) {
srcPoints.add(cv.Point(boxPoints[i].x.toInt(), boxPoints[i].y.toInt()));
}
_sortPoints(srcPoints);
// Calculate the size of the perfectly squared output image
final int side = (targetRadius * 2).toInt();
final List<cv.Point> dstPoints = [
cv.Point(0, 0), // Top-Left
cv.Point(side, 0), // Top-Right
cv.Point(side, side), // Bottom-Right
cv.Point(0, side), // Bottom-Left
];
// Morph the target region into a perfect square, cropping the rest of the image
final M = cv.getPerspectiveTransform(
cv.VecPoint.fromList(srcPoints),
cv.VecPoint.fromList(dstPoints),
);
final corrected = cv.warpPerspective(src, M, (side, side));
final tempDir = await getTemporaryDirectory();
final timestamp = DateTime.now().millisecondsSinceEpoch;
final outputPath = '${tempDir.path}/corrected_oval_$timestamp.jpg';
cv.imwrite(outputPath, corrected);
return outputPath;
} catch (e) {
print('Erreur correction perspective ovales: $e');
return imagePath;
}
}
/// Corrige la distorsion et la profondeur (perspective) en créant un maillage
/// basé sur la concentricité des différents cercles de la cible pour trouver le meilleur plan.
Future<String> correctPerspectiveWithConcentricMesh(String imagePath) async {
try {
final src = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (src.isEmpty) throw Exception("Impossible de charger l'image");
final gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY);
final blurred = cv.gaussianBlur(gray, (5, 5), 0);
final thresh = cv.threshold(
blurred,
0,
255,
cv.THRESH_BINARY | cv.THRESH_OTSU,
);
final edges = cv.canny(blurred, thresh.$1 * 0.5, thresh.$1);
final contoursResult = cv.findContours(
edges,
cv.RETR_LIST,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
if (contours.isEmpty) return imagePath;
List<cv.RotatedRect> ellipses = [];
for (final contour in contours) {
if (contour.length < 5) continue;
if (cv.contourArea(contour) < 500) continue;
ellipses.add(cv.fitEllipse(contour));
}
if (ellipses.isEmpty) return imagePath;
// Find the largest ellipse to serve as our central reference
ellipses.sort(
(a, b) => (b.size.width * b.size.height).compareTo(
a.size.width * a.size.height,
),
);
final largestEllipse = ellipses.first;
final maxDist =
math.max(largestEllipse.size.width, largestEllipse.size.height) *
0.15;
// Group all ellipses that are roughly concentric with the largest one
List<cv.RotatedRect> concentricGroup = [];
for (final e in ellipses) {
final dx = e.center.x - largestEllipse.center.x;
final dy = e.center.y - largestEllipse.center.y;
if (math.sqrt(dx * dx + dy * dy) < maxDist) {
concentricGroup.add(e);
}
}
if (concentricGroup.length < 2) {
print(
"Pas assez de cercles concentriques pour le maillage, utilisation de la méthode simple.",
);
return await correctPerspectiveUsingOvals(imagePath);
}
final targetRadius =
math.max(largestEllipse.size.width, largestEllipse.size.height) / 2.0;
final int side = (targetRadius * 2.4).toInt(); // Add padding
final double cx = side / 2.0;
final double cy = side / 2.0;
List<cv.Point2f> srcPointsList = [];
List<cv.Point2f> dstPointsList = [];
for (final ellipse in concentricGroup) {
final box = cv.boxPoints(ellipse);
final m0 = cv.Point2f(
(box[0].x + box[1].x) / 2,
(box[0].y + box[1].y) / 2,
);
final m1 = cv.Point2f(
(box[1].x + box[2].x) / 2,
(box[1].y + box[2].y) / 2,
);
final m2 = cv.Point2f(
(box[2].x + box[3].x) / 2,
(box[2].y + box[3].y) / 2,
);
final m3 = cv.Point2f(
(box[3].x + box[0].x) / 2,
(box[3].y + box[0].y) / 2,
);
final d02 = math.sqrt(
math.pow(m0.x - m2.x, 2) + math.pow(m0.y - m2.y, 2),
);
final d13 = math.sqrt(
math.pow(m1.x - m3.x, 2) + math.pow(m1.y - m3.y, 2),
);
cv.Point2f maj1, maj2, min1, min2;
double r;
if (d02 > d13) {
maj1 = m0;
maj2 = m2;
min1 = m1;
min2 = m3;
r = d02 / 2.0;
} else {
maj1 = m1;
maj2 = m3;
min1 = m0;
min2 = m2;
r = d13 / 2.0;
}
// Sort maj1 and maj2 so maj1 is left/top
if ((maj1.x - maj2.x).abs() > (maj1.y - maj2.y).abs()) {
if (maj1.x > maj2.x) {
final t = maj1;
maj1 = maj2;
maj2 = t;
}
} else {
if (maj1.y > maj2.y) {
final t = maj1;
maj1 = maj2;
maj2 = t;
}
}
// Sort min1 and min2 so min1 is top/left
if ((min1.y - min2.y).abs() > (min1.x - min2.x).abs()) {
if (min1.y > min2.y) {
final t = min1;
min1 = min2;
min2 = t;
}
} else {
if (min1.x > min2.x) {
final t = min1;
min1 = min2;
min2 = t;
}
}
srcPointsList.addAll([maj1, maj2, min1, min2]);
dstPointsList.addAll([
cv.Point2f(cx - r, cy),
