feat: add PhotoOverlay component for visualizing and editing impact coordinates

detached branch a merge pour récupérer le travail

.vscode/settings.json

@@ -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"
+}

CHANGELOG.md

@@ -0,0 +1,25 @@
+# Changelog
+
+## [v0.0.1] - 2026-01-29
+
+### Ajouté
+-   **Interface d'Analyse** :
+    -   Implémentation d'un bouton de sauvegarde "Morphing" : le bouton flottant se transforme en un bouton large en bas de page lors du défilement.
+    -   Ajout de la gestion du défilement et de l'espacement pour une meilleure ergonomie.
+    -   Visualisation des impacts et statistiques de groupement.
+-   **Support Desktop (Windows)** :
+    -   Configuration de la base de données SQLite pour fonctionner sur Windows via `sqflite_common_ffi`.
+    -   Initialisation conditionnelle selon la plateforme.
+
+### Corrigé
+-   **Crash Windows** : Résolution du plantage dû à l'initialisation manquante de la factory de base de données FFI.
+-   **Dépendances** : Fixation de la version de `sqflite_common_ffi` à `2.3.3` pour contourner un problème de cache/corruption avec la version `2.4.0+2`.
+-   **UI/UX** :
+    -   Correction des débordements de texte ("zebra stripes") dans le bouton de sauvegarde lors de l'animation grâce à `FittedBox`.
+    -   Optimisation de l'affichage du titre "Groupement" dans les statistiques pour éviter les dépassements sur petits écrans.
+    -   Nettoyage des appels redondants (`super.initState`) et correction de la structure des widgets (`Stack` mal fermé).
+
+### Historique des Commits
+-   `db7160b` - +désactivation (2026-01-29)
+-   `f1a8eef` - ajout correctif (2026-01-28)
+-   `031d4a4` - premier app version beta (2026-01-18)

README.md

@@ -1,17 +1,35 @@
-# bully
+# Bully - Analyseur de Cible
 
-A new Flutter project.
+Application Flutter multiplateforme pour l'analyse et le suivi de vos séances de tir.
 
-## Getting Started
+## Fonctionnalités Principales
 
-This project is a starting point for a Flutter application.
+*   **Capture et Analyse** : Prenez une photo de votre cible et analysez vos impacts.
+*   **Détection Automatique** : Utilise des algorithmes pour détecter automatiquement les impacts de balle sur la cible.
+*   **Calibration** : Outils de calibration précis pour définir la taille et le centre de la cible, assurant des mesures exactes.
+*   **Statistiques Détaillées** :
+    *   Calcul du score total.
+    *   Analyse du groupement (H+L, diamètre moyen).
+    *   Visualisation graphique de la dispersion.
+*   **Historique** : Sauvegardez vos sessions avec des notes et consultez votre progression au fil du temps.
+*   **Interface Intuitive** : Design moderne et fluide, avec un bouton de sauvegarde dynamique qui s'adapte à votre navigation.
 
-A few resources to get you started if this is your first Flutter project:
+## Détails Techniques
 
-- [Learn Flutter](https://docs.flutter.dev/get-started/learn-flutter)
+*   **Framework** : Flutter (Compatible Android, iOS, Windows, Linux, macOS).
-- [Write your first Flutter app](https://docs.flutter.dev/get-started/codelab)
+*   **Base de Données** : SQLite (via `sqflite` et `sqflite_common_ffi` pour le support Desktop).
-- [Flutter learning resources](https://docs.flutter.dev/reference/learning-resources)
+*   **Graphiques** : `fl_chart` pour la visualisation des données.
+*   **Architecture** : Provider pour la gestion d'état.
 
-For help getting started with Flutter development, view the
+## Installation
-[online documentation](https://docs.flutter.dev/), which offers tutorials,
+
-samples, guidance on mobile development, and a full API reference.
+1.  Assurez-vous d'avoir Flutter installé.
+2.  Clonez le dépôt.
+3.  Installez les dépendances :
+    ```bash
+    flutter pub get
+    ```
+4.  Lancez l'application :
+    ```bash
+    flutter run
+    ```

analyze_log.txt

@@ -0,0 +1,31 @@
+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)

analyze_results_fixed.txt

@@ -0,0 +1,37 @@
+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
+

analyze_utf8.txt

@@ -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
+

android/app/build.gradle.kts

@@ -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")
         }
     }
 }

android/app/proguard-rules.pro

@@ -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

android/app/src/main/AndroidManifest.xml

@@ -1,4 +1,6 @@
 <manifest xmlns:android="http://schemas.android.com/apk/res/android">
+    <uses-permission android:name="android.permission.CAMERA" />
+
     <application
         android:label="bully"
         android:name="${applicationName}"

backendia/.gitignore

@@ -0,0 +1,38 @@
+# Dependencies
+node_modules/
+dashboard/node_modules/
+
+# Next.js build output
+dashboard/.next/
+dashboard/out/
+
+# Environment variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Database
+backendia/uploads/data/database.sqlite
+*.sqlite
+*.sqlite-journal
+
+# Uploads and Exports (Ignore content but keep directories)
+uploads/images/*
+!uploads/images/.gitkeep
+uploads/data/*
+!uploads/data/.gitkeep
+!uploads/data/database.sqlite
+exports/*
+!exports/.gitkeep
+
+# Logs
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+*.log
+
+# OS files
+.DS_Store
+Thumbs.db

backendia/dashboard/.gitignore

@@ -0,0 +1,41 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.*
+.yarn/*
+!.yarn/patches
+!.yarn/plugins
+!.yarn/releases
+!.yarn/versions
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# env files (can opt-in for committing if needed)
+.env*
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts

backendia/dashboard/AGENTS.md

@@ -0,0 +1,5 @@
+<!-- BEGIN:nextjs-agent-rules -->
+# This is NOT the Next.js you know
+
+This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices.
+<!-- END:nextjs-agent-rules -->

backendia/dashboard/CLAUDE.md

@@ -0,0 +1 @@
+@AGENTS.md

backendia/dashboard/README.md

@@ -0,0 +1,36 @@
+This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
+
+## Getting Started
+
+First, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+# or
+bun dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
+
+This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
+
+## Learn More
+
+To learn more about Next.js, take a look at the following resources:
+
+- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
+- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
+
+You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
+
+## Deploy on Vercel
+
+The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
+
+Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

backendia/dashboard/eslint.config.mjs

@@ -0,0 +1,18 @@
+import { defineConfig, globalIgnores } from "eslint/config";
+import nextVitals from "eslint-config-next/core-web-vitals";
+import nextTs from "eslint-config-next/typescript";
+
+const eslintConfig = defineConfig([
+  ...nextVitals,
+  ...nextTs,
+  // Override default ignores of eslint-config-next.
+  globalIgnores([
+    // Default ignores of eslint-config-next:
+    ".next/**",
+    "out/**",
+    "build/**",
+    "next-env.d.ts",
+  ]),
+]);
+
+export default eslintConfig;

backendia/dashboard/next.config.ts

@@ -0,0 +1,17 @@
+import type { NextConfig } from "next";
+
+const nextConfig: NextConfig = {
+  /* config options here */
+  images: {
+    remotePatterns: [
+      {
+        protocol: 'http',
+        hostname: '127.0.0.1',
+        port: '3000',
+        pathname: '/uploads/**',
+      },
+    ],
+  },
+};
+
+export default nextConfig;

backendia/dashboard/package.json

@@ -0,0 +1,29 @@
+{
+  "name": "dashboard",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "eslint"
+  },
+  "dependencies": {
+    "clsx": "^2.1.1",
+    "lucide-react": "^1.14.0",
+    "next": "16.2.4",
+    "react": "19.2.4",
+    "react-dom": "19.2.4",
+    "tailwind-merge": "^3.5.0"
+  },
+  "devDependencies": {
+    "@tailwindcss/postcss": "^4",
+    "@types/node": "^20",
+    "@types/react": "^19",
+    "@types/react-dom": "^19",
+    "eslint": "^9",
+    "eslint-config-next": "16.2.4",
+    "tailwindcss": "^4",
+    "typescript": "^5"
+  }
+}

backendia/dashboard/postcss.config.mjs

@@ -0,0 +1,7 @@
+const config = {
+  plugins: {
+    "@tailwindcss/postcss": {},
+  },
+};
+
+export default config;

backendia/dashboard/public/file.svg

@@ -0,0 +1 @@
+<svg fill="none" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg"><path d="M14.5 13.5V5.41a1 1 0 0 0-.3-.7L9.8.29A1 1 0 0 0 9.08 0H1.5v13.5A2.5 2.5 0 0 0 4 16h8a2.5 2.5 0 0 0 2.5-2.5m-1.5 0v-7H8v-5H3v12a1 1 0 0 0 1 1h8a1 1 0 0 0 1-1M9.5 5V2.12L12.38 5zM5.13 5h-.62v1.25h2.12V5zm-.62 3h7.12v1.25H4.5zm.62 3h-.62v1.25h7.12V11z" clip-rule="evenodd" fill="#666" fill-rule="evenodd"/></svg>

backendia/dashboard/public/globe.svg

@@ -0,0 +1 @@
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backendia/dashboard/public/next.svg

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backendia/dashboard/public/vercel.svg

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+<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1155 1000"><path d="m577.3 0 577.4 1000H0z" fill="#fff"/></svg>

backendia/dashboard/public/window.svg

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+<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.5 2.5h13v10a1 1 0 0 1-1 1h-11a1 1 0 0 1-1-1zM0 1h16v11.5a2.5 2.5 0 0 1-2.5 2.5h-11A2.5 2.5 0 0 1 0 12.5zm3.75 4.5a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5M7 4.75a.75.75 0 1 1-1.5 0 .75.75 0 0 1 1.5 0m1.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5" fill="#666"/></svg>

backendia/dashboard/src/app/contributors/page.tsx

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+import { fetchApi } from "@/lib/api";
+import { Users, Award, Camera, Clock } from "lucide-react";
+
+interface Contributor {
+  wallet_hash: string;
+  photo_count: number;
+  last_upload: string;
+}
+
+export default async function ContributorsPage() {
+  let contributors: Contributor[] = [];
+  try {
+    const response = await fetchApi('/api/contributors');
+    contributors = response.contributors;
+  } catch (error) {
+    console.error("Error fetching contributors:", error);
+  }
+
+  return (
+    <div className="space-y-8">
+      <div className="flex flex-col gap-2">
+        <h2 className="text-3xl font-bold tracking-tight">Top Contributeurs</h2>
+        <p className="text-slate-400">Classement des utilisateurs selon leur contribution à l'entraînement de l'IA.</p>
+      </div>
+
+      <div className="grid grid-cols-1 lg:grid-cols-4 gap-6">
+        {/* Stats Summary */}
+        <div className="lg:col-span-1 space-y-6">
+          <StatCard 
+            title="Total Contributeurs" 
+            value={contributors.length} 
+            icon={<Users className="text-indigo-400" />} 
+          />
+          <StatCard 
+            title="Total Photos" 
+            value={contributors.reduce((acc, c) => acc + c.photo_count, 0)} 
+            icon={<Camera className="text-emerald-400" />} 
+          />
+        </div>
+
+        {/* Table */}
+        <div className="lg:col-span-3 bg-slate-900 border border-slate-800 rounded-2xl overflow-hidden">
+          <table className="w-full text-left">
+            <thead className="bg-slate-950/50 border-b border-slate-800">
+              <tr>
+                <th className="px-6 py-4 text-xs font-bold text-slate-500 uppercase tracking-widest">Rang</th>
+                <th className="px-6 py-4 text-xs font-bold text-slate-500 uppercase tracking-widest">Wallet Hash</th>
+                <th className="px-6 py-4 text-xs font-bold text-slate-500 uppercase tracking-widest text-center">Photos</th>
+                <th className="px-6 py-4 text-xs font-bold text-slate-500 uppercase tracking-widest text-right">Dernier Upload</th>
+              </tr>
+            </thead>
+            <tbody className="divide-y divide-slate-800">
+              {contributors.map((c, index) => (
+                <tr key={c.wallet_hash} className="hover:bg-slate-800/30 transition-colors">
+                  <td className="px-6 py-4">
+                    <div className="flex items-center gap-3">
+                      {index < 3 ? (
+                        <Award className={index === 0 ? "text-yellow-500" : index === 1 ? "text-slate-400" : "text-amber-700"} />
+                      ) : (
+                        <span className="text-slate-500 font-mono w-6 text-center">#{index + 1}</span>
+                      )}
+                    </div>
+                  </td>
+                  <td className="px-6 py-4">
+                    <span className="font-mono text-xs text-slate-300">{c.wallet_hash}</span>
+                  </td>
+                  <td className="px-6 py-4 text-center">
+                    <span className="px-2 py-1 bg-indigo-500/10 text-indigo-400 rounded-md text-xs font-bold border border-indigo-500/20">
+                      {c.photo_count}
+                    </span>
+                  </td>
+                  <td className="px-6 py-4 text-right text-xs text-slate-400 flex items-center justify-end gap-2">
+                    <Clock size={14} />
+                    {new Date(c.last_upload).toLocaleString()}
+                  </td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+          
+          {contributors.length === 0 && (
+            <div className="py-24 text-center text-slate-500">
+              Aucun contributeur enregistré pour le moment.
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function StatCard({ title, value, icon }: any) {
+  return (
+    <div className="bg-slate-900 border border-slate-800 p-6 rounded-2xl flex items-center justify-between">
+      <div className="space-y-1">
+        <p className="text-xs text-slate-500 font-bold uppercase tracking-widest">{title}</p>
+        <p className="text-3xl font-bold">{value}</p>
+      </div>
+      <div className="w-12 h-12 bg-slate-800 rounded-xl flex items-center justify-center shadow-inner">
+        {icon}
+      </div>
+    </div>
+  );
+}

backendia/dashboard/src/app/globals.css

@@ -0,0 +1,26 @@
+@import "tailwindcss";
+
+:root {
+  --background: #ffffff;
+  --foreground: #171717;
+}
+
+@theme inline {
+  --color-background: var(--background);
+  --color-foreground: var(--foreground);
+  --font-sans: var(--font-geist-sans);
+  --font-mono: var(--font-geist-mono);
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --background: #0a0a0a;
+    --foreground: #ededed;
+  }
+}
+
+body {
+  background: var(--background);
+  color: var(--foreground);
+  font-family: Arial, Helvetica, sans-serif;
+}