cv.Point2f(cx + r, cy),
cv.Point2f(cx, cy - r),
cv.Point2f(cx, cy + r),
]);
// Add ellipse centers mapping perfectly to the origin to force concentric depth alignment
srcPointsList.add(cv.Point2f(ellipse.center.x, ellipse.center.y));
dstPointsList.add(cv.Point2f(cx, cy));
}
// We explicitly convert points to VecPoint to use findHomography standard binding
final srcVec = cv.VecPoint.fromList(
srcPointsList.map((p) => cv.Point(p.x.toInt(), p.y.toInt())).toList(),
);
final dstVec = cv.VecPoint.fromList(
dstPointsList.map((p) => cv.Point(p.x.toInt(), p.y.toInt())).toList(),
);
final M = cv.findHomography(
cv.Mat.fromVec(srcVec),
cv.Mat.fromVec(dstVec),
method: cv.RANSAC,
);
if (M.isEmpty) {
return await correctPerspectiveUsingOvals(imagePath);
}
final corrected = cv.warpPerspective(src, M, (side, side));
final tempDir = await getTemporaryDirectory();
final timestamp = DateTime.now().millisecondsSinceEpoch;
final outputPath = '${tempDir.path}/corrected_mesh_$timestamp.jpg';
cv.imwrite(outputPath, corrected);
return outputPath;
} catch (e) {
print('Erreur correction perspective maillage concentrique: $e');
return imagePath;
}
}
/// Corrige la perspective en détectant les 4 coins de la feuille (quadrilatère)
///
/// Cette méthode cherche le plus grand polygone à 4 côtés (le bord du papier)
/// et le déforme pour en faire un carré parfait.
Future<String> correctPerspectiveUsingQuadrilateral(String imagePath) async {
try {
final src = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (src.isEmpty) throw Exception("Impossible de charger l'image");
final gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY);
// Flou plus important pour ignorer les détails internes (cercles, trous)
final blurred = cv.gaussianBlur(gray, (9, 9), 0);
// Canny edge detector
final thresh = cv.threshold(
blurred,
0,
255,
cv.THRESH_BINARY | cv.THRESH_OTSU,
);
final edges = cv.canny(blurred, thresh.$1 * 0.5, thresh.$1);
// Pour la détection de la feuille (les bords peuvent être discontinus à cause de l'éclairage)
final kernel = cv.getStructuringElement(cv.MORPH_RECT, (5, 5));
final closedEdges = cv.morphologyEx(edges, cv.MORPH_CLOSE, kernel);
// Find contours
final contoursResult = cv.findContours(
closedEdges,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
cv.VecPoint? bestQuad;
double maxArea = 0;
final minArea = src.rows * src.cols * 0.1; // Au moins 10% de l'image
for (final contour in contours) {
final area = cv.contourArea(contour);
if (area < minArea) continue;
final peri = cv.arcLength(contour, true);
// Approximation polygonale (tolérance = 2% à 5% du périmètre)
final approx = cv.approxPolyDP(contour, 0.04 * peri, true);
if (approx.length == 4) {
if (area > maxArea) {
maxArea = area;
bestQuad = approx;
}
}
}
// Fallback
if (bestQuad == null) {
print(
"Aucun papier quadrilatère détecté, on utilise les cercles à la place.",
);
return await correctPerspectiveUsingCircles(imagePath);
}
// Convert to List<cv.Point>
final List<cv.Point> srcPoints = [];
for (int i = 0; i < bestQuad.length; i++) {
srcPoints.add(bestQuad[i]);
}
_sortPoints(srcPoints);
// Calculate max width and height
double widthA = _distanceCV(srcPoints[2], srcPoints[3]);
double widthB = _distanceCV(srcPoints[1], srcPoints[0]);
int dstWidth = math.max(widthA, widthB).toInt();
double heightA = _distanceCV(srcPoints[1], srcPoints[2]);
double heightB = _distanceCV(srcPoints[0], srcPoints[3]);
int dstHeight = math.max(heightA, heightB).toInt();
// Since standard target paper forms a square, we force the resulting warp to be a perfect square.
int side = math.max(dstWidth, dstHeight);
final List<cv.Point> dstPoints = [
cv.Point(0, 0),
cv.Point(side, 0),
cv.Point(side, side),
cv.Point(0, side),
];
final M = cv.getPerspectiveTransform(
cv.VecPoint.fromList(srcPoints),
cv.VecPoint.fromList(dstPoints),
);
final corrected = cv.warpPerspective(src, M, (side, side));
final tempDir = await getTemporaryDirectory();
final timestamp = DateTime.now().millisecondsSinceEpoch;
final outputPath = '${tempDir.path}/corrected_quad_$timestamp.jpg';
cv.imwrite(outputPath, corrected);
return outputPath;
} catch (e) {
print('Erreur correction perspective quadrilatère: $e');
// Fallback
return await correctPerspectiveUsingCircles(imagePath);
}
}
double _distanceCV(cv.Point p1, cv.Point p2) {
final dx = p2.x - p1.x;
final dy = p2.y - p1.y;
return math.sqrt(dx * dx + dy * dy);
}
}