backendia/dashboard/src/app/layout.tsx

@@ -0,0 +1,67 @@
+import type { Metadata } from "next";
+import { Inter } from "next/font/google";
+import "./globals.css";
+import Link from "next/link";
+import { LayoutDashboard, Users, Image as ImageIcon } from "lucide-react";
+
+const inter = Inter({ subsets: ["latin"] });
+
+export const metadata: Metadata = {
+  title: "Bully IA Dashboard",
+  description: "Visualisation des données d'analyse de cibles",
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html lang="fr" className="dark">
+      <body className={`${inter.className} bg-slate-950 text-slate-50 min-h-screen flex`}>
+        {/* Sidebar */}
+        <aside className="w-64 border-r border-slate-800 bg-slate-900/50 p-6 flex flex-col gap-8">
+          <div className="flex items-center gap-3 px-2">
+            <div className="w-8 h-8 bg-indigo-600 rounded-lg flex items-center justify-center font-bold">B</div>
+            <h1 className="text-xl font-bold tracking-tight">Bully IA</h1>
+          </div>
+          
+          <nav className="flex flex-col gap-2">
+            <Link 
+              href="/" 
+              className="flex items-center gap-3 px-3 py-2 rounded-lg hover:bg-slate-800 transition-colors text-slate-300 hover:text-white"
+            >
+              <LayoutDashboard size={20} />
+              Tableau de bord
+            </Link>
+            <Link 
+              href="/contributors" 
+              className="flex items-center gap-3 px-3 py-2 rounded-lg hover:bg-slate-800 transition-colors text-slate-300 hover:text-white"
+            >
+              <Users size={20} />
+              Contributeurs
+            </Link>
+          </nav>
+
+          <div className="mt-auto pt-6 border-t border-slate-800">
+            <p className="text-xs text-slate-500 px-2">v1.0.0 Alpha</p>
+          </div>
+        </aside>
+
+        {/* Main Content */}
+        <main className="flex-1 flex flex-col">
+          <header className="h-16 border-b border-slate-800 flex items-center px-8 bg-slate-900/20">
+            <div className="flex items-center gap-2 text-sm text-slate-400">
+              <span>Admin</span>
+              <span>/</span>
+              <span className="text-slate-200">Dashboard</span>
+            </div>
+          </header>
+          <div className="flex-1 p-8 overflow-auto">
+            {children}
+          </div>
+        </main>
+      </body>
+    </html>
+  );
+}

backendia/dashboard/src/app/page.tsx

@@ -0,0 +1,105 @@
+import { fetchApi, API_BASE_URL } from "@/lib/api";
+import DatasetToolbar from "@/components/DatasetToolbar";
+import { Calendar, User, Crosshair } from "lucide-react";
+import Link from "next/link";
+
+interface PlottingData {
+  session_id: string;
+  wallet_hash: string;
+  timestamp: string;
+  plotting: {
+    impacts: any[];
+  };
+}
+
+interface PhotoData {
+  filename: string;
+  imageUrl: string;
+  data: PlottingData | null;
+}
+
+export default async function DashboardPage() {
+  let photos: PhotoData[] = [];
+  try {
+    const response = await fetchApi('/api/all-data');
+    photos = response.data;
+  } catch (error) {
+    console.error("Error fetching photos:", error);
+  }
+
+  return (
+    <div className="space-y-8">
+      <div className="flex flex-col md:flex-row md:items-end justify-between gap-4">
+        <div className="flex flex-col gap-2">
+          <h2 className="text-3xl font-bold tracking-tight">Galerie des Sessions</h2>
+          <p className="text-slate-400">Visualisez et gérez les données d'entraînement collectées.</p>
+        </div>
+      </div>
+
+      <DatasetToolbar />
+
+      <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-6">
+        {photos.map((photo) => (
+          <Link 
+            key={photo.filename} 
+            href={`/photo/${photo.filename}`}
+            className="group relative bg-slate-900 rounded-xl border border-slate-800 overflow-hidden hover:border-indigo-500/50 transition-all hover:shadow-2xl hover:shadow-indigo-500/10"
+          >
+            {/* Image Preview */}
+            <div className="aspect-[3/4] relative overflow-hidden bg-slate-800">
+              {/* eslint-disable-next-line @next/next/no-img-element */}
+              <img 
+                src={`${API_BASE_URL}${photo.imageUrl}`}
+                alt={photo.filename}
+                className="w-full h-full object-cover group-hover:scale-105 transition-transform duration-500"
+              />
+              <div className="absolute inset-0 bg-gradient-to-t from-slate-950 via-transparent to-transparent opacity-80" />
+              
+              {/* Badge impacts */}
+              {photo.data?.plotting?.impacts && (
+                <div className="absolute top-3 right-3 bg-indigo-600/90 backdrop-blur-md px-2 py-1 rounded-md text-[10px] font-bold flex items-center gap-1">
+                  <Crosshair size={12} />
+                  {photo.data.plotting.impacts.length} IMPACTS
+                </div>
+              )}
+            </div>
+
+            {/* Info */}
+            <div className="p-4 space-y-3">
+              <div className="flex items-center justify-between">
+                <div className="flex items-center gap-2 text-xs text-slate-400">
+                  <Calendar size={14} className="text-indigo-400" />
+                  {photo.data ? new Date(photo.data.timestamp).toLocaleDateString() : 'Date inconnue'}
+                </div>
+                {photo.data ? (
+                  <span className="text-[10px] bg-emerald-500/10 text-emerald-400 px-1.5 py-0.5 rounded border border-emerald-500/20 font-bold">DATA OK</span>
+                ) : (
+                  <span className="text-[10px] bg-rose-500/10 text-rose-400 px-1.5 py-0.5 rounded border border-rose-500/20 font-bold">NO DATA</span>
+                )}
+              </div>
+              
+              <div className="flex items-center gap-2 text-xs text-slate-300 font-mono truncate">
+                <User size={14} className="text-indigo-400" />
+                {photo.data?.wallet_hash?.substring(0, 12) || 'Anonyme'}...
+              </div>
+              
+              <div className="pt-2 border-t border-slate-800 flex justify-between items-center">
+                <span className="text-[10px] text-slate-500 uppercase tracking-widest font-bold">Session ID</span>
+                <span className="text-xs text-slate-300 font-mono truncate max-w-[120px]">
+                  {photo.data?.session_id || 'N/A'}
+                </span>
+              </div>
+            </div>
+          </Link>
+        ))}
+      </div>
+
+      {photos.length === 0 && (
+        <div className="flex flex-col items-center justify-center py-24 text-slate-500 gap-4 border-2 border-dashed border-slate-800 rounded-3xl">
+          <Crosshair size={48} className="opacity-20" />
+          <p>Aucune session d'entraînement trouvée.</p>
+        </div>
+      )}
+    </div>
+  );
+}

backendia/dashboard/src/app/photo/[id]/page.tsx

@@ -0,0 +1,49 @@
+import { fetchApi, API_BASE_URL } from "@/lib/api";
+import PhotoEditor from "@/components/PhotoEditor";
+import { ChevronLeft, Download } from "lucide-react";
+import Link from "next/link";
+
+export default async function PhotoDetailPage({ params }: { params: Promise<{ id: string }> }) {
+  const { id: encodedId } = await params;
+  const id = decodeURIComponent(encodedId);
+  let photo = null;
+
+  try {
+    const response = await fetchApi('/api/all-data');
+    photo = response.data.find((p: any) => p.filename === id);
+  } catch (error) {
+    console.error("Error fetching photo detail:", error);
+  }
+
+  if (!photo) {
+    return <div className="p-12 text-center">Session non trouvée.</div>;
+  }
+
+  return (
+    <div className="space-y-8">
+      {/* Header */}
+      <div className="flex items-center justify-between">
+        <Link 
+          href="/" 
+          className="flex items-center gap-2 text-slate-400 hover:text-white transition-colors"
+        >
+          <ChevronLeft size={20} />
+          Retour à la galerie
+        </Link>
+        
+        <div className="flex gap-3">
+          <a 
+            href={`${API_BASE_URL}/uploads/images/${id}`}
+            download
+            className="flex items-center gap-2 bg-slate-800 hover:bg-slate-700 px-4 py-2 rounded-lg text-sm font-medium transition-colors"
+          >
+            <Download size={18} />
+            Image Originale
+          </a>
+        </div>
+      </div>
+
+      <PhotoEditor initialPhoto={photo} />
+    </div>
+  );
+}

backendia/dashboard/src/components/DatasetToolbar.tsx

@@ -0,0 +1,98 @@
+"use client";
+
+import { useState } from "react";
+import { Download, Archive, AlertTriangle, Check, RefreshCw } from "lucide-react";
+import { API_BASE_URL } from "@/lib/api";
+import { useRouter } from "next/navigation";
+
+export default function DatasetToolbar() {
+  const router = useRouter();
+  const [isExporting, setIsExporting] = useState(false);
+  const [isArchiving, setIsArchiving] = useState(false);
+  const [showArchiveConfirm, setShowArchiveConfirm] = useState(false);
+
+  const handleExport = async () => {
+    setIsExporting(true);
+    try {
+      // On ouvre simplement l'URL dans un nouvel onglet pour déclencher le téléchargement
+      window.open(`${API_BASE_URL}/api/export/zip`, '_blank');
+    } catch (error) {
+      console.error("Export error:", error);
+    } finally {
+      setIsExporting(false);
+    }
+  };
+
+  const handleArchive = async () => {
+    setIsArchiving(true);
+    try {
+      const response = await fetch(`${API_BASE_URL}/api/export/archive`, {
+        method: "POST"
+      });
+      if (response.ok) {
+        setShowArchiveConfirm(false);
+        router.refresh(); // Rafraîchir la galerie
+      } else {
+        alert("Erreur lors de l'archivage");
+      }
+    } catch (error) {
+      console.error("Archive error:", error);
+      alert("Erreur réseau");
+    } finally {
+      setIsArchiving(false);
+    }
+  };
+
+  return (
+    <div className="bg-slate-900 border border-slate-800 rounded-2xl p-6 flex flex-col md:flex-row items-center justify-between gap-6 shadow-xl shadow-indigo-500/5">
+      <div className="space-y-1">
+        <h3 className="font-bold text-lg flex items-center gap-2">
+          <RefreshCw size={20} className="text-indigo-400" />
+          Gestion du Dataset
+        </h3>
+        <p className="text-xs text-slate-500">Exportez vos sessions étiquetées en ZIP et archivez-les pour nettoyer la galerie.</p>
+      </div>
+
+      <div className="flex gap-3">
+        <button 
+          onClick={handleExport}
+          disabled={isExporting}
+          className="flex items-center gap-2 bg-indigo-600 hover:bg-indigo-500 disabled:opacity-50 px-5 py-2.5 rounded-xl text-sm font-bold transition-all hover:scale-105 active:scale-95 shadow-lg shadow-indigo-600/20"
+        >
+          <Download size={18} />
+          {isExporting ? "Préparation..." : "Télécharger ZIP"}
+        </button>
+
+        {!showArchiveConfirm ? (
+          <button 
+            onClick={() => setShowArchiveConfirm(true)}
+            className="flex items-center gap-2 bg-slate-800 hover:bg-slate-700 px-5 py-2.5 rounded-xl text-sm font-bold transition-all border border-slate-700"
+          >
+            <Archive size={18} />
+            Archiver les sessions
+          </button>
+        ) : (
+          <div className="flex items-center gap-2 animate-in fade-in slide-in-from-right-4 duration-300">
+            <div className="flex items-center gap-2 px-4 py-2 bg-rose-500/10 border border-rose-500/20 rounded-xl text-rose-400 text-xs font-bold">
+              <AlertTriangle size={14} />
+              Vider la galerie ?
+            </div>
+            <button 
+              onClick={handleArchive}
+              disabled={isArchiving}
+              className="bg-rose-600 hover:bg-rose-500 p-2.5 rounded-xl transition-colors disabled:opacity-50"
+            >
+              <Check size={18} className="text-white" />
+            </button>
+            <button 
+              onClick={() => setShowArchiveConfirm(false)}
+              className="bg-slate-800 hover:bg-slate-700 p-2.5 rounded-xl transition-colors"
+            >
+              <Archive size={18} className="text-slate-400" />
+            </button>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}