View File

@@ -1,13 +1,8 @@
/// Service de détection d'impacts utilisant OpenCV.
///
/// NOTE: OpenCV est actuellement désactivé sur Windows en raison de problèmes
/// de compilation. Ce fichier contient des stubs qui permettent au code de
/// compiler sans OpenCV. Réactiver opencv_dart dans pubspec.yaml et
/// décommenter le code ci-dessous quand le support sera corrigé.
library;
// import 'dart:math' as math;
// import 'package:opencv_dart/opencv_dart.dart' as cv;
import 'dart:math' as math;
import 'package:opencv_dart/opencv_dart.dart' as cv;
/// Paramètres de détection d'impacts OpenCV
class OpenCVDetectionSettings {
@@ -90,30 +85,144 @@ class OpenCVDetectedImpact {
}
/// Service de détection d'impacts utilisant OpenCV
///
/// NOTE: Actuellement désactivé - retourne des listes vides.
/// OpenCV n'est pas disponible sur Windows pour le moment.
class OpenCVImpactDetectionService {
/// Détecte les impacts dans une image en utilisant OpenCV
///
/// STUB: Retourne une liste vide car OpenCV est désactivé.
List<OpenCVDetectedImpact> detectImpacts(
String imagePath, {
OpenCVDetectionSettings settings = const OpenCVDetectionSettings(),
}) {
print('OpenCV est désactivé - utilisation de la détection classique recommandée');
try {
final img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (img.isEmpty) return [];
final gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
// Apply blur to reduce noise
final blurKSize = (settings.blurSize, settings.blurSize);
final blurred = cv.gaussianBlur(gray, blurKSize, 2, sigmaY: 2);
final List<OpenCVDetectedImpact> detectedImpacts = [];
final circles = cv.HoughCircles(
blurred,
cv.HOUGH_GRADIENT,
1,
settings.minDist,
param1: settings.param1,
param2: settings.param2,
minRadius: settings.minRadius,
maxRadius: settings.maxRadius,
);
if (circles.rows > 0 && circles.cols > 0) {
// Mat shape: (1, N, 3) usually for HoughCircles (CV_32FC3)
// We use at<Vec3f> directly.
for (int i = 0; i < circles.cols; i++) {
final vec = circles.at<cv.Vec3f>(0, i);
final x = vec.val1;
final y = vec.val2;
final r = vec.val3;
detectedImpacts.add(
OpenCVDetectedImpact(
x: x / img.cols,
y: y / img.rows,
radius: r,
confidence: 0.8,
method: 'hough',
),
);
}
}
// 2. Contour Detection (if enabled)
if (settings.useContourDetection) {
// Canny edge detection
final edges = cv.canny(
blurred,
settings.cannyThreshold1,
settings.cannyThreshold2,
);
// Find contours
final contoursResult = cv.findContours(
edges,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
// hierarchy is $2
for (int i = 0; i < contours.length; i++) {
final contour = contours[i];
// Filter by area
final area = cv.contourArea(contour);
if (area < settings.minContourArea ||
area > settings.maxContourArea) {
continue;
}
// Filter by circularity
final perimeter = cv.arcLength(contour, true);
if (perimeter == 0) continue;
final circularity = 4 * math.pi * area / (perimeter * perimeter);
if (circularity < settings.minCircularity) continue;
// Get bounding circle
final enclosingCircle = cv.minEnclosingCircle(contour);
final center = enclosingCircle.$1;
final radius = enclosingCircle.$2;
// Avoid duplicates (simple distance check against Hough results)
bool isDuplicate = false;
for (final existing in detectedImpacts) {
final dx = existing.x * img.cols - center.x;
final dy = existing.y * img.rows - center.y;
final dist = math.sqrt(dx * dx + dy * dy);
if (dist < radius) {
isDuplicate = true;
break;
}
}
if (!isDuplicate) {
detectedImpacts.add(
OpenCVDetectedImpact(
x: center.x / img.cols,
y: center.y / img.rows,
radius: radius,
confidence: circularity, // Use circularity as confidence
method: 'contour',
),
);
}
}
}
return detectedImpacts;
} catch (e) {
// print('OpenCV Error: $e');
return [];
}
}
/// Détecte les impacts en utilisant une image de référence
///
/// STUB: Retourne une liste vide car OpenCV est désactivé.
List<OpenCVDetectedImpact> detectFromReferences(
String imagePath,
List<({double x, double y})> referencePoints, {
double tolerance = 2.0,
}) {
print('OpenCV est désactivé - utilisation de la détection par références classique recommandée');
return [];
// Basic implementation: use average color/brightness of reference points
// This is a placeholder for a more complex template matching or feature matching
// For now, we can just run the standard detection but filter results
// based on properties of the reference points (e.g. size/radius if we had it).
// Returning standard detection for now to enable the feature.
return detectImpacts(imagePath);
}
}

View File

@@ -0,0 +1,240 @@
import 'dart:math' as math;
import 'package:opencv_dart/opencv_dart.dart' as cv;
class TargetDetectionResult {
final double centerX;
final double centerY;
final double radius;
final bool success;
TargetDetectionResult({
required this.centerX,
required this.centerY,
required this.radius,
this.success = true,
});
factory TargetDetectionResult.failure() {
return TargetDetectionResult(
centerX: 0.5,
centerY: 0.5,
radius: 0.4,
success: false,
);
}
}
class OpenCVTargetService {
/// Detect the main target (center and radius) from an image file
Future<TargetDetectionResult> detectTarget(String imagePath) async {
try {
// Read image
final img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (img.isEmpty) {
return TargetDetectionResult.failure();
}
// Convert to grayscale
final gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
// Apply Gaussian blur to reduce noise
final blurred = cv.gaussianBlur(gray, (9, 9), 2, sigmaY: 2);
// Detect circles using Hough Transform
// Parameters need to be tuned for the specific target type
final circles = cv.HoughCircles(
blurred,
cv.HOUGH_GRADIENT,
1, // dp
(img.rows / 16)
.toDouble(), // minDist decreased to allow more rings in same general area
param1: 100, // Canny edge detection
param2:
60, // Accumulator threshold (higher = fewer false circles, more accurate)
minRadius: img.cols ~/ 20,
maxRadius: img.cols ~/ 2,
);
// HoughCircles returns a Mat of shape (1, N, 3) where N is number of circles.
// In opencv_dart, we cannot iterate easily.
// However, we can access data via pointer if needed, or check if Vec3f is supported.
// Given the user report, `at<Vec3f>` likely failed compilation or runtime.
// Let's use a safer approach: assume standard memory layout (x, y, r, x, y, r...).
// Or use `at<double>` carefully.
// Better yet: try to use `circles.data` if available, but it returns a Pointer.
// Let's stick to `at` but use `double` and manual offset if Vec3f fails.
// actually, let's try to trust `at<double>` for flattened access OR `at<Vec3f>`.
// NOTE: `at<Vec3f>` was reported as "method at not defined for VecPoint2f" earlier, NOT for Mat.
// The user error was for `VecPoint2f`. `Mat` definitely has `at`.
// BUT `VecPoint2f` is a List-like structure in Dart wrapper.
// usage of `at` on `VecPoint2f` was the error.
// Here `circles` IS A MAT. So `at` IS defined.
// However, to be safe and robust, and to implement clustering...
if (circles.isEmpty) {
// Try with different parameters if first attempt fails (more lenient)
final looseCircles = cv.HoughCircles(
blurred,
cv.HOUGH_GRADIENT,
1,
(img.rows / 8).toDouble(),
param1: 100,
param2: 40,
minRadius: img.cols ~/ 20,
maxRadius: img.cols ~/ 2,
);
if (looseCircles.isEmpty) {
return TargetDetectionResult.failure();
}
return _findBestConcentricCircles(looseCircles, img.cols, img.rows);
}
return _findBestConcentricCircles(circles, img.cols, img.rows);
} catch (e) {
// print('Error detecting target with OpenCV: $e');
return TargetDetectionResult.failure();
}
}
TargetDetectionResult _findBestConcentricCircles(
cv.Mat circles,
int width,
int height,
) {
if (circles.rows == 0 || circles.cols == 0) {
return TargetDetectionResult.failure();
}
final int numCircles = circles.cols;
final List<({double x, double y, double r})> detected = [];
// Extract circles safely
// We'll use `at<double>` assuming the Mat is (1, N, 3) float32 (CV_32FC3 usually)
// Actually HoughCircles usually returns CV_32FC3.
// So we can access `at<cv.Vec3f>(0, i)`.
// If that fails, we can fall back. But since `Mat` has `at`, it should work unless generic is bad.
// Let's assume it works for Mat but checking boundaries.
// NOTE: If this throws "at not defined" (unlikely for Mat), we'd need another way.
// But since the previous error was on `VecPoint2f` (which is NOT a Mat), this should be fine.
for (int i = 0; i < numCircles; i++) {
// Access using Vec3f if possible, or try to interpret memory
// Using `at<cv.Vec3f>` is the standard way.
final vec = circles.at<cv.Vec3f>(0, i);
detected.add((x: vec.val1, y: vec.val2, r: vec.val3));
}
if (detected.isEmpty) return TargetDetectionResult.failure();
// Cluster circles by center position
// We consider circles "concentric" if their centers are within 5% of image min dimension
final double tolerance = math.min(width, height) * 0.05;
final List<List<({double x, double y, double r})>> clusters = [];
for (final circle in detected) {
bool added = false;
for (final cluster in clusters) {
// Calculate the actual center of the cluster based on the smallest circle (the likely bullseye)
double clusterCenterX = cluster.first.x;
double clusterCenterY = cluster.first.y;
double minRadiusInCluster = cluster.first.r;
for (final c in cluster) {
if (c.r < minRadiusInCluster) {
minRadiusInCluster = c.r;
clusterCenterX = c.x;
clusterCenterY = c.y;
}
}
final dist = math.sqrt(
math.pow(circle.x - clusterCenterX, 2) +
math.pow(circle.y - clusterCenterY, 2),
);
if (dist < tolerance) {
cluster.add(circle);
added = true;
break;
}
}
if (!added) {
clusters.add([circle]);
}
}
// Find the best cluster
// 1. Prefer clusters with more circles (concentric rings)
// 2. Tie-break: closest to image center
List<({double x, double y, double r})> bestCluster = clusters.first;
double bestScore = -1.0;
for (final cluster in clusters) {
// Score calculation
// Base score = number of circles squared (heavily favor concentric rings)
double score = math.pow(cluster.length, 2).toDouble() * 10.0;
// Small penalty for distance from center (only as tie-breaker)
double cx = 0, cy = 0;
for (final c in cluster) {
cx += c.x;
cy += c.y;
}
cx /= cluster.length;
cy /= cluster.length;
final distFromCenter = math.sqrt(
math.pow(cx - width / 2, 2) + math.pow(cy - height / 2, 2),
);
final relDist = distFromCenter / math.min(width, height);
score -=
relDist * 2.0; // Very minor penalty so we don't snap to screen center
// Penalize very small clusters if they are just noise
// (Optional: check if radii are somewhat distributed?)
if (score > bestScore) {
bestScore = score;
bestCluster = cluster;
}
}
// Compute final result from best cluster
// Center: Use the smallest circle (bullseye) for best precision
// Radius: Use the largest circle (outer edge) for full coverage
double centerX = 0;
double centerY = 0;
double maxR = 0;
double minR = double.infinity;
for (final c in bestCluster) {
if (c.r > maxR) {
maxR = c.r;
}
if (c.r < minR) {
minR = c.r;
centerX = c.x;
centerY = c.y;
}
}
// Fallback if something went wrong (shouldn't happen with non-empty cluster)
if (minR == double.infinity) {
centerX = bestCluster.first.x;
centerY = bestCluster.first.y;
}
return TargetDetectionResult(
centerX: centerX / width,
centerY: centerY / height,
radius: maxR / math.min(width, height),
success: true,
);
}
}