backendia/dashboard/src/components/PhotoEditor.tsx

@@ -0,0 +1,226 @@
+"use client";
+
+import { useState } from "react";
+import PhotoOverlay from "./PhotoOverlay";
+import { Info, Calendar, User, Smartphone, Cpu, Save, Edit2, X, Trash2, Check, Tag } from "lucide-react";
+import { API_BASE_URL } from "@/lib/api";
+import { useRouter } from "next/navigation";
+
+interface PhotoEditorProps {
+  initialPhoto: any;
+}
+
+const PREDEFINED_LABELS = ["bullet_hole", "tear", "miss", "rebound", "other"];
+
+export default function PhotoEditor({ initialPhoto }: PhotoEditorProps) {
+  const router = useRouter();
+  const [isEditing, setIsEditing] = useState(false);
+  const [photoData, setPhotoData] = useState(initialPhoto.data);
+  const [isSaving, setIsSaving] = useState(false);
+
+  const handleImpactsChange = (newImpacts: any[]) => {
+    setPhotoData({
+      ...photoData,
+      plotting: {
+        ...photoData.plotting,
+        impacts: newImpacts
+      }
+    });
+  };
+
+  const updateLabel = (index: number, label: string) => {
+    const newImpacts = [...photoData.plotting.impacts];
+    newImpacts[index] = { ...newImpacts[index], label };
+    handleImpactsChange(newImpacts);
+  };
+
+  const updateScore = (index: number, score: number) => {
+    const newImpacts = [...photoData.plotting.impacts];
+    newImpacts[index] = { ...newImpacts[index], score };
+    handleImpactsChange(newImpacts);
+  };
+
+  const handleSave = async () => {
+    setIsSaving(true);
+    try {
+      const response = await fetch(`${API_BASE_URL}/api/data/${initialPhoto.filename}`, {
+        method: "PUT",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify(photoData),
+      });
+
+      if (response.ok) {
+        setIsEditing(false);
+        router.refresh();
+      } else {
+        alert("Erreur lors de la sauvegarde");
+      }
+    } catch (error) {
+      console.error("Save error:", error);
+      alert("Erreur réseau");
+    } finally {
+      setIsSaving(false);
+    }
+  };
+
+  const impacts = photoData?.plotting?.impacts || [];
+
+  return (
+    <div className="grid grid-cols-1 xl:grid-cols-3 gap-8">
+      {/* Main View */}
+      <div className="xl:col-span-2 space-y-4">
+        <div className="flex items-center justify-between bg-slate-900/50 p-4 rounded-xl border border-slate-800">
+          <div className="flex items-center gap-3">
+            <div className={`w-2 h-2 rounded-full ${isEditing ? 'bg-amber-500 animate-pulse' : 'bg-emerald-500'}`} />
+            <span className="text-sm font-medium">
+              {isEditing ? "Mode Édition Actif" : "Mode Visualisation"}
+            </span>
+          </div>
+          
+          <div className="flex gap-2">
+            {isEditing ? (
+              <>
+                <button 
+                  onClick={() => {
+                    setPhotoData(initialPhoto.data);
+                    setIsEditing(false);
+                  }}
+                  className="flex items-center gap-2 bg-slate-800 hover:bg-slate-700 px-4 py-2 rounded-lg text-sm font-medium transition-colors"
+                >
+                  <X size={18} />
+                  Annuler
+                </button>
+                <button 
+                  onClick={handleSave}
+                  disabled={isSaving}
+                  className="flex items-center gap-2 bg-indigo-600 hover:bg-indigo-500 px-4 py-2 rounded-lg text-sm font-medium transition-colors disabled:opacity-50"
+                >
+                  <Save size={18} />
+                  {isSaving ? "Enregistrement..." : "Enregistrer"}
+                </button>
+              </>
+            ) : (
+              <button 
+                onClick={() => setIsEditing(true)}
+                className="flex items-center gap-2 bg-indigo-600 hover:bg-indigo-500 px-4 py-2 rounded-lg text-sm font-medium transition-colors"
+              >
+                <Edit2 size={18} />
+                Modifier les points
+              </button>
+            )}
+          </div>
+        </div>
+
+        <PhotoOverlay 
+          imageUrl={`${API_BASE_URL}${initialPhoto.imageUrl}`}
+          impacts={impacts}
+          targetCorners={photoData?.plotting?.target_corners || []}
+          isEditing={isEditing}
+          onImpactsChange={handleImpactsChange}
+        />
+      </div>
+
+      {/* Sidebar Info & Labeling */}
+      <div className="space-y-6">
+        {/* Labeling Section (Only if editing or has impacts) */}
+        <div className="bg-slate-900 border border-slate-800 rounded-2xl p-6 space-y-4">
+          <div className="flex items-center justify-between pb-4 border-b border-slate-800">
+            <div className="flex items-center gap-3">
+              <Tag className="text-indigo-400" size={20} />
+              <h3 className="font-bold text-lg">Étiquetage (Impacts)</h3>
+            </div>
+            <span className="bg-slate-800 text-slate-400 text-[10px] font-bold px-2 py-0.5 rounded">
+              {impacts.length} TOTAL
+            </span>
+          </div>
+
+          <div className="space-y-3 max-h-[400px] overflow-auto pr-2 custom-scrollbar">
+            {impacts.map((impact: any, index: number) => (
+              <div key={impact.id} className="bg-slate-950 p-3 rounded-xl border border-slate-800 space-y-3 group">
+                <div className="flex items-center justify-between">
+                  <span className="text-[10px] font-bold text-slate-500 uppercase">Impact #{impact.id}</span>
+                  {isEditing && (
+                    <button 
+                      onClick={(e) => {
+                        const newImpacts = impacts.filter((_: any, i: number) => i !== index);
+                        handleImpactsChange(newImpacts);
+                      }}
+                      className="text-slate-600 hover:text-rose-500 transition-colors"
+                    >
+                      <Trash2 size={14} />
+                    </button>
+                  )}
+                </div>
+
+                <div className="grid grid-cols-2 gap-2">
+                  <div className="space-y-1">
+                    <label className="text-[10px] text-slate-500 font-bold uppercase">Label</label>
+                    {isEditing ? (
+                      <select 
+                        value={impact.label}
+                        onChange={(e) => updateLabel(index, e.target.value)}
+                        className="w-full bg-slate-900 border border-slate-800 rounded px-2 py-1 text-xs outline-none focus:border-indigo-500"
+                      >
+                        {PREDEFINED_LABELS.map(l => <option key={l} value={l}>{l}</option>)}
+                      </select>
+                    ) : (
+                      <div className="text-xs text-indigo-300 font-medium">{impact.label}</div>
+                    )}
+                  </div>
+                  <div className="space-y-1">
+                    <label className="text-[10px] text-slate-500 font-bold uppercase">Score</label>
+                    {isEditing ? (
+                      <input 
+                        type="number"
+                        min="0"
+                        max="10"
+                        value={impact.score}
+                        onChange={(e) => updateScore(index, parseInt(e.target.value) || 0)}
+                        className="w-full bg-slate-900 border border-slate-800 rounded px-2 py-1 text-xs outline-none focus:border-indigo-500"
+                      />
+                    ) : (
+                      <div className="text-xs text-emerald-400 font-bold">{impact.score}</div>
+                    )}
+                  </div>
+                </div>
+              </div>
+            ))}
+
+            {impacts.length === 0 && (
+              <p className="text-center py-8 text-xs text-slate-500 italic">
+                Aucun impact détecté. {isEditing ? "Cliquez sur l'image pour en ajouter." : ""}
+              </p>
+            )}
+          </div>
+        </div>
+
+        {/* Metadata Card (Read Only) */}
+        <div className="bg-slate-900/50 border border-slate-800 rounded-2xl p-6 space-y-4 opacity-80">
+          <div className="flex items-center gap-3 pb-2 border-b border-slate-800">
+            <Info className="text-slate-400" size={18} />
+            <h3 className="font-bold text-sm text-slate-300">Métadonnées Session</h3>
+          </div>
+          <div className="space-y-3">
+            <InfoItem icon={<Calendar size={14} />} label="Date" value={photoData ? new Date(photoData.timestamp).toLocaleString() : 'Inconnue'} />
+            <InfoItem icon={<User size={14} />} label="Contributeur" value={photoData?.wallet_hash || 'Anonyme'} isMono />
+            <InfoItem icon={<Smartphone size={14} />} label="Appareil" value={photoData?.device_info?.model || 'Inconnu'} />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function InfoItem({ icon, label, value, isMono = false }: any) {
+  return (
+    <div className="flex flex-col gap-0.5">
+      <div className="flex items-center gap-1.5 text-[10px] text-slate-500 font-bold uppercase">
+        {icon}
+        {label}
+      </div>
+      <p className={`text-xs text-slate-300 ${isMono ? 'font-mono truncate' : ''}`}>
+        {value}
+      </p>
+    </div>
+  );
+}

backendia/dashboard/src/components/PhotoOverlay.tsx

@@ -0,0 +1,183 @@
+"use client";
+
+import { useEffect, useRef, useState } from "react";
+
+interface Point {
+  norm_x: number;
+  norm_y: number;
+}
+
+interface Impact {
+  id: number;
+  label: string;
+  score: number;
+  coords: Point;
+}
+
+interface PhotoOverlayProps {
+  imageUrl: string;
+  impacts: Impact[];
+  targetCorners: Point[];
+  isEditing?: boolean;
+  onImpactsChange?: (impacts: Impact[]) => void;
+}
+
+export default function PhotoOverlay({
+  imageUrl,
+  impacts,
+  targetCorners,
+  isEditing = false,
+  onImpactsChange
+}: PhotoOverlayProps) {
+  const containerRef = useRef<HTMLDivElement>(null);
+  const [dimensions, setDimensions] = useState({ width: 0, height: 0 });
+  const [dragIndex, setDragIndex] = useState<number | null>(null);
+
+  useEffect(() => {
+    const updateDimensions = () => {
+      if (containerRef.current) {
+        setDimensions({
+          width: containerRef.current.offsetWidth,
+          height: containerRef.current.offsetHeight,
+        });
+      }
+    };
+
+    updateDimensions();
+    window.addEventListener("resize", updateDimensions);
+    return () => window.removeEventListener("resize", updateDimensions);
+  }, []);
+
+  const handleImageClick = (e: React.MouseEvent) => {
+    if (!isEditing || !onImpactsChange || dragIndex !== null) return;
+
+    const rect = containerRef.current?.getBoundingClientRect();
+    if (!rect) return;
+
+    // Calculer les coordonnées normalisées
+    const x = (e.clientX - rect.left) / dimensions.width;
+    const y = (e.clientY - rect.top) / dimensions.height;
+
+    // Créer un nouvel impact
+    const newImpact: Impact = {
+      id: impacts.length > 0 ? Math.max(...impacts.map(i => i.id)) + 1 : 1,
+      label: "bullet_hole",
+      score: 10,
+      coords: { norm_x: x, norm_y: y }
+    };
+
+    onImpactsChange([...impacts, newImpact]);
+  };
+
+  const handleMouseMove = (e: React.MouseEvent) => {
+    if (dragIndex === null || !onImpactsChange) return;
+
+    const rect = containerRef.current?.getBoundingClientRect();
+    if (!rect) return;
+
+    const x = (e.clientX - rect.left) / dimensions.width;
+    const y = (e.clientY - rect.top) / dimensions.height;
+
+    const newImpacts = [...impacts];
+    newImpacts[dragIndex] = {
+      ...newImpacts[dragIndex],
+      coords: { norm_x: x, norm_y: y }
+    };
+
+    onImpactsChange(newImpacts);
+  };
+
+  const deleteImpact = (e: React.MouseEvent, index: number) => {
+    e.stopPropagation();
+    if (!isEditing || !onImpactsChange) return;
+    const newImpacts = impacts.filter((_, i) => i !== index);
+    onImpactsChange(newImpacts);
+  };
+
+  return (
+    <div
+      ref={containerRef}
+      className={`relative w-full flex items-center justify-center bg-slate-900 rounded-2xl overflow-hidden border border-slate-800 shadow-2xl min-h-[400px] ${isEditing ? 'cursor-crosshair' : ''}`}
+      onClick={handleImageClick}
+      onMouseMove={handleMouseMove}
+      onMouseUp={() => setDragIndex(null)}
+      onMouseLeave={() => setDragIndex(null)}
+    >
+      {/* eslint-disable-next-line @next/next/no-img-element */}
+      <img
+        src={imageUrl}
+        alt="Target Analysis"
+        className="max-w-full max-h-[80vh] object-contain select-none"
+        draggable={false}
+        onLoad={(e) => {
+          const img = e.currentTarget;
+          setDimensions({ width: img.clientWidth, height: img.clientHeight });
+        }}
+      />
+
+      {dimensions.width > 0 && (
+        <svg
+          className="absolute pointer-events-none"
+          viewBox={`0 0 ${dimensions.width} ${dimensions.height}`}
+          style={{ width: dimensions.width, height: dimensions.height }}
+        >
+          {/* Draw Target Box if corners exist */}
+          {targetCorners && targetCorners.length === 4 && (
+            <polygon
+              points={targetCorners.map(c => `${c.norm_x * dimensions.width},${c.norm_y * dimensions.height}`).join(' ')}
+              fill="rgba(79, 70, 229, 0.15)"
+              stroke="#6366f1"
+              strokeWidth="2"
+              strokeDasharray="4 2"
+            />
+          )}
+
+          {/* Draw Impacts */}
+          {impacts.map((impact, index) => (
+            <g key={impact.id}>
+              {/* Glow effect */}
+              <circle
+                cx={impact.coords.norm_x * dimensions.width}
+                cy={impact.coords.norm_y * dimensions.height}
+                r={isEditing ? "12" : "8"}
+                fill={isEditing ? "rgba(244, 63, 94, 0.2)" : "rgba(244, 63, 94, 0.3)"}
+                className={isEditing ? 'pointer-events-auto cursor-move' : ''}
+                onMouseDown={(e) => {
+                  if (!isEditing) return;
+                  e.stopPropagation();
+                  setDragIndex(index);
+                }}
+                onContextMenu={(e) => deleteImpact(e, index)}
+              />
+              {/* Main circle */}
+              <circle
+                cx={impact.coords.norm_x * dimensions.width}
+                cy={impact.coords.norm_y * dimensions.height}
+                r="5"
+                fill="#f43f5e"
+                stroke="white"
+                strokeWidth="1.5"
+              />
+              {/* Score text */}
+              <text
+                x={impact.coords.norm_x * dimensions.width}
+                y={impact.coords.norm_y * dimensions.height - 10}
+                className="text-[12px] font-bold fill-white text-center select-none"
+                textAnchor="middle"
+                style={{ textShadow: '0 0 4px rgba(0,0,0,0.9), 1px 1px 0 rgba(0,0,0,0.9)' }}
+              >
+                {impact.score}
+              </text>
+            </g>
+          ))}
+        </svg>
+      )}
+
+      {isEditing && (
+        <div className="absolute bottom-4 right-4 bg-slate-950/80 backdrop-blur-md px-3 py-1.5 rounded-full text-[10px] font-bold text-indigo-400 border border-indigo-500/30">
+          MODE ÉDITION : CLIC POUR AJOUTER • DRAG POUR DÉPLACER • CLIC DROIT POUR SUPPRIMER
+        </div>
+      )}
+    </div>
+  );
+}

backendia/dashboard/src/lib/api.ts

@@ -0,0 +1,11 @@
+export const API_BASE_URL = 'http://127.0.0.1:3000';
+
+export async function fetchApi(endpoint: string) {
+  const res = await fetch(`${API_BASE_URL}${endpoint}`, {
+    cache: 'no-store',
+  });
+  if (!res.ok) {
+    throw new Error(`Failed to fetch ${endpoint}`);
+  }
+  return res.json();
+}

backendia/dashboard/tsconfig.json

@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "target": "ES2017",
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "react-jsx",
+    "incremental": true,
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  },
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts",
+    "**/*.mts"
+  ],
+  "exclude": ["node_modules"]
+}

backendia/exports/.gitkeep

@@ -0,0 +1 @@
+# Keep directory structure

backendia/package.json

@@ -0,0 +1,22 @@
+{
+  "name": "backendia",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "start": "node server.js",
+    "dashboard": "cd dashboard && npm run dev -- -p 3001",
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "adm-zip": "^0.5.17",
+    "cors": "^2.8.6",
+    "dotenv": "^17.4.2",
+    "express": "^5.2.1",
+    "multer": "^2.1.1",
+    "sqlite3": "^6.0.1"
+  }
+}

backendia/server.js

@@ -0,0 +1,346 @@
+const express = require('express');
+const multer = require('multer');
+const cors = require('cors');
+const path = require('path');
+const fs = require('fs');
+const sqlite3 = require('sqlite3').verbose();
+const AdmZip = require('adm-zip');
+
+
+const app = express();
+const PORT = process.env.PORT || 3000;
+
+// Middleware
+app.use(cors());
+app.use(express.json());
+
+// Arborescence demandée
+const uploadDir = path.join(__dirname, 'uploads');
+const imagesDir = path.join(uploadDir, 'images');
+const dataDir = path.join(uploadDir, 'data');
+const exportsDir = path.join(__dirname, 'exports');
+
+// S'assurer que les dossiers existent
+[uploadDir, imagesDir, dataDir, exportsDir].forEach(dir => {
+    if (!fs.existsSync(dir)) {
+        fs.mkdirSync(dir, { recursive: true });
+    }
+});
+
+// Initialisation de la base de données SQLite
+const dbPath = path.join(dataDir, 'database.sqlite');
+const db = new sqlite3.Database(dbPath, (err) => {
+    if (err) {
+        console.error('Erreur de connexion à SQLite:', err.message);
+    } else {
+        console.log('Connecté à la base de données SQLite.');
+        db.run(`CREATE TABLE IF NOT EXISTS user_stats (
+            wallet_hash TEXT PRIMARY KEY,
+            photo_count INTEGER DEFAULT 0,
+            last_upload DATETIME DEFAULT CURRENT_TIMESTAMP
+        )`);
+    }
+});
+
+// Configuration de multer pour le stockage des fichiers
+const storage = multer.diskStorage({
+    destination: function (req, file, cb) {
+        cb(null, imagesDir); // Les photos vont dans uploads/images/
+    },
+    filename: function (req, file, cb) {
+        // Créer un nom de fichier unique tout en gardant l'extension originale
+        const uniqueSuffix = Date.now() + '-' + Math.round(Math.random() * 1E9);
+        const ext = path.extname(file.originalname);
+        cb(null, file.fieldname + '-' + uniqueSuffix + ext);
+    }
+});
+
+const upload = multer({ 
+    storage: storage,
+    limits: {
+        fileSize: 15 * 1024 * 1024 // Limite de taille: 15 MB
+    },
+    fileFilter: (req, file, cb) => {
+        const ext = path.extname(file.originalname).toLowerCase();
+        const allowedExts = ['.jpg', '.jpeg', '.png', '.gif', '.webp'];
+        
+        // Accepter si c'est un mimetype image OU si l'extension est celle d'une image
+        if (file.mimetype.startsWith('image/') || allowedExts.includes(ext) || file.mimetype === 'application/octet-stream') {
+            cb(null, true);
+        } else {
+            console.error(`Fichier rejeté: mimetype=${file.mimetype}, extension=${ext}`);
+            cb(new Error('Seules les images sont autorisées !'), false);
+        }
+    }
+});
+
+// Routes de base
+app.get('/api/health', (req, res) => {
+    res.json({ status: 'ok', message: 'Le serveur backend IA fonctionne' });
+});
+
+// Route pour l'upload de photo + données JSON
+// Attend un form-data avec un champ nommé 'photo' et un champ texte 'plotting'
+app.post('/api/upload', upload.single('photo'), (req, res) => {
+    try {
+        if (!req.file) {
+            return res.status(400).json({ error: 'Aucune photo fournie' });
+        }
+        
+        let plottingData = {};
+        if (req.body.plotting) {
+            try {
+                plottingData = JSON.parse(req.body.plotting);
+            } catch (e) {
+                console.error("Erreur parsing JSON:", e);
+                return res.status(400).json({ error: 'Le champ plotting doit être un JSON valide' });
+            }
+        }
+
+        // Nom de base sans l'extension
+        const baseFilename = path.parse(req.file.filename).name;
+        const jsonFilename = `${baseFilename}.json`;
+        const jsonFilePath = path.join(dataDir, jsonFilename);
+
+        // Sauvegarde du JSON dans uploads/data/
+        fs.writeFileSync(jsonFilePath, JSON.stringify(plottingData, null, 2));
+
+        // Mise à jour de la BDD si on a un wallet_hash
+        const walletHash = plottingData.wallet_hash;
+        if (walletHash) {
+            db.run(`
+                INSERT INTO user_stats (wallet_hash, photo_count, last_upload) 
+                VALUES (?, 1, CURRENT_TIMESTAMP)
+                ON CONFLICT(wallet_hash) DO UPDATE SET 
+                photo_count = photo_count + 1,
+                last_upload = CURRENT_TIMESTAMP
+            `, [walletHash], function(err) {
+                if (err) {
+                    console.error("Erreur lors de la mise à jour des stats :", err);
+                } else {
+                    console.log(`Stats mises à jour pour le wallet_hash ${walletHash.substring(0, 8)}...`);
+                }
+            });
+        }
+        
+        console.log(`Données reçues et sauvegardées:`);
+        console.log(`- Image: uploads/images/${req.file.filename}`);
+        console.log(`- JSON : uploads/data/${jsonFilename}`);
+        
+        res.status(200).json({
+            message: 'Photo et données uploadées avec succès',
+            file: {
+                filename: req.file.filename,
+                url: `/uploads/images/${req.file.filename}`,
+                size: req.file.size
+            },
+            data: {
+                filename: jsonFilename
+            }
+        });
+    } catch (error) {
+        console.error('Erreur lors de l\'upload:', error);
+        res.status(500).json({ error: 'Erreur interne du serveur lors de l\'upload' });
+    }
+});
+
+// Route pour récupérer toutes les photos disponibles
+app.get('/api/photos', (req, res) => {
+    try {
+        fs.readdir(imagesDir, (err, files) => {
+            if (err) {
+                return res.status(500).json({ error: 'Impossible de lire le dossier des photos' });
+            }
+            
+            const photos = files.map(file => ({
+                filename: file,
+                url: `/uploads/images/${file}`
+            }));
+            
+            res.status(200).json({ photos });
+        });
+    } catch (error) {
+        res.status(500).json({ error: 'Erreur serveur' });
+    }
+});
+
+// Route pour récupérer les statistiques d'un wallet_hash
+app.get('/api/stats/:wallet_hash', (req, res) => {
+    const walletHash = req.params.wallet_hash;
+    
+    db.get('SELECT photo_count, last_upload FROM user_stats WHERE wallet_hash = ?', [walletHash], (err, row) => {
+        if (err) {
+            return res.status(500).json({ error: 'Erreur lors de la lecture des statistiques' });
+        }
+        
+        if (row) {
+            res.json({ status: 'ok', stats: row });
+        } else {
+            res.json({ status: 'ok', stats: { photo_count: 0, last_upload: null } });
+        }
+    });
+});
+
+// Route pour récupérer TOUS les contributeurs
+app.get('/api/contributors', (req, res) => {
+    db.all('SELECT * FROM user_stats ORDER BY photo_count DESC', [], (err, rows) => {
+        if (err) {
+            return res.status(500).json({ error: 'Erreur lors de la lecture des contributeurs' });
+        }
+        res.json({ contributors: rows });
+    });
+});
+
+// Route pour récupérer toutes les données (Photos + JSON)
+app.get('/api/all-data', (req, res) => {
+    try {
+        fs.readdir(imagesDir, (err, files) => {
+            if (err) {
+                return res.status(500).json({ error: 'Impossible de lire le dossier des photos' });
+            }
+            
+            const allData = files.map(file => {
+                const baseName = path.parse(file).name;
+                const jsonPath = path.join(dataDir, `${baseName}.json`);
+                let plotting = null;
+                
+                if (fs.existsSync(jsonPath)) {
+                    try {
+                        plotting = JSON.parse(fs.readFileSync(jsonPath, 'utf8'));
+                    } catch (e) {
+                        console.error(`Erreur lecture JSON pour ${file}`);
+                    }
+                }
+                
+                return {
+                    filename: file,
+                    imageUrl: `/uploads/images/${file}`,
+                    data: plotting
+                };
+            });
+            
+            res.status(200).json({ data: allData });
+        });
+    } catch (error) {
+        res.status(500).json({ error: 'Erreur serveur' });
+    }
+});
+
+// Route pour mettre à jour les données JSON d'une session
+app.put('/api/data/:filename', (req, res) => {
+    const filename = req.params.filename;
+    const baseName = path.parse(filename).name;
+    const jsonPath = path.join(dataDir, `${baseName}.json`);
+
+    try {
+        if (!fs.existsSync(jsonPath)) {
+            return res.status(404).json({ error: 'Fichier JSON non trouvé' });
+        }
+
+        // On écrase le fichier avec les nouvelles données reçues
+        const newData = req.body;
+        fs.writeFileSync(jsonPath, JSON.stringify(newData, null, 2));
+
+        console.log(`Données mises à jour pour : ${baseName}.json`);
+        res.status(200).json({ message: 'Données mises à jour avec succès' });
+    } catch (error) {
+        console.error('Erreur lors de la mise à jour du JSON:', error);
+        res.status(500).json({ error: 'Erreur serveur lors de la mise à jour' });
+    }
+});
+
+// Route pour exporter toutes les données en ZIP
+app.get('/api/export/zip', (req, res) => {
+    try {
+        const zip = new AdmZip();
+        
+        // Ajouter les dossiers au ZIP
+        if (fs.existsSync(imagesDir)) zip.addLocalFolder(imagesDir, 'images');
+        if (fs.existsSync(dataDir)) zip.addLocalFolder(dataDir, 'data');
+        
+        const zipFilename = `dataset_export_${Date.now()}.zip`;
+        const zipPath = path.join(exportsDir, zipFilename);
+        
+        // Sauvegarder sur le disque
+        zip.writeZip(zipPath);
+        
+        // Envoyer le fichier au client
+        res.download(zipPath, zipFilename, (err) => {
+            if (err) console.error("Erreur lors de l'envoi du ZIP:", err);
+            // Optionnel: supprimer le ZIP local après envoi si vous voulez gagner de la place
+            // fs.unlinkSync(zipPath);
+        });
+    } catch (error) {
+        console.error('Erreur lors de la création du ZIP:', error);
+        res.status(500).json({ error: 'Erreur lors de la création de l\'archive' });
+    }
+});
+
+// Route pour archiver et vider les dossiers uploads
+app.post('/api/export/archive', (req, res) => {
+    try {
+        const archiveName = `archive_${new Date().toISOString().replace(/[:.]/g, '-')}`;
+        const archivePath = path.join(exportsDir, archiveName);
+        
+        if (!fs.existsSync(archivePath)) {
+            fs.mkdirSync(archivePath, { recursive: true });
+        }
+
+        // Fonction pour déplacer les fichiers
+        const moveFiles = (source, destSubDir) => {
+            const dest = path.join(archivePath, destSubDir);
+            if (!fs.existsSync(dest)) fs.mkdirSync(dest, { recursive: true });
+            
+            const files = fs.readdirSync(source);
+            files.forEach(file => {
+                // Ne pas déplacer la base de données sqlite
+                if (file === 'database.sqlite') return;
+                
+                const oldPath = path.join(source, file);
+                const newPath = path.join(dest, file);
+                
+                try {
+                    fs.renameSync(oldPath, newPath);
+                } catch (e) {
+                    // Fallback si renameSync échoue (ex: disque différent)
+                    fs.copyFileSync(oldPath, newPath);
+                    fs.unlinkSync(oldPath);
+                }
+            });
+        };
+
+        moveFiles(imagesDir, 'images');
+        moveFiles(dataDir, 'data');
+
+        res.json({ message: 'Données archivées avec succès', archive: archiveName });
+    } catch (error) {
+        console.error('Erreur lors de l\'archivage:', error);
+        res.status(500).json({ error: 'Erreur lors de l\'archivage des données' });
+    }
+});
+
+// Servir les fichiers statiques (pour pouvoir accéder aux photos via URL)
+app.use('/uploads/images', express.static(imagesDir));
+
+// Gestion des erreurs
+app.use((err, req, res, next) => {
+    if (err instanceof multer.MulterError) {
+        if (err.code === 'LIMIT_FILE_SIZE') {
+            return res.status(400).json({ error: 'Le fichier est trop volumineux (limite 15MB)' });
+        }
+    }
+    console.error(err.stack);
+    res.status(500).json({ error: err.message || 'Une erreur inattendue est survenue' });
+});
+
+// Démarrer le serveur
+app.listen(PORT, () => {
+    console.log(`=================================`);
+    console.log(`Serveur Backend IA démarré`);
+    console.log(`Port: ${PORT}`);
+    console.log(`Dossiers:`);
+    console.log(` - Images: ${imagesDir}`);
+    console.log(` - Data  : ${dataDir}`);
+    console.log(` - Export: ${exportsDir}`);
+    console.log(`=================================`);
+});

build_log.txt

@@ -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

devtools_options.yaml

@@ -0,0 +1,3 @@
+description: This file stores settings for Dart & Flutter DevTools.
+documentation: https://docs.flutter.dev/tools/devtools/extensions#configure-extension-enablement-states
+extensions:

docs/README.md

@@ -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.

docs/data/README.md

@@ -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.

docs/features/README.md

@@ -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.

docs/services/README.md

@@ -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);
+```

ios/Runner/Info.plist

@@ -2,6 +2,8 @@
 <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
 <plist version="1.0">
 <dict>
+	<key>NSCameraUsageDescription</key>
+	<string>This app needs camera access to scan documents</string>
 	<key>CADisableMinimumFrameDurationOnPhone</key>
 	<true/>
 	<key>CFBundleDevelopmentRegion</key>

lib/features/analysis/analysis_provider.dart

@@ -17,6 +17,8 @@ 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';
+import '../../services/ai_export_service.dart';
 
 enum AnalysisState { initial, loading, success, error }
 
@@ -26,6 +28,7 @@ class AnalysisProvider extends ChangeNotifier {
   final GroupingAnalyzerService _groupingAnalyzerService;
   final SessionRepository _sessionRepository;
   final DistortionCorrectionService _distortionService;
+  final OpenCVTargetService _opencvTargetService;
   final Uuid _uuid = const Uuid();
 
   AnalysisProvider({
@@ -34,11 +37,13 @@ class AnalysisProvider extends ChangeNotifier {
     required GroupingAnalyzerService groupingAnalyzerService,
     required SessionRepository sessionRepository,
     DistortionCorrectionService? distortionService,
-  })  : _detectionService = detectionService,
+    OpenCVTargetService? opencvTargetService,
-        _scoreCalculatorService = scoreCalculatorService,
+  }) : _detectionService = detectionService,
-        _groupingAnalyzerService = groupingAnalyzerService,
+       _scoreCalculatorService = scoreCalculatorService,
-        _sessionRepository = sessionRepository,
+       _groupingAnalyzerService = groupingAnalyzerService,
-        _distortionService = distortionService ?? DistortionCorrectionService();
+       _sessionRepository = sessionRepository,
+       _distortionService = distortionService ?? DistortionCorrectionService(),
+       _opencvTargetService = opencvTargetService ?? OpenCVTargetService();
 
   AnalysisState _state = AnalysisState.initial;
   String? _errorMessage;
@@ -49,6 +54,7 @@ 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
@@ -79,8 +85,10 @@ 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;
+  List<double>? get ringRadii =>
+      _ringRadii != null ? List.unmodifiable(_ringRadii!) : null;
   double get imageAspectRatio => _imageAspectRatio;
   List<Shot> get shots => List.unmodifiable(_shots);
   ScoreResult? get scoreResult => _scoreResult;
@@ -97,13 +105,22 @@ class AnalysisProvider extends ChangeNotifier {
   DistortionParameters? get distortionParams => _distortionParams;
   String? get correctedImagePath => _correctedImagePath;
   bool get hasDistortion => _distortionParams?.needsCorrection ?? false;
+
   /// Retourne le chemin de l'image à afficher (corrigée si activée, originale sinon)
-  String? get displayImagePath => _distortionCorrectionEnabled && _correctedImagePath != null
+  String? get displayImagePath =>
+      _distortionCorrectionEnabled && _correctedImagePath != null
       ? _correctedImagePath
       : _imagePath;
 