View File

@@ -2,9 +2,10 @@ import 'dart:math' as math;
import '../data/models/target_type.dart';
import 'image_processing_service.dart';
import 'opencv_impact_detection_service.dart';
export 'image_processing_service.dart' show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
export 'opencv_impact_detection_service.dart' show OpenCVDetectionSettings, OpenCVDetectedImpact;
export 'image_processing_service.dart'
show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
export 'opencv_impact_detection_service.dart'
show OpenCVDetectionSettings, OpenCVDetectedImpact;
class TargetDetectionResult {
final double centerX; // Relative (0-1)
@@ -56,14 +57,12 @@ class TargetDetectionService {
TargetDetectionService({
ImageProcessingService? imageProcessingService,
OpenCVImpactDetectionService? opencvService,
}) : _imageProcessingService = imageProcessingService ?? ImageProcessingService(),
}) : _imageProcessingService =
imageProcessingService ?? ImageProcessingService(),
_opencvService = opencvService ?? OpenCVImpactDetectionService();
/// Detect target and impacts from an image file
TargetDetectionResult detectTarget(
String imagePath,
TargetType targetType,
) {
TargetDetectionResult detectTarget(String imagePath, TargetType targetType) {
try {
// Detect main target
final mainTarget = _imageProcessingService.detectMainTarget(imagePath);
@@ -84,7 +83,13 @@ class TargetDetectionService {
// Convert impacts to relative coordinates and calculate scores
final detectedImpacts = impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScore(impact.x, impact.y, centerX, centerY, radius)
? _calculateConcentricScore(
impact.x,
impact.y,
centerX,
centerY,
radius,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
@@ -177,7 +182,13 @@ class TargetDetectionService {
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x, impact.y, centerX, centerY, radius, ringCount)
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
@@ -221,7 +232,10 @@ class TargetDetectionService {
String imagePath,
List<ReferenceImpact> references,
) {
return _imageProcessingService.analyzeReferenceImpacts(imagePath, references);
return _imageProcessingService.analyzeReferenceImpacts(
imagePath,
references,
);
}
/// Detect impacts based on reference characteristics (calibrated detection)
@@ -245,7 +259,13 @@ class TargetDetectionService {
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x, impact.y, centerX, centerY, radius, ringCount)
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
@@ -283,7 +303,13 @@ class TargetDetectionService {
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x, impact.y, centerX, centerY, radius, ringCount)
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
@@ -315,9 +341,7 @@ class TargetDetectionService {
}) {
try {
// Convertir les références au format OpenCV
final refPoints = references
.map((r) => (x: r.x, y: r.y))
.toList();
final refPoints = references.map((r) => (x: r.x, y: r.y)).toList();
final impacts = _opencvService.detectFromReferences(
imagePath,
@@ -328,7 +352,13 @@ class TargetDetectionService {
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x, impact.y, centerX, centerY, radius, ringCount)
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
@@ -343,4 +373,5 @@ class TargetDetectionService {
return [];
}
}
}