   /// Analyze an image
-  Future<void> analyzeImage(String imagePath, TargetType targetType) async {
+  ///
+  /// [autoAnalyze] determines if we should run automatic detection immediately.
+  /// If false, only the image is loaded and default target parameters are set.
+  Future<void> analyzeImage(
+    String imagePath,
+    TargetType targetType, {
+    bool autoAnalyze = true,
+  }) async {
     _state = AnalysisState.loading;
     _imagePath = imagePath;
     _targetType = targetType;
@@ -119,6 +136,21 @@ class AnalysisProvider extends ChangeNotifier {
       _imageAspectRatio = frame.image.width / frame.image.height;
       frame.image.dispose();
 
+      if (!autoAnalyze) {
+        // Just setup default values without running detection
+        _targetCenterX = 0.5;
+        _targetCenterY = 0.5;
+        _targetRadius = 0.4;
+        _targetInnerRadius = 0.04;
+
+        // Initialize empty shots list
+        _shots = [];
+
+        _state = AnalysisState.success;
+        notifyListeners();
+        return;
+      }
+
       // Detect target and impacts
       final result = _detectionService.detectTarget(imagePath, targetType);
 
@@ -132,6 +164,7 @@ 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) {
@@ -162,13 +195,7 @@ class AnalysisProvider extends ChangeNotifier {
   /// Add a manual shot
   void addShot(double x, double y) {
     final score = _calculateShotScore(x, y);
-    final shot = Shot(
+    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, sessionId: '');
-      id: _uuid.v4(),
-      x: x,
-      y: y,
-      score: score,
-      sessionId: '',
-    );
 
     _shots.add(shot);
     _recalculateScores();
@@ -190,17 +217,23 @@ class AnalysisProvider extends ChangeNotifier {
     if (index == -1) return;
 
     final newScore = _calculateShotScore(newX, newY);
-    _shots[index] = _shots[index].copyWith(
+    _shots[index] = _shots[index].copyWith(x: newX, y: newY, score: newScore);
-      x: newX,
-      y: newY,
-      score: newScore,
-    );
 
     _recalculateScores();
     _recalculateGrouping();
     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,
@@ -271,6 +304,8 @@ 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,
@@ -334,7 +369,9 @@ class AnalysisProvider extends ChangeNotifier {
     double tolerance = 2.0,
     bool clearExisting = false,
   }) async {
-    if (_imagePath == null || _targetType == null || _referenceImpacts.length < 2) {
+    if (_imagePath == null ||
+        _targetType == null ||
+        _referenceImpacts.length < 2) {
       return 0;
     }
 
@@ -343,16 +380,17 @@ class AnalysisProvider extends ChangeNotifier {
         .map((shot) => ReferenceImpact(x: shot.x, y: shot.y))
         .toList();
 
-    final detectedImpacts = _detectionService.detectImpactsWithOpenCVFromReferences(
+    final detectedImpacts = _detectionService
-      _imagePath!,
+        .detectImpactsWithOpenCVFromReferences(
-      _targetType!,
+          _imagePath!,
-      _targetCenterX,
+          _targetType!,
-      _targetCenterY,
+          _targetCenterX,
-      _targetRadius,
+          _targetCenterY,
-      _ringCount,
+          _targetRadius,
-      references,
+          _ringCount,
-      tolerance: tolerance,
+          references,
-    );
+          tolerance: tolerance,
+        );
 
     if (clearExisting) {
       _shots.clear();
@@ -381,13 +419,7 @@ class AnalysisProvider extends ChangeNotifier {
   /// Add a reference impact for calibrated detection
   void addReferenceImpact(double x, double y) {
     final score = _calculateShotScore(x, y);
-    final shot = Shot(
+    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, sessionId: '');
-      id: _uuid.v4(),
-      x: x,
-      y: y,
-      score: score,
-      sessionId: '',
-    );
     _referenceImpacts.add(shot);
     notifyListeners();
   }
@@ -428,7 +460,9 @@ class AnalysisProvider extends ChangeNotifier {
     double tolerance = 2.0,
     bool clearExisting = false,
   }) async {
-    if (_imagePath == null || _targetType == null || _learnedCharacteristics == null) {
+    if (_imagePath == null ||
+        _targetType == null ||
+        _learnedCharacteristics == null) {
       return 0;
     }
 
@@ -468,9 +502,17 @@ class AnalysisProvider extends ChangeNotifier {
   }
 
   /// Adjust target position
-  void adjustTargetPosition(double centerX, double centerY, double radius, {int? ringCount, List<double>? ringRadii}) {
+  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;
@@ -489,6 +531,43 @@ 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(
@@ -529,8 +608,7 @@ class AnalysisProvider extends ChangeNotifier {
     }
   }
 
-
+  /* version deux a tester*/
-/* version deux a tester*/
   /// Calcule ET applique la correction pour un feedback immédiat
   Future<void> calculateAndApplyDistortion() async {
     // 1. Calcul des paramètres (votre code actuel)
@@ -566,7 +644,7 @@ class AnalysisProvider extends ChangeNotifier {
       notifyListeners();
     }
   }
-/* fin section deux a tester*/
+  /* fin section deux a tester*/
 
   int _calculateShotScore(double x, double y) {
     if (_targetType == TargetType.concentric) {
@@ -611,6 +689,42 @@ class AnalysisProvider extends ChangeNotifier {
     _groupingResult = _groupingAnalyzerService.analyzeGrouping(_shots);
   }
 
+  /// Exporte l'image et le json vers le backend IA
+  Future<bool> exportToAiBackend() async {
+    if (_imagePath == null || _targetType == null) {
+      _errorMessage = "Impossible d'exporter : image ou type de cible manquant.";
+      notifyListeners();
+      return false;
+    }
+
+    // Identifiant de session temporaire si non sauvegardée
+    final sessionId = _shots.isNotEmpty && _shots.first.sessionId.isNotEmpty
+        ? _shots.first.sessionId
+        : 'session_${DateTime.now().millisecondsSinceEpoch}';
+
+    final service = AiExportService(); // Local instanciation for simplicity
+    
+    _state = AnalysisState.loading;
+    notifyListeners();
+
+    final success = await service.exportData(
+      imagePath: _imagePath!,
+      sessionId: sessionId,
+      targetType: _targetType!,
+      targetCenterX: _targetCenterX,
+      targetCenterY: _targetCenterY,
+      targetRadius: _targetRadius,
+      shots: _shots,
+    );
+
+    _state = AnalysisState.success;
+    if (!success) {
+      _errorMessage = "Échec de l'export vers le serveur IA.";
+    }
+    notifyListeners();
+    return success;
+  }
+
   /// Save the session
   Future<Session> saveSession({String? notes}) async {
     if (_imagePath == null || _targetType == null) {
@@ -647,6 +761,7 @@ class AnalysisProvider extends ChangeNotifier {
     _targetCenterX = 0.5;
     _targetCenterY = 0.5;
     _targetRadius = 0.4;
+    _targetInnerRadius = 0.04;
     _ringCount = 10;
     _ringRadii = null;
     _imageAspectRatio = 1.0;

lib/features/analysis/widgets/target_calibration.dart

@@ -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
+      // Initialize with default proportional radii interpolated between inner and outer
-      _ringRadii = List.generate(_ringCount, (i) => (i + 1) / _ringCount);
+      _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(
+    final textPainter = TextPainter(textDirection: TextDirection.ltr);
-      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 [
+          shadows: const [Shadow(color: Colors.black, blurRadius: 2)],
-            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(
-    canvas.drawLine(Offset(center.dx + 8, center.dy), Offset(center.dx + 20, center.dy), crossPaint);
+      Offset(center.dx - 20, center.dy),
-    canvas.drawLine(Offset(center.dx, center.dy - 20), Offset(center.dx, center.dy - 8), crossPaint);
+      Offset(center.dx - 8, center.dy),
-    canvas.drawLine(Offset(center.dx, center.dy + 8), Offset(center.dx, center.dy + 20), crossPaint);
+      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 actualHandleX = center.dx + baseRadius;
-    final actualRadius = baseRadius * outerRingRadius;
-    final actualHandleX = center.dx + actualRadius;
     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;
   }
 }

lib/features/analysis/widgets/target_overlay.dart

@@ -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
-    _drawTargetCenter(canvas, size);
+    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;
   }
 }

lib/features/capture/capture_screen.dart

@@ -6,13 +6,13 @@
 library;
 
 import 'dart:io';
+import 'package:google_mlkit_document_scanner/google_mlkit_document_scanner.dart';
 import 'package:flutter/material.dart';
 import 'package:image_picker/image_picker.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 {
@@ -31,24 +31,12 @@ class _CaptureScreenState extends State<CaptureScreen> {
   @override
   Widget build(BuildContext context) {
     return Scaffold(
-      appBar: AppBar(
+      appBar: AppBar(title: const Text('Nouvelle Analyse')),
-        title: const Text('Nouvelle Analyse'),
-      ),
       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
@@ -59,8 +47,8 @@ class _CaptureScreenState extends State<CaptureScreen> {
                 Expanded(
                   child: ImageSourceButton(
                     icon: Icons.camera_alt,
-                    label: 'Camera',
+                    label: 'Scanner',
-                    onPressed: _isLoading ? null : () => _captureImage(ImageSource.camera),
+                    onPressed: _isLoading ? null : _scanDocument,
                   ),
                 ),
                 const SizedBox(width: 12),
@@ -68,7 +56,9 @@ class _CaptureScreenState extends State<CaptureScreen> {
                   child: ImageSourceButton(
                     icon: Icons.photo_library,
                     label: 'Galerie',
-                    onPressed: _isLoading ? null : () => _captureImage(ImageSource.gallery),
+                    onPressed: _isLoading
+                        ? null
+                        : () => _captureImage(ImageSource.gallery),
                   ),
                 ),
               ],
@@ -87,16 +77,15 @@ class _CaptureScreenState extends State<CaptureScreen> {
               _buildImagePreview(),
 
             // Guide text
-            if (_selectedImagePath == null && !_isLoading)
+            if (_selectedImagePath == null && !_isLoading) _buildGuide(),
-              _buildGuide(),
           ],
         ),
       ),
       floatingActionButton: _selectedImagePath != null
           ? FloatingActionButton.extended(
               onPressed: _analyzeImage,
-              icon: const Icon(Icons.analytics),
+              icon: const Icon(Icons.arrow_forward),
-              label: const Text('Analyser'),
+              label: const Text('Suivant'),
             )
           : null,
     );
@@ -105,9 +94,9 @@ class _CaptureScreenState extends State<CaptureScreen> {
   Widget _buildSectionTitle(String title) {
     return Text(
       title,
-      style: Theme.of(context).textTheme.titleMedium?.copyWith(
+      style: Theme.of(
-        fontWeight: FontWeight.bold,
+        context,
-      ),
+      ).textTheme.titleMedium?.copyWith(fontWeight: FontWeight.bold),
     );
   }
 
@@ -160,7 +149,9 @@ class _CaptureScreenState extends State<CaptureScreen> {
             Expanded(
               child: Text(
                 'Assurez-vous que la cible est bien centree et visible.',
-                style: TextStyle(color: AppTheme.warningColor.withValues(alpha: 0.8)),
+                style: TextStyle(
+                  color: AppTheme.warningColor.withValues(alpha: 0.8),
+                ),
               ),
             ),
           ],
@@ -175,20 +166,19 @@ class _CaptureScreenState extends State<CaptureScreen> {
         padding: const EdgeInsets.all(AppConstants.defaultPadding),
         child: Column(
           children: [
-            Icon(
+            Icon(Icons.help_outline, size: 48, color: Colors.grey[400]),
-              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(
+              style: Theme.of(
-                fontWeight: FontWeight.bold,
+                context,
-              ),
+              ).textTheme.titleSmall?.copyWith(fontWeight: FontWeight.bold),
             ),
             const SizedBox(height: 12),
-            _buildGuideItem(Icons.crop_free, 'Cadrez la cible entiere dans l\'image'),
+            _buildGuideItem(
+              Icons.crop_free,
+              'Cadrez la cible entiere dans l\'image',
+            ),
             _buildGuideItem(Icons.wb_sunny, 'Utilisez un bon eclairage'),
             _buildGuideItem(Icons.straighten, 'Prenez la photo de face'),
             _buildGuideItem(Icons.blur_off, 'Evitez les images floues'),
@@ -211,6 +201,39 @@ 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) {
+      if (mounted) {
+        ScaffoldMessenger.of(context).showSnackBar(
+          SnackBar(
+            content: Text('Erreur lors du scan: $e'),
+            backgroundColor: AppTheme.errorColor,
+          ),
+        );
+      }
+    } finally {
+      if (mounted) {
+        setState(() => _isLoading = false);
+      }
+    }
+  }
+
   Future<void> _captureImage(ImageSource source) async {
     setState(() => _isLoading = true);
 

lib/features/crop/crop_screen.dart

@@ -119,7 +119,8 @@ class _CropScreenState extends State<CropScreen> {
         _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;
+        _cropSize =
+            math.min(constraints.maxWidth, constraints.maxHeight) * 0.85;
 
         // Calculer l'échelle initiale si pas encore fait
         if (_scale == 1.0 && _offset == Offset.zero) {
@@ -138,7 +139,7 @@ class _CropScreenState extends State<CropScreen> {
                   child: Transform(
                     transform: Matrix4.identity()
                       ..setTranslationRaw(_offset.dx, _offset.dy, 0)
-                      ..scale(_scale, _scale, 1.0),
+                      ..scale(_scale, _scale),
                     alignment: Alignment.center,
                     child: Image.file(
                       File(widget.imagePath),
@@ -153,10 +154,7 @@ class _CropScreenState extends State<CropScreen> {
               // Overlay de recadrage
               Positioned.fill(
                 child: IgnorePointer(
-                  child: CropOverlay(
+                  child: CropOverlay(cropSize: _cropSize, showGrid: true),
-                    cropSize: _cropSize,
-                    showGrid: true,
-                  ),
                 ),
               ),
 

lib/features/crop/widgets/crop_overlay.dart

@@ -13,20 +13,13 @@ class CropOverlay extends StatelessWidget {
   /// Afficher la grille des tiers
   final bool showGrid;
 
-  const CropOverlay({
+  const CropOverlay({super.key, required this.cropSize, this.showGrid = true});
-    super.key,
-    required this.cropSize,
-    this.showGrid = true,
-  });
 
   @override
   Widget build(BuildContext context) {
     return CustomPaint(
       size: Size.infinite,
-      painter: _CropOverlayPainter(
+      painter: _CropOverlayPainter(cropSize: cropSize, showGrid: showGrid),
-        cropSize: cropSize,
-        showGrid: showGrid,
-      ),
     );
   }
 }
@@ -35,10 +28,7 @@ class _CropOverlayPainter extends CustomPainter {
   final double cropSize;
   final bool showGrid;
 
-  _CropOverlayPainter({
+  _CropOverlayPainter({required this.cropSize, required this.showGrid});
-    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;

lib/features/home/home_screen.dart

@@ -12,6 +12,7 @@ import '../../data/repositories/session_repository.dart';
 import '../capture/capture_screen.dart';
 import '../history/history_screen.dart';
 import '../statistics/statistics_screen.dart';
+import '../settings/settings_screen.dart';
 import 'widgets/stats_card.dart';
 
 class HomeScreen extends StatefulWidget {
@@ -58,6 +59,11 @@ class _HomeScreenState extends State<HomeScreen> {
             onPressed: () => _navigateToHistory(context),
             tooltip: 'Historique',
           ),
+          IconButton(
+            icon: const Icon(Icons.settings),
+            onPressed: () => _navigateToSettings(context),
+            tooltip: 'Paramètres',
+          ),
         ],
       ),
       body: RefreshIndicator(
@@ -148,21 +154,27 @@ class _HomeScreenState extends State<HomeScreen> {
         Text(
           'Statistiques',
           style: Theme.of(context).textTheme.titleLarge?.copyWith(
-            fontWeight: FontWeight.bold,
+                fontWeight: FontWeight.bold,
-          ),
+              ),
         ),
         const SizedBox(height: 12),
         Row(
           children: [
+            // --- BOUTON SESSIONS (Redirige vers Statistiques) ---
             Expanded(
-              child: StatsCard(
+              child: InkWell(
-                icon: Icons.assessment,
+                onTap: () => _navigateToStatistics(context),
-                title: 'Sessions',
+                borderRadius: BorderRadius.circular(AppConstants.borderRadius),
-                value: '${_stats!['totalSessions']}',
+                child: StatsCard(
-                color: AppTheme.primaryColor,
+                  icon: Icons.assessment,
+                  title: 'Sessions',
+                  value: '${_stats!['totalSessions']}',
+                  color: AppTheme.primaryColor,
+                ),
               ),
             ),
             const SizedBox(width: 12),
+            // Ce bouton reste statique (ou tu peux ajouter une action)
             Expanded(
               child: StatsCard(
                 icon: Icons.gps_fixed,
@@ -176,15 +188,21 @@ class _HomeScreenState extends State<HomeScreen> {
         const SizedBox(height: 12),
         Row(
           children: [
+            // --- BOUTON SCORE MOYEN (Redirige vers Historique) ---
             Expanded(
-              child: StatsCard(
+              child: InkWell(
-                icon: Icons.trending_up,
+                onTap: () => _navigateToHistory(context),
-                title: 'Score Moyen',
+                borderRadius: BorderRadius.circular(AppConstants.borderRadius),
-                value: (_stats!['averageScore'] as double).toStringAsFixed(1),
+                child: StatsCard(
-                color: AppTheme.warningColor,
+                  icon: Icons.trending_up,
+                  title: 'Historique',
+                  value: (_stats!['averageScore'] as double).toStringAsFixed(1),
+                  color: AppTheme.warningColor,
+                ),
               ),
             ),
             const SizedBox(width: 12),
+            // Ce bouton reste statique
             Expanded(
               child: StatsCard(
                 icon: Icons.emoji_events,
@@ -225,4 +243,11 @@ class _HomeScreenState extends State<HomeScreen> {
     // Refresh stats when returning
     _loadStats();
   }
+
+  void _navigateToSettings(BuildContext context) {
+    Navigator.push(
+      context,
+      MaterialPageRoute(builder: (_) => const SettingsScreen()),
+    );
+  }
 }

lib/features/settings/settings_screen.dart

@@ -0,0 +1,339 @@
+import 'package:flutter/material.dart';
+import 'package:flutter/services.dart';
+import 'dart:convert';
+import 'package:crypto/crypto.dart';
+import 'package:http/http.dart' as http;
+import '../../core/constants/app_constants.dart';
+import '../../core/theme/app_theme.dart';
+import '../../services/wallet_identity_service.dart';
+
+class SettingsScreen extends StatefulWidget {
+  const SettingsScreen({super.key});
+
+  @override
+  State<SettingsScreen> createState() => _SettingsScreenState();
+}
+
+class _SettingsScreenState extends State<SettingsScreen> {
+  final WalletIdentityService _walletService = WalletIdentityService();
+  String? _identityPhrase;
+  int? _photoCount;
+  bool _isLoadingStats = false;
+  bool _isUploadEnabled = false;
+
+  @override
+  void initState() {
+    super.initState();
+    _loadIdentity();
+  }
+
+  Future<void> _loadIdentity() async {
+    final phrase = await _walletService.getIdentityPhrase();
+    final isEnabled = await _walletService.isUploadEnabled();
+    if (mounted) {
+      setState(() {
+        _identityPhrase = phrase;
+        _isUploadEnabled = isEnabled;
+      });
+      _fetchStats(phrase);
+    }
+  }
+
+  Future<void> _fetchStats(String phrase) async {
+    setState(() => _isLoadingStats = true);
+    try {
+      final phraseBytes = utf8.encode(phrase);
+      final walletHash = sha256.convert(phraseBytes).toString();
+      
+      // Utilise 10.0.2.2 pour l'émulateur Android, sinon localhost
+      final baseUrl = Theme.of(context).platform == TargetPlatform.android 
+          ? 'http://10.0.2.2:3000' 
+          : 'http://localhost:3000';
+          
+      final response = await http.get(Uri.parse('$baseUrl/api/stats/$walletHash'));
+      
+      if (response.statusCode == 200) {
+        final data = jsonDecode(response.body);
+        if (mounted) {
+          setState(() {
+            _photoCount = data['stats']['photo_count'] ?? 0;
+            _isLoadingStats = false;
+          });
+        }
+      } else {
+        if (mounted) setState(() => _isLoadingStats = false);
+      }
+    } catch (e) {
+      print('Erreur lors du chargement des statistiques: $e');
+      if (mounted) setState(() => _isLoadingStats = false);
+    }
+  }
+
+  void _copyToClipboard() {
+    if (_identityPhrase != null) {
+      Clipboard.setData(ClipboardData(text: _identityPhrase!));
+      ScaffoldMessenger.of(context).showSnackBar(
+        const SnackBar(
+          content: Text('Identité copiée dans le presse-papiers'),
+          backgroundColor: AppTheme.successColor,
+        ),
+      );
+    }
+  }
+
+  void _showIdentityDialog() {
+    if (_identityPhrase == null) return;
+    
+    showDialog(
+      context: context,
+      builder: (context) => AlertDialog(
+        title: const Text('Votre Identité Unique', textAlign: TextAlign.center),
+        content: Column(
+          mainAxisSize: MainAxisSize.min,
+          children: [
+            const Icon(Icons.security, size: 48, color: AppTheme.primaryColor),
+            const SizedBox(height: 16),
+            const Text(
+              'Cette phrase de 15 mots vous identifie de manière unique. Ne la partagez qu\'en cas de besoin.',
+              textAlign: TextAlign.center,
+              style: TextStyle(fontSize: 14, color: Colors.grey),
+            ),
+            const SizedBox(height: 24),
+            Container(
+              padding: const EdgeInsets.all(16),
+              decoration: BoxDecoration(
+                color: Colors.grey.withAlpha(20),
+                borderRadius: BorderRadius.circular(8),
+                border: Border.all(color: AppTheme.primaryColor.withAlpha(100)),
+              ),
+              child: Text(
+                _identityPhrase!,
+                style: const TextStyle(
+                  fontSize: 16,
+                  fontWeight: FontWeight.w600,
+                  letterSpacing: 0.5,
+                  height: 1.5,
+                ),
+                textAlign: TextAlign.center,
+              ),
+            ),
+          ],
+        ),
+        actions: [
+          TextButton(
+            onPressed: () => Navigator.pop(context),
+            child: const Text('Fermer'),
+          ),
+          ElevatedButton.icon(
+            icon: const Icon(Icons.copy, size: 18),
+            label: const Text('Copier'),
+            onPressed: () {
+              _copyToClipboard();
+              Navigator.pop(context);
+            },
+          ),
+        ],
+      ),
+    );
+  }
+
+  void _showOptInDisclaimer(bool value) {
+    if (!value) {
+      // Si on désactive, pas besoin de disclaimer, on le fait direct.
+      _walletService.setUploadEnabled(false);
+      setState(() {
+        _isUploadEnabled = false;
+      });
+      return;
+    }
+
+    showDialog(
+      context: context,
+      barrierDismissible: false,
+      builder: (context) => AlertDialog(
+        title: const Text('Participer à l\'entraînement IA', textAlign: TextAlign.center),
+        content: const Column(
+          mainAxisSize: MainAxisSize.min,
+          children: [
+            Icon(Icons.psychology, size: 48, color: AppTheme.primaryColor),
+            SizedBox(height: 16),
+            Text(
+              'En activant cette option, vous acceptez d\'envoyer vos photos de cibles à notre serveur sécurisé.',
+              style: TextStyle(fontWeight: FontWeight.bold),
+              textAlign: TextAlign.center,
+            ),
+            SizedBox(height: 12),
+            Text(
+              '🔒 Anonymat Garanti : L\'envoi est totalement anonymisé. Votre identité est remplacée par un hash cryptographique incassable.',
+              style: TextStyle(fontSize: 13),
+            ),
+            SizedBox(height: 12),
+            Text(
+              '🎁 Avantages Futurs : Votre contribution (Hash de Wallet) sera comptabilisée. Lors de la sortie publique de notre IA, les participants actifs recevront des fonctionnalités premium ou des badges exclusifs en récompense !',
+              style: TextStyle(fontSize: 13),
+            ),
+          ],
+        ),
+        actions: [
+          TextButton(
+            onPressed: () => Navigator.pop(context),
+            child: const Text('Refuser', style: TextStyle(color: Colors.grey)),
+          ),
+          ElevatedButton(
+            style: ElevatedButton.styleFrom(backgroundColor: AppTheme.primaryColor),
+            onPressed: () {
+              _walletService.setUploadEnabled(true);
+              setState(() {
+                _isUploadEnabled = true;
+              });
+              Navigator.pop(context);
+              ScaffoldMessenger.of(context).showSnackBar(
+                const SnackBar(
+                  content: Text('Merci pour votre contribution !'),
+                  backgroundColor: AppTheme.successColor,
+                ),
+              );
+            },
+            child: const Text('J\'accepte', style: TextStyle(color: Colors.white)),
+          ),
+        ],
+      ),
+    );
+  }
+
+  @override
+  Widget build(BuildContext context) {
+    return Scaffold(
+      appBar: AppBar(
+        title: const Text('Paramètres'),
+      ),
+      body: ListView(
+        padding: const EdgeInsets.all(AppConstants.defaultPadding),
+        children: [
+          _buildSectionHeader('Identité'),
+          _buildSettingsTile(
+            context: context,
+            icon: Icons.fingerprint,
+            title: 'Identité Wallet',
+            subtitle: _identityPhrase != null ? 'Phrase de 15 mots générée' : 'Génération en cours...',
+            onTap: _showIdentityDialog,
+          ),
+          _buildSettingsTile(
+            context: context,
+            icon: Icons.color_lens_outlined,
+            title: 'Apparence',
+            subtitle: 'Thème clair/sombre (à venir)',
+            onTap: () {
+              ScaffoldMessenger.of(context).showSnackBar(
+                const SnackBar(content: Text('Fonctionnalité en développement')),
+              );
+            },
+          ),
+          
+          const SizedBox(height: 24),
+          _buildSectionHeader('Configuration Serveur IA'),
+          Card(
+            elevation: 0,
+            color: Colors.transparent,
+            margin: const EdgeInsets.only(bottom: 8.0),
+            child: SwitchListTile(
+              contentPadding: const EdgeInsets.symmetric(horizontal: 16.0, vertical: 4.0),
+              title: const Text('Participer à l\'entraînement IA', style: TextStyle(fontWeight: FontWeight.w500)),
+              subtitle: const Text('Aidez-nous à améliorer la détection tout en gagnant des avantages', style: TextStyle(fontSize: 12)),
+              secondary: const Icon(Icons.psychology, color: AppTheme.textPrimary),
+              value: _isUploadEnabled,
+              activeColor: AppTheme.primaryColor,
+              shape: RoundedRectangleBorder(
+                borderRadius: BorderRadius.circular(12.0),
+                side: BorderSide(color: Colors.grey.withAlpha(50), width: 1),
+              ),
+              onChanged: _showOptInDisclaimer,
+            ),
+          ),
+          if (_isUploadEnabled)
+            _buildSettingsTile(
+              context: context,
+              icon: Icons.cloud_outlined,
+              title: 'Adresse du Serveur IA',
+              subtitle: 'http://localhost:3000/api/upload',
+              onTap: () {
+                ScaffoldMessenger.of(context).showSnackBar(
+                  const SnackBar(content: Text('Changement d\'adresse à venir')),
+                );
+              },
+            ),
+          if (_isUploadEnabled)
+            _buildSettingsTile(
+            context: context,
+            icon: Icons.data_usage,
+            title: 'Photos Exportées',
+            subtitle: _isLoadingStats 
+                ? 'Chargement...' 
+                : (_photoCount != null ? '$_photoCount photos envoyées à l\'IA' : 'Non disponible'),
+            onTap: () {
+              if (_identityPhrase != null) {
+                _fetchStats(_identityPhrase!);
+              }
+            },
+          ),
+
+          const SizedBox(height: 24),
+          _buildSectionHeader('À propos'),
+          _buildSettingsTile(
+            context: context,
+            icon: Icons.info_outline,
+            title: 'Version de l\'application',
+            subtitle: '1.0.0',
+            onTap: () {},
+          ),
+          _buildSettingsTile(
+            context: context,
+            icon: Icons.privacy_tip_outlined,
+            title: 'Politique de confidentialité',
+            onTap: () {},
+          ),
+        ],
+      ),
+    );
+  }
+
+  Widget _buildSectionHeader(String title) {
+    return Padding(
+      padding: const EdgeInsets.symmetric(vertical: 8.0, horizontal: 4.0),
+      child: Text(
+        title,
+        style: const TextStyle(
+          fontSize: 14,
+          fontWeight: FontWeight.bold,
+          color: AppTheme.primaryColor,
+        ),
+      ),
+    );
+  }
+
+  Widget _buildSettingsTile({
+    required BuildContext context,
+    required IconData icon,
+    required String title,
+    String? subtitle,
+    required VoidCallback onTap,
+  }) {
+    return Card(
+      elevation: 0,
+      color: Colors.transparent,
+      margin: const EdgeInsets.only(bottom: 8.0),
+      child: ListTile(
+        contentPadding: const EdgeInsets.symmetric(horizontal: 16.0, vertical: 4.0),
+        leading: Icon(icon, color: AppTheme.textPrimary),
+        title: Text(title, style: const TextStyle(fontWeight: FontWeight.w500)),
+        subtitle: subtitle != null ? Text(subtitle, style: const TextStyle(fontSize: 12)) : null,
+        trailing: const Icon(Icons.chevron_right, color: Colors.grey),
+        shape: RoundedRectangleBorder(
+          borderRadius: BorderRadius.circular(12.0),
+          side: BorderSide(color: Colors.grey.withAlpha(50), width: 1),
+        ),
+        onTap: onTap,
+      ),
+    );
+  }
+}

lib/features/statistics/statistics_screen.dart

@@ -5,7 +5,6 @@
 /// écart-type et distribution régionale des tirs.
 library;
 