View File

@@ -5,11 +5,13 @@
import FlutterMacOS
import Foundation
import device_info_plus
import file_selector_macos
import path_provider_foundation
import sqflite_darwin
func RegisterGeneratedPlugins(registry: FlutterPluginRegistry) {
DeviceInfoPlusMacosPlugin.register(with: registry.registrar(forPlugin: "DeviceInfoPlusMacosPlugin"))
FileSelectorPlugin.register(with: registry.registrar(forPlugin: "FileSelectorPlugin"))
PathProviderPlugin.register(with: registry.registrar(forPlugin: "PathProviderPlugin"))
SqflitePlugin.register(with: registry.registrar(forPlugin: "SqflitePlugin"))

View File

@@ -25,14 +25,22 @@ packages:
url: "https://pub.dev"
source: hosted
version: "2.1.2"
change_case:
dependency: transitive
description:
name: change_case
sha256: e41ef3df58521194ef8d7649928954805aeb08061917cf658322305e61568003
url: "https://pub.dev"
source: hosted
version: "2.2.0"
characters:
dependency: transitive
description:
name: characters
sha256: faf38497bda5ead2a8c7615f4f7939df04333478bf32e4173fcb06d428b5716b
sha256: f71061c654a3380576a52b451dd5532377954cf9dbd272a78fc8479606670803
url: "https://pub.dev"
source: hosted
version: "1.4.1"
version: "1.4.0"
clock:
dependency: transitive
description:
@@ -61,10 +69,10 @@ packages:
dependency: transitive
description:
name: cross_file
sha256: "701dcfc06da0882883a2657c445103380e53e647060ad8d9dfb710c100996608"
sha256: "28bb3ae56f117b5aec029d702a90f57d285cd975c3c5c281eaca38dbc47c5937"
url: "https://pub.dev"
source: hosted
version: "0.3.5+1"
version: "0.3.5+2"
crypto:
dependency: transitive
description:
@@ -81,6 +89,30 @@ packages:
url: "https://pub.dev"
source: hosted
version: "1.0.8"
dartcv4:
dependency: transitive
description:
name: dartcv4
sha256: "43dba49162662f3b6e3daf5a95d071429365e2f1ada67d412b851fc9be442e58"
url: "https://pub.dev"
source: hosted
version: "2.2.1+1"
device_info_plus:
dependency: "direct main"
description:
name: device_info_plus
sha256: "6a642e1daa10190af89ba6cb6386c0df7d071a3592080bfe1e44faa63ae1df65"
url: "https://pub.dev"
source: hosted
version: "13.1.0"
device_info_plus_platform_interface:
dependency: transitive
description:
name: device_info_plus_platform_interface
sha256: "04b173a92e2d9161dfead145667037c8d834db725ce2e7b942bfe18fd2f45a46"
url: "https://pub.dev"
source: hosted
version: "8.1.0"
equatable:
dependency: transitive
description:
@@ -101,10 +133,18 @@ packages:
dependency: transitive
description:
name: ffi
sha256: d07d37192dbf97461359c1518788f203b0c9102cfd2c35a716b823741219542c
sha256: "6d7fd89431262d8f3125e81b50d3847a091d846eafcd4fdb88dd06f36d705a45"
url: "https://pub.dev"
source: hosted
version: "2.1.5"
version: "2.2.0"
ffi_leak_tracker:
dependency: transitive
description:
name: ffi_leak_tracker
sha256: "4093d4ef9ca06ffe2786e73bfb25e22aa92112b9bb4ec941f11e3e6b61489a97"
url: "https://pub.dev"
source: hosted
version: "0.1.2"
file:
dependency: transitive
description:
@@ -157,10 +197,10 @@ packages:
dependency: "direct main"
description:
name: fl_chart
sha256: "00b74ae680df6b1135bdbea00a7d1fc072a9180b7c3f3702e4b19a9943f5ed7d"
sha256: b938f77d042cbcd822936a7a359a7235bad8bd72070de1f827efc2cc297ac888
url: "https://pub.dev"
source: hosted
version: "0.66.2"
version: "1.2.0"
flutter:
dependency: "direct main"
description: flutter
@@ -174,6 +214,11 @@ packages:
url: "https://pub.dev"
source: hosted
version: "6.0.0"
flutter_localizations:
dependency: "direct main"
description: flutter
source: sdk
version: "0.0.0"
flutter_plugin_android_lifecycle:
dependency: transitive
description:
@@ -200,6 +245,14 @@ packages:
url: "https://pub.dev"
source: hosted
version: "2.1.3"
google_mlkit_document_scanner:
dependency: "direct main"
description:
name: google_mlkit_document_scanner
sha256: "67428ddb853880c8185049a5834cd328e6420921a74786f6aadee0b76f8536bd"
url: "https://pub.dev"
source: hosted
version: "0.2.1"
hooks:
dependency: transitive
description:
@@ -244,10 +297,10 @@ packages:
dependency: transitive
description:
name: image_picker_android
sha256: "5e9bf126c37c117cf8094215373c6d561117a3cfb50ebc5add1a61dc6e224677"
sha256: "518a16108529fc18657a3e6dde4a043dc465d16596d20ab2abd49a4cac2e703d"
url: "https://pub.dev"
source: hosted
version: "0.8.13+10"
version: "0.8.13+13"
image_picker_for_web:
dependency: transitive
description:
@@ -260,10 +313,10 @@ packages:
dependency: transitive
description:
name: image_picker_ios
sha256: "956c16a42c0c708f914021666ffcd8265dde36e673c9fa68c81f7d085d9774ad"
sha256: b9c4a438a9ff4f60808c9cf0039b93a42bb6c2211ef6ebb647394b2b3fa84588
url: "https://pub.dev"
source: hosted
version: "0.8.13+3"
version: "0.8.13+6"