-import 'package:flutter/foundation.dart';
 import 'package:flutter/material.dart';
 import 'package:provider/provider.dart';
 import '../../core/constants/app_constants.dart';
@@ -69,28 +68,38 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
   }
 
   void _calculateStats() {
-    debugPrint('Calculating stats for ${_allSessions.length} sessions, period: $_selectedPeriod');
+    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}');
+      debugPrint(
+        '  Session: ${session.id}, shots: ${session.shots.length}, date: ${session.createdAt}',
+      );
     }
     _statistics = _statisticsService.calculateStatistics(
       _allSessions,
       period: _selectedPeriod,
     );
-    debugPrint('Statistics result: totalShots=${_statistics?.totalShots}, totalScore=${_statistics?.totalScore}');
+    debugPrint(
+      'Statistics result: totalShots=${_statistics?.totalShots}, totalScore=${_statistics?.totalScore}',
+    );
   }
 
   @override
   Widget build(BuildContext context) {
     return Scaffold(
       appBar: AppBar(
-        title: Text(widget.singleSession != null ? 'Statistiques Session' : 'Statistiques'),
+        title: Text(
+          widget.singleSession != null
+              ? 'Statistiques Session'
+              : 'Statistiques',
+        ),
       ),
       body: _isLoading
           ? const Center(child: CircularProgressIndicator())
           : _statistics == null || _statistics!.totalShots == 0
-              ? _buildEmptyState()
+          ? _buildEmptyState()
-              : _buildStatistics(),
+          : _buildStatistics(),
     );
   }
 
@@ -101,7 +110,11 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
         child: Column(
           mainAxisAlignment: MainAxisAlignment.center,
           children: [
-            Icon(Icons.analytics_outlined, size: 64, color: Colors.grey.shade400),
+            Icon(
+              Icons.analytics_outlined,
+              size: 64,
+              color: Colors.grey.shade400,
+            ),
             const SizedBox(height: 16),
             Text(
               'Aucune donnee disponible',
@@ -292,11 +305,17 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
               children: [
                 Padding(
                   padding: const EdgeInsets.only(left: 16),
-                  child: Text('Peu', style: TextStyle(fontSize: 12, color: Colors.grey.shade600)),
+                  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)),
+                  child: Text(
+                    'Beaucoup',
+                    style: TextStyle(fontSize: 12, color: Colors.grey.shade600),
+                  ),
                 ),
               ],
             ),
@@ -306,28 +325,6 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
     );
   }
 
-  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)),
-        ],
-      ),
-    );
-  }
-
   Widget _buildPrecisionSection() {
     final precision = _statistics!.precision;
 
@@ -339,7 +336,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
           children: [
             Row(
               children: [
-                const Icon(Icons.center_focus_strong, color: AppTheme.successColor),
+                const Icon(
+                  Icons.center_focus_strong,
+                  color: AppTheme.successColor,
+                ),
                 const SizedBox(width: 8),
                 const Text(
                   'Precision',
@@ -368,12 +368,18 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
               ],
             ),
             const Divider(height: 32),
-            _buildStatRow('Distance moyenne du centre',
+            _buildStatRow(
-              '${(precision.avgDistanceFromCenter * 100).toStringAsFixed(1)}%'),
+              'Distance moyenne du centre',
-            _buildStatRow('Diametre de groupement',
+              '${(precision.avgDistanceFromCenter * 100).toStringAsFixed(1)}%',
-              '${(precision.groupingDiameter * 100).toStringAsFixed(1)}%'),
+            ),
-            _buildStatRow('Score moyen',
+            _buildStatRow(
-              _statistics!.avgScore.toStringAsFixed(2)),
+              'Diametre de groupement',
+              '${(precision.groupingDiameter * 100).toStringAsFixed(1)}%',
+            ),
+            _buildStatRow(
+              'Score moyen',
+              _statistics!.avgScore.toStringAsFixed(2),
+            ),
             _buildStatRow('Meilleur score', '${_statistics!.maxScore}'),
             _buildStatRow('Plus bas score', '${_statistics!.minScore}'),
           ],
@@ -386,8 +392,8 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
     final color = value > 70
         ? AppTheme.successColor
         : value > 40
-            ? AppTheme.warningColor
+        ? AppTheme.warningColor
-            : AppTheme.errorColor;
+        : AppTheme.errorColor;
 
     return Column(
       children: [
@@ -405,7 +411,7 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
               ),
             ),
             Text(
-              '${value.toStringAsFixed(0)}',
+              value.toStringAsFixed(0),
               style: TextStyle(
                 fontSize: 20,
                 fontWeight: FontWeight.bold,
@@ -415,10 +421,7 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
           ],
         ),
         const SizedBox(height: 8),
-        Text(
+        Text(title, style: const TextStyle(fontWeight: FontWeight.bold)),
-          title,
-          style: const TextStyle(fontWeight: FontWeight.bold),
-        ),
         Text(
           subtitle,
           style: TextStyle(fontSize: 10, color: Colors.grey.shade600),
@@ -439,7 +442,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
           children: [
             Row(
               children: [
-                const Icon(Icons.stacked_line_chart, color: AppTheme.warningColor),
+                const Icon(
+                  Icons.stacked_line_chart,
+                  color: AppTheme.warningColor,
+                ),
                 const SizedBox(width: 8),
                 const Text(
                   'Ecart Type',
@@ -453,21 +459,32 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
               style: TextStyle(color: Colors.grey.shade600, fontSize: 12),
             ),
             const SizedBox(height: 16),
-            _buildStatRow('Ecart type X (horizontal)',
+            _buildStatRow(
-              '${(stdDev.stdDevX * 100).toStringAsFixed(2)}%'),
+              'Ecart type X (horizontal)',
-            _buildStatRow('Ecart type Y (vertical)',
+              '${(stdDev.stdDevX * 100).toStringAsFixed(2)}%',
-              '${(stdDev.stdDevY * 100).toStringAsFixed(2)}%'),
+            ),
-            _buildStatRow('Ecart type radial',
+            _buildStatRow(
-              '${(stdDev.stdDevRadial * 100).toStringAsFixed(2)}%'),
+              'Ecart type Y (vertical)',
-            _buildStatRow('Ecart type score',
+              '${(stdDev.stdDevY * 100).toStringAsFixed(2)}%',
-              stdDev.stdDevScore.toStringAsFixed(2)),
+            ),
+            _buildStatRow(
+              'Ecart type radial',
+              '${(stdDev.stdDevRadial * 100).toStringAsFixed(2)}%',
+            ),
+            _buildStatRow(
+              'Ecart type score',
+              stdDev.stdDevScore.toStringAsFixed(2),
+            ),
             const Divider(height: 24),
-            _buildStatRow('Position moyenne X',
+            _buildStatRow(
-              '${(stdDev.meanX * 100).toStringAsFixed(1)}%'),
+              'Position moyenne X',
-            _buildStatRow('Position moyenne Y',
+              '${(stdDev.meanX * 100).toStringAsFixed(1)}%',
-              '${(stdDev.meanY * 100).toStringAsFixed(1)}%'),
+            ),
-            _buildStatRow('Score moyen',
+            _buildStatRow(
-              stdDev.meanScore.toStringAsFixed(2)),
+              'Position moyenne Y',
+              '${(stdDev.meanY * 100).toStringAsFixed(1)}%',
+            ),
+            _buildStatRow('Score moyen', stdDev.meanScore.toStringAsFixed(2)),
           ],
         ),
       ),
@@ -504,7 +521,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
               ),
               child: Row(
                 children: [
-                  const Icon(Icons.compass_calibration, color: AppTheme.primaryColor),
+                  const Icon(
+                    Icons.compass_calibration,
+                    color: AppTheme.primaryColor,
+                  ),
                   const SizedBox(width: 12),
                   Expanded(
                     child: Column(
@@ -536,7 +556,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
                 ),
                 child: Row(
                   children: [
-                    const Icon(Icons.warning_amber, color: AppTheme.warningColor),
+                    const Icon(
+                      Icons.warning_amber,
+                      color: AppTheme.warningColor,
+                    ),
                     const SizedBox(width: 12),
                     Expanded(
                       child: Column(
@@ -556,7 +579,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
             const SizedBox(height: 16),
 
             // Sector distribution
-            const Text('Repartition par secteur:', style: TextStyle(fontWeight: FontWeight.bold)),
+            const Text(
+              'Repartition par secteur:',
+              style: TextStyle(fontWeight: FontWeight.bold),
+            ),
             const SizedBox(height: 8),
             Wrap(
               spacing: 8,
@@ -572,7 +598,10 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
             const SizedBox(height: 16),
 
             // Quadrant distribution
-            const Text('Repartition par quadrant:', style: TextStyle(fontWeight: FontWeight.bold)),
+            const Text(
+              'Repartition par quadrant:',
+              style: TextStyle(fontWeight: FontWeight.bold),
+            ),
             const SizedBox(height: 8),
             _buildQuadrantGrid(regional.quadrantDistribution),
           ],
@@ -598,7 +627,9 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
     return Container(
       padding: const EdgeInsets.symmetric(horizontal: 12, vertical: 6),
       decoration: BoxDecoration(
-        color: count > 0 ? AppTheme.primaryColor.withValues(alpha: 0.1) : Colors.grey.shade100,
+        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,
@@ -649,10 +680,7 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
         children: [
           Text(
             '$count',
-            style: const TextStyle(
+            style: const TextStyle(fontWeight: FontWeight.bold, fontSize: 24),
-              fontWeight: FontWeight.bold,
-              fontSize: 24,
-            ),
           ),
           Text(
             '${percentage.toStringAsFixed(0)}%',
@@ -712,10 +740,7 @@ class _StatCard extends StatelessWidget {
                 color: color,
               ),
             ),
-            Text(
+            Text(title, style: TextStyle(color: Colors.grey.shade600)),
-              title,
-              style: TextStyle(color: Colors.grey.shade600),
-            ),
           ],
         ),
       ),

lib/main.dart

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

lib/services/ai_export_service.dart

@@ -0,0 +1,146 @@
+import 'dart:convert';
+import 'dart:io';
+import 'package:http/http.dart' as http;
+import 'package:device_info_plus/device_info_plus.dart';
+import 'package:crypto/crypto.dart';
+import '../data/models/shot.dart';
+import '../data/models/target_type.dart';
+import 'wallet_identity_service.dart';
+
+class AiExportService {
+  // Utilise 10.0.2.2 pour l'émulateur Android, sinon localhost.
+  // Pour un appareil physique, il faudra utiliser l'IP locale du PC (ex: 192.168.1.X).
+  static String get _defaultApiUrl {
+    if (Platform.isAndroid) {
+      return 'http://10.0.2.2:3000/api/upload';
+    }
+    return 'http://localhost:3000/api/upload';
+  }
+
+  /// Extrait les informations de l'appareil
+  Future<Map<String, dynamic>> _getDeviceInfo() async {
+    final DeviceInfoPlugin deviceInfoPlugin = DeviceInfoPlugin();
+    Map<String, dynamic> deviceData = {'model': 'Unknown', 'os': 'Unknown'};
+
+    try {
+      if (Platform.isAndroid) {
+        final androidInfo = await deviceInfoPlugin.androidInfo;
+        deviceData['model'] = '${androidInfo.brand} ${androidInfo.model}';
+        deviceData['os'] = 'Android ${androidInfo.version.release}';
+      } else if (Platform.isIOS) {
+        final iosInfo = await deviceInfoPlugin.iosInfo;
+        deviceData['model'] = iosInfo.name;
+        deviceData['os'] = '${iosInfo.systemName} ${iosInfo.systemVersion}';
+      } else if (Platform.isWindows) {
+        final windowsInfo = await deviceInfoPlugin.windowsInfo;
+        deviceData['model'] = 'Windows PC';
+        deviceData['os'] = 'Windows ${windowsInfo.majorVersion}.${windowsInfo.minorVersion}';
+      }
+    } catch (e) {
+      print('Erreur lors de la récupération des infos appareil: $e');
+    }
+
+    return deviceData;
+  }
+
+  /// Exporte l'image et les données de plotting vers le serveur
+  Future<bool> exportData({
+    required String imagePath,
+    required String sessionId,
+    required TargetType targetType,
+    required double targetCenterX,
+    required double targetCenterY,
+    required double targetRadius,
+    required List<Shot> shots,
+    String? apiUrl,
+  }) async {
+    try {
+      final url = Uri.parse(apiUrl ?? _defaultApiUrl);
+      final request = http.MultipartRequest('POST', url);
+
+      // 1. Prepare image
+      final file = File(imagePath);
+      if (!await file.exists()) {
+        throw Exception('Le fichier image n\'existe pas');
+      }
+
+      // Read image metadata (approximate dimensions since decoding image can be heavy)
+      // On the frontend we usually have aspectRatio, here we use generic values if not available.
+      final deviceData = await _getDeviceInfo();
+
+      // We approximate the target corners from center and radius
+      // radius is relative (0 to 1). We need image width/height to get pixels.
+      // But we can just pass relative corners as well, or a normalized bounding box.
+      // Let's create normalized corners (0 to 1).
+      final corners = [
+        {"norm_x": targetCenterX - targetRadius, "norm_y": targetCenterY - targetRadius},
+        {"norm_x": targetCenterX + targetRadius, "norm_y": targetCenterY - targetRadius},
+        {"norm_x": targetCenterX + targetRadius, "norm_y": targetCenterY + targetRadius},
+        {"norm_x": targetCenterX - targetRadius, "norm_y": targetCenterY + targetRadius},
+      ];
+
+      // Format the impacts
+      final formattedImpacts = shots.asMap().entries.map((entry) {
+        final index = entry.key;
+        final shot = entry.value;
+        return {
+          "id": index + 1,
+          "label": "bullet_hole",
+          "score": shot.score,
+          "coords": {
+            "norm_x": shot.x,
+            "norm_y": shot.y
+          }
+        };
+      }).toList();
+
+      // Get and hash the wallet identity
+      final walletService = WalletIdentityService();
+      final phrase = await walletService.getIdentityPhrase();
+      final phraseBytes = utf8.encode(phrase);
+      final walletHash = sha256.convert(phraseBytes).toString();
+
+      // Build JSON payload
+      final plottingJson = {
+        "session_id": sessionId,
+        "wallet_hash": walletHash,
+        "timestamp": DateTime.now().toIso8601String(),
+        "device_info": deviceData,
+        "target_metadata": {
+          "type": targetType.name,
+          "distance_meters": 25, // Default/placeholder
+          "weapon": "Unknown", // Default/placeholder
+          // The backend could extract exact width/height from the image. 
+        },
+        "plotting": {
+          "target_corners": corners,
+          "impacts": formattedImpacts
+        }
+      };
+
+      // Add fields to request
+      request.fields['plotting'] = jsonEncode(plottingJson);
+
+      // Add file
+      request.files.add(
+        await http.MultipartFile.fromPath('photo', imagePath),
+      );
+
+      // Send request
+      final response = await request.send();
+
+      if (response.statusCode == 200) {
+        final responseData = await response.stream.bytesToString();
+        print('Export réussi: $responseData');
+        return true;
+      } else {
+        final errorData = await response.stream.bytesToString();
+        print('Erreur d\'export: ${response.statusCode} - $errorData');
+        return false;
+      }
+    } catch (e) {
+      print('Exception lors de l\'export: $e');
+      return false;
+    }
+  }
+}