image_picker_linux:
dependency: transitive
description:
@@ -300,10 +353,10 @@ packages:
dependency: "direct main"
description:
name: intl
sha256: d6f56758b7d3014a48af9701c085700aac781a92a87a62b1333b46d8879661cf
sha256: "3df61194eb431efc39c4ceba583b95633a403f46c9fd341e550ce0bfa50e9aa5"
url: "https://pub.dev"
source: hosted
version: "0.19.0"
version: "0.20.2"
leak_tracker:
dependency: transitive
description:
@@ -348,26 +401,26 @@ packages:
dependency: transitive
description:
name: matcher
sha256: "12956d0ad8390bbcc63ca2e1469c0619946ccb52809807067a7020d57e647aa6"
sha256: dc58c723c3c24bf8d3e2d3ad3f2f9d7bd9cf43ec6feaa64181775e60190153f2
url: "https://pub.dev"
source: hosted
version: "0.12.18"
version: "0.12.17"
material_color_utilities:
dependency: transitive
description:
name: material_color_utilities
sha256: "9c337007e82b1889149c82ed242ed1cb24a66044e30979c44912381e9be4c48b"
sha256: f7142bb1154231d7ea5f96bc7bde4bda2a0945d2806bb11670e30b850d56bdec
url: "https://pub.dev"
source: hosted
version: "0.13.0"
version: "0.11.1"
meta:
dependency: transitive
description:
name: meta
sha256: "1741988757a65eb6b36abe716829688cf01910bbf91c34354ff7ec1c3de2b349"
sha256: "23f08335362185a5ea2ad3a4e597f1375e78bce8a040df5c600c8d3552ef2394"
url: "https://pub.dev"
source: hosted
version: "1.18.0"
version: "1.17.0"
mime:
dependency: transitive
description:
@@ -384,6 +437,14 @@ packages:
url: "https://pub.dev"
source: hosted
version: "0.17.4"
native_toolchain_cmake:
dependency: transitive
description:
name: native_toolchain_cmake
sha256: fe40e8483183ced98e851e08a9cd2a547fd412cccab98277aa23f2377e43d66f
url: "https://pub.dev"
source: hosted
version: "0.2.4"
nested:
dependency: transitive
description:
@@ -392,6 +453,14 @@ packages:
url: "https://pub.dev"
source: hosted
version: "1.0.0"
opencv_dart:
dependency: "direct main"
description:
name: opencv_dart
sha256: c2b7cc614cad69c2857e9b684e3066af662a03fe7100f4dc9a630e81ad42103a
url: "https://pub.dev"
source: hosted
version: "2.2.1+1"
path:
dependency: "direct main"
description:
@@ -448,6 +517,54 @@ packages:
url: "https://pub.dev"
source: hosted
version: "2.3.0"
permission_handler:
dependency: "direct main"
description:
name: permission_handler
sha256: bc917da36261b00137bbc8896bf1482169cd76f866282368948f032c8c1caae1
url: "https://pub.dev"
source: hosted
version: "12.0.1"
permission_handler_android:
dependency: transitive
description:
name: permission_handler_android
sha256: "1e3bc410ca1bf84662104b100eb126e066cb55791b7451307f9708d4007350e6"
url: "https://pub.dev"
source: hosted
version: "13.0.1"
permission_handler_apple:
dependency: transitive
description:
name: permission_handler_apple
sha256: f000131e755c54cf4d84a5d8bd6e4149e262cc31c5a8b1d698de1ac85fa41023
url: "https://pub.dev"
source: hosted
version: "9.4.7"
permission_handler_html:
dependency: transitive
description:
name: permission_handler_html
sha256: "38f000e83355abb3392140f6bc3030660cfaef189e1f87824facb76300b4ff24"
url: "https://pub.dev"
source: hosted
version: "0.1.3+5"
permission_handler_platform_interface:
dependency: transitive
description:
name: permission_handler_platform_interface
sha256: eb99b295153abce5d683cac8c02e22faab63e50679b937fa1bf67d58bb282878
url: "https://pub.dev"
source: hosted
version: "4.3.0"
permission_handler_windows:
dependency: transitive
description:
name: permission_handler_windows
sha256: "1a790728016f79a41216d88672dbc5df30e686e811ad4e698bfc51f76ad91f1e"
url: "https://pub.dev"
source: hosted
version: "0.2.1"
petitparser:
dependency: transitive
description:
@@ -609,10 +726,10 @@ packages:
dependency: transitive
description:
name: test_api
sha256: "93167629bfc610f71560ab9312acdda4959de4df6fac7492c89ff0d3886f6636"
sha256: ab2726c1a94d3176a45960b6234466ec367179b87dd74f1611adb1f3b5fb9d55
url: "https://pub.dev"
source: hosted
version: "0.7.9"
version: "0.7.7"
typed_data:
dependency: transitive
description:
@@ -653,6 +770,22 @@ packages:
url: "https://pub.dev"
source: hosted
version: "1.1.1"
win32:
dependency: transitive
description:
name: win32
sha256: ba7d5750e3441caa1bbe31d9e516348fcf8dfcb32aa29ef87a844a59f4d1f1d0
url: "https://pub.dev"
source: hosted
version: "6.1.0"
win32_registry:
dependency: transitive
description:
name: win32_registry
sha256: "73b1d78920a9d6e03f8b4e43e612b87bf3152a0e5c5e5150267762b7c4116904"
url: "https://pub.dev"
source: hosted
version: "3.0.3"
xdg_directories:
dependency: transitive
description:
@@ -678,5 +811,5 @@ packages:
source: hosted
version: "3.1.3"
sdks:
dart: ">=3.12.0-35.0.dev <4.0.0"
flutter: ">=3.35.0"
dart: ">=3.10.0 <4.0.0"
flutter: ">=3.38.1"