lib/services/distortion_correction_service.dart

@@ -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 r = _lerp2D(
-    final g = _lerp2D(p00.g.toDouble(), p10.g.toDouble(), p01.g.toDouble(), p11.g.toDouble(), wx, wy);
+      p00.r.toDouble(),
-    final b = _lerp2D(p00.b.toDouble(), p10.b.toDouble(), p01.b.toDouble(), p11.b.toDouble(), wx, wy);
+      p10.r.toDouble(),
-    final a = _lerp2D(p00.a.toDouble(), p10.a.toDouble(), p01.a.toDouble(), p11.a.toDouble(), wx, wy);
+      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(
+    final matrix = _computePerspectiveMatrix(srcCorners, [
-      srcCorners,
+      (x: 0.0, y: 0.0),
-      [
+      (x: dstWidth.toDouble(), y: 0.0),
-        (x: 0.0, y: 0.0),
+      (x: dstWidth.toDouble(), y: dstHeight.toDouble()),
-        (x: dstWidth.toDouble(), y: 0.0),
+      (x: 0.0, y: dstHeight.toDouble()),
-        (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);
+  }
 }

lib/services/opencv_impact_detection_service.dart

@@ -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 'dart:math' as math;
-// import 'package:opencv_dart/opencv_dart.dart' as cv;
+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 {
-    return [];
+      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');
+    // Basic implementation: use average color/brightness of reference points
-    return [];
+    // 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);
   }
 }

lib/services/opencv_target_service.dart

@@ -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,
+    );
+  }
+}

lib/services/target_detection_service.dart

@@ -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'
-export 'image_processing_service.dart' show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
+    show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
-export 'opencv_impact_detection_service.dart' show OpenCVDetectionSettings, OpenCVDetectedImpact;
+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 =
-        _opencvService = opencvService ?? OpenCVImpactDetectionService();
+           imageProcessingService ?? ImageProcessingService(),
+       _opencvService = opencvService ?? OpenCVImpactDetectionService();
 
   /// Detect target and impacts from an image file
-  TargetDetectionResult detectTarget(
+  TargetDetectionResult detectTarget(String imagePath, TargetType targetType) {
-    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(
@@ -149,9 +154,9 @@ class TargetDetectionService {
 
     // Vertical zones
     if (dy < -0.25) return 5; // Head zone (top)
-    if (dy < 0.0) return 5;   // Center mass (upper body)
+    if (dy < 0.0) return 5; // Center mass (upper body)
-    if (dy < 0.15) return 4;  // Body
+    if (dy < 0.15) return 4; // Body
-    if (dy < 0.35) return 3;  // Lower body
+    if (dy < 0.35) return 3; // Lower body
 
     return 0; // Outside target
   }
@@ -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
+      final refPoints = references.map((r) => (x: r.x, y: r.y)).toList();
-          .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 [];
     }
   }
+
 }

lib/services/wallet_identity_service.dart

@@ -0,0 +1,112 @@
+import 'dart:math';
+import 'dart:convert';
+import 'package:crypto/crypto.dart';
+import 'package:shared_preferences/shared_preferences.dart';
+import 'package:device_info_plus/device_info_plus.dart';
+import 'dart:io';
+
+class WalletIdentityService {
+  static const String _prefsKey = 'wallet_identity_phrase';
+  static const String _uploadEnabledKey = 'is_ai_upload_enabled';
+  
+  // A standard list of 256 words (8 bits of entropy per word)
+  static const List<String> _wordList = [
+    // ... same as before
+    'abandon', 'ability', 'able', 'about', 'above', 'absent', 'absorb', 'abstract', 'absurd', 'abuse',
+    'access', 'accident', 'account', 'accuse', 'achieve', 'acid', 'acoustic', 'acquire', 'across', 'act',
+    'action', 'actor', 'actress', 'actual', 'adapt', 'add', 'addict', 'address', 'adjust', 'admit',
+    'adult', 'advance', 'advice', 'aerobic', 'affair', 'afford', 'afraid', 'again', 'age', 'agent',
+    'agree', 'ahead', 'aim', 'air', 'airport', 'aisle', 'alarm', 'album', 'alcohol', 'alert',
+    'alien', 'all', 'alley', 'allow', 'almost', 'alone', 'alpha', 'already', 'also', 'alter',
+    'always', 'amateur', 'amazing', 'among', 'amount', 'amused', 'analyst', 'anchor', 'ancient', 'anger',
+    'angle', 'angry', 'animal', 'ankle', 'announce', 'annual', 'another', 'answer', 'antenna', 'antique',
+    'anxiety', 'any', 'apart', 'apology', 'appear', 'apple', 'approve', 'april', 'arch', 'arctic',
+    'area', 'arena', 'argue', 'arm', 'armed', 'armor', 'army', 'around', 'arrange', 'arrest',
+    'arrive', 'arrow', 'art', 'artefact', 'artist', 'artwork', 'ask', 'aspect', 'assault', 'asset',
+    'assist', 'assume', 'asthma', 'athlete', 'atom', 'attack', 'attend', 'attitude', 'attract', 'auction',
+    'audit', 'august', 'aunt', 'author', 'auto', 'autumn', 'average', 'avocado', 'avoid', 'awake',
+    'aware', 'away', 'awesome', 'awful', 'awkward', 'axis', 'baby', 'bachelor', 'bacon', 'badge',
+    'bag', 'balance', 'balcony', 'ball', 'bamboo', 'banana', 'banner', 'bar', 'barely', 'bargain',
+    'barrel', 'base', 'basic', 'basket', 'battle', 'beach', 'bean', 'beauty', 'because', 'become',
+    'beef', 'before', 'begin', 'behave', 'behind', 'believe', 'below', 'belt', 'bench', 'benefit',
+    'best', 'betray', 'better', 'between', 'beyond', 'bicycle', 'bid', 'bike', 'bind', 'biology',
+    'bird', 'birth', 'bitter', 'black', 'blade', 'blame', 'blanket', 'blast', 'bleak', 'bless',
+    'blind', 'blood', 'blossom', 'blouse', 'blue', 'blur', 'blush', 'board', 'boat', 'body',
+    'boil', 'bomb', 'bone', 'bonus', 'book', 'boost', 'border', 'boring', 'borrow', 'boss',
+    'bottom', 'bounce', 'box', 'boy', 'bracket', 'brain', 'brand', 'brass', 'brave', 'bread',
+    'breeze', 'brick', 'bridge', 'brief', 'bright', 'bring', 'brisk', 'broccoli', 'broken', 'bronze',
+    'broom', 'brother', 'brown', 'brush', 'bubble', 'buddy', 'budget', 'buffalo', 'build', 'bulb',
+    'bulk', 'bullet', 'bundle', 'bunker', 'burden', 'burger', 'burst', 'bus', 'business', 'butter'
+  ];
+
+  /// Vérifie si l'utilisateur a accepté l'envoi de données à l'IA
+  Future<bool> isUploadEnabled() async {
+    final prefs = await SharedPreferences.getInstance();
+    return prefs.getBool(_uploadEnabledKey) ?? false;
+  }
+
+  /// Active ou désactive l'envoi de données
+  Future<void> setUploadEnabled(bool enabled) async {
+    final prefs = await SharedPreferences.getInstance();
+    await prefs.setBool(_uploadEnabledKey, enabled);
+  }
+
+  /// Gets the unique 15-word identity phrase
+  Future<String> getIdentityPhrase() async {
+    final prefs = await SharedPreferences.getInstance();
+    
+    // Check if we already generated it
+    final existingPhrase = prefs.getString(_prefsKey);
+    if (existingPhrase != null && existingPhrase.isNotEmpty) {
+      return existingPhrase;
+    }
+    
+    // Generate new phrase based on device ID
+    final phrase = await _generatePhraseFromDevice();
+    
+    // Save for future use
+    await prefs.setString(_prefsKey, phrase);
+    
+    return phrase;
+  }
+
+  Future<String> _generatePhraseFromDevice() async {
+    final deviceInfo = DeviceInfoPlugin();
+    String deviceId = 'unknown_device_${DateTime.now().millisecondsSinceEpoch}';
+    
+    try {
+      if (Platform.isAndroid) {
+        final androidInfo = await deviceInfo.androidInfo;
+        deviceId = androidInfo.id; // Unique Android ID
+      } else if (Platform.isIOS) {
+        final iosInfo = await deviceInfo.iosInfo;
+        deviceId = iosInfo.identifierForVendor ?? deviceId;
+      } else if (Platform.isWindows) {
+        final windowsInfo = await deviceInfo.windowsInfo;
+        deviceId = windowsInfo.deviceId;
+      }
+    } catch (e) {
+      print('Erreur lecture device ID: $e');
+    }
+    
+    // Add a salt to the device ID
+    final salt = 'bully_app_wallet_salt_v1';
+    final bytes = utf8.encode(deviceId + salt);
+    final digest = sha256.convert(bytes);
+    
+    // Use the hash to seed a random number generator
+    // We take the first 4 bytes of the hash as the seed
+    final seedBytes = digest.bytes.sublist(0, 4);
+    final seed = (seedBytes[0] << 24) | (seedBytes[1] << 16) | (seedBytes[2] << 8) | seedBytes[3];
+    
+    final random = Random(seed);
+    
+    List<String> phraseWords = [];
+    for (int i = 0; i < 15; i++) {
+      final randomIndex = random.nextInt(_wordList.length);
+      phraseWords.add(_wordList[randomIndex]);
+    }
+    
+    return phraseWords.join(' ');
+  }
+}

macos/Flutter/GeneratedPluginRegistrant.swift

@@ -5,12 +5,16 @@
 import FlutterMacOS
 import Foundation
 
+import device_info_plus
 import file_selector_macos
 import path_provider_foundation
+import shared_preferences_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"))
+  SharedPreferencesPlugin.register(with: registry.registrar(forPlugin: "SharedPreferencesPlugin"))
   SqflitePlugin.register(with: registry.registrar(forPlugin: "SqflitePlugin"))
 }

pubspec.lock

@@ -25,6 +25,14 @@ 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:
@@ -61,12 +69,12 @@ 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
+    dependency: "direct main"
     description:
       name: crypto
       sha256: c8ea0233063ba03258fbcf2ca4d6dadfefe14f02fab57702265467a19f27fadf
@@ -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:
@@ -200,6 +240,14 @@ 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:
@@ -209,7 +257,7 @@ packages:
     source: hosted
     version: "1.0.0"
   http:
-    dependency: transitive
+    dependency: "direct main"
     description:
       name: http
       sha256: "87721a4a50b19c7f1d49001e51409bddc46303966ce89a65af4f4e6004896412"
@@ -244,10 +292,10 @@ 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 +308,10 @@ 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:
@@ -384,6 +432,14 @@ 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 +448,14 @@ 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:
@@ -496,6 +560,62 @@ packages:
       url: "https://pub.dev"
     source: hosted
     version: "2.2.0"
+  shared_preferences:
+    dependency: "direct main"
+    description:
+      name: shared_preferences
+      sha256: c3025c5534b01739267eb7d76959bbc25a6d10f6988e1c2a3036940133dd10bf
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.5.5"
+  shared_preferences_android:
+    dependency: transitive
+    description:
+      name: shared_preferences_android
+      sha256: e8d4762b1e2e8578fc4d0fd548cebf24afd24f49719c08974df92834565e2c53
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.23"
+  shared_preferences_foundation:
+    dependency: transitive
+    description:
+      name: shared_preferences_foundation
+      sha256: "4e7eaffc2b17ba398759f1151415869a34771ba11ebbccd1b0145472a619a64f"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.5.6"
+  shared_preferences_linux:
+    dependency: transitive
+    description:
+      name: shared_preferences_linux
+      sha256: "580abfd40f415611503cae30adf626e6656dfb2f0cee8f465ece7b6defb40f2f"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.1"
+  shared_preferences_platform_interface:
+    dependency: transitive
+    description:
+      name: shared_preferences_platform_interface
+      sha256: "649dc798a33931919ea356c4305c2d1f81619ea6e92244070b520187b5140ef9"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.2"
+  shared_preferences_web:
+    dependency: transitive
+    description:
+      name: shared_preferences_web
+      sha256: c49bd060261c9a3f0ff445892695d6212ff603ef3115edbb448509d407600019
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.3"
+  shared_preferences_windows:
+    dependency: transitive
+    description:
+      name: shared_preferences_windows
+      sha256: "94ef0f72b2d71bc3e700e025db3710911bd51a71cefb65cc609dd0d9a982e3c1"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.4.1"
   sky_engine:
     dependency: transitive
     description: flutter
@@ -653,6 +773,22 @@ 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:
@@ -679,4 +815,4 @@ packages:
     version: "3.1.3"
 sdks:
   dart: ">=3.12.0-35.0.dev <4.0.0"
-  flutter: ">=3.35.0"
+  flutter: ">=3.38.1"

pubspec.yaml

@@ -35,11 +35,11 @@ dependencies:
   # 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
@@ -63,6 +63,13 @@ dependencies:
 
   # Image processing for impact detection
   image: ^4.1.7
+  http: ^1.6.0
+  device_info_plus: ^13.1.0
+  shared_preferences: ^2.5.5
+  crypto: ^3.0.7
+
+  # 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
 

tests/find_homography_test.dart

@@ -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);
+}

tests/opencv_quad_test.dart

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

tests/test_homography.dart

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