View File

@@ -19,7 +19,7 @@ publish_to: 'none' # Remove this line if you wish to publish to pub.dev
version: 1.0.0+1
environment:
sdk: ^3.12.0-35.0.dev
sdk: '>=3.10.0 <4.0.0'
# Dependencies specify other packages that your package needs in order to work.
# To automatically upgrade your package dependencies to the latest versions
@@ -31,15 +31,17 @@ dependencies:
flutter:
sdk: flutter
flutter_localizations:
sdk: flutter
# The following adds the Cupertino Icons font to your application.
# Use with the CupertinoIcons class for iOS style icons.
cupertino_icons: ^1.0.8
# Image processing with OpenCV (désactivé temporairement - problèmes de build Windows)
# opencv_dart: ^2.1.0
opencv_dart: ^2.1.0
# Image capture from camera/gallery
image_picker: ^1.0.7
image_picker: ^1.2.1
google_mlkit_document_scanner: ^0.2.0
# Local database for history
sqflite: ^2.3.2
@@ -56,13 +58,18 @@ dependencies:
uuid: ^4.3.3
# Date formatting
intl: ^0.19.0
intl: ^0.20.2
# Charts for history visualization
fl_chart: ^0.66.2
fl_chart: ^1.2.0
# Image processing for impact detection
image: ^4.1.7
permission_handler: ^12.0.1
device_info_plus: ^13.1.0
# Machine Learning for YOLOv8
# tflite_flutter: ^0.11.0
dev_dependencies:
flutter_test:
@@ -88,6 +95,7 @@ flutter:
# To add assets to your application, add an assets section, like this:
# assets:
# - assets/models/yolov8n_32.tflite
# - images/a_dot_burr.jpeg
# - images/a_dot_ham.jpeg

View File

@@ -0,0 +1,12 @@
import 'package:opencv_dart/opencv_dart.dart' as cv;
void main() {
var p1 = cv.VecPoint.fromList([cv.Point(0, 0), cv.Point(1, 1)]);
var p2 = cv.VecPoint2f.fromList([cv.Point2f(0, 0), cv.Point2f(1, 1)]);
// Is it p1.mat ?
// Or is it cv.findHomography(p1, p1) but actually needs specific types ?
cv.Mat mat1 = cv.Mat.fromVec(p1);
cv.Mat mat2 = cv.Mat.fromVec(p2);
cv.findHomography(mat1, mat2);
}

View File

@@ -0,0 +1,7 @@
import 'package:opencv_dart/opencv_dart.dart' as cv;
void main() {
print(cv.approxPolyDP);
print(cv.arcLength);
print(cv.contourArea);
}

View File

@@ -0,0 +1,5 @@
import 'package:opencv_dart/opencv_dart.dart' as cv;
void main() {
print(cv.findHomography);
}

View File

@@ -7,8 +7,11 @@
#include "generated_plugin_registrant.h"
#include <file_selector_windows/file_selector_windows.h>
#include <permission_handler_windows/permission_handler_windows_plugin.h>
void RegisterPlugins(flutter::PluginRegistry* registry) {
FileSelectorWindowsRegisterWithRegistrar(
registry->GetRegistrarForPlugin("FileSelectorWindows"));
PermissionHandlerWindowsPluginRegisterWithRegistrar(
registry->GetRegistrarForPlugin("PermissionHandlerWindowsPlugin"));
}

View File

@@ -4,6 +4,7 @@
list(APPEND FLUTTER_PLUGIN_LIST
file_selector_windows
permission_handler_windows
)
list(APPEND FLUTTER_FFI_PLUGIN_LIST