1 Commits

Author SHA1 Message Date
qguillaume
3b2172e3ec feat: integration mlkit Document Scanner pour la prise de photo
Remplace la camera maison par le scanner de documents Google ML Kit
qui detecte les bords de la cible et la redresse de face automatiquement
(mode base = sans filtre couleur, pour conserver les couleurs reelles).

- nouveau service DocumentScannerService (scanTarget)
- capture_screen branche sur le scanner mlkit, reglages galerie 1280/q75 conserves
- AndroidManifest: meta-data com.google.mlkit.vision.DEPENDENCIES=docscanner

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-15 17:20:04 +02:00
79 changed files with 5585 additions and 2532 deletions

View File

@@ -41,12 +41,10 @@ flutter test --coverage
## Features
### Capture de cibles de tir
### Analyse de cibles de tir
- Support de cibles concentriques (anneaux) et silhouettes
- Chargement d'images de cibles depuis la galerie ou la caméra
- Aperçu caméra avec aide au cadrage : détection OpenCV de la cible (mire)
et indicateur de parallélisme par accéléromètre (pitch/roll)
- Écran de centrage/recadrage : rotation fine, déplacement pixel par pixel
- Détection automatique du centre et du rayon de la cible
### Calibration des cibles
- Ajustement manuel du centre, du rayon et du nombre d'anneaux (1-10)
@@ -54,11 +52,14 @@ flutter test --coverage
- Slider global pour redimensionner tous les anneaux proportionnellement
- Visualisation en temps réel des zones de score
### Placement des impacts
- **Éditeur d'impacts plein écran** : tap pour ajouter, tap sur un impact pour
l'éditer (score/suppression), appui long pour déplacer, pincer pour zoomer
- Le placement est entièrement manuel ; le bouton ↻ de l'écran de plotting
efface tous les impacts sans toucher à la calibration
### Détection d'impacts
- **Ajout manuel** : cliquer sur l'image pour placer un impact
- **Détection automatique** : algorithme de détection de blobs avec paramètres ajustables
- Seuil de luminosité
- Taille min/max des impacts
- Circularité minimale
- Ratio de remplissage (distingue les trous pleins des cercles vides)
- **Détection par références** : sélectionner 2-4 impacts manuellement, l'algorithme apprend leurs caractéristiques et détecte les impacts similaires
### Calcul des scores
- Score automatique basé sur la position de l'impact dans les zones

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@@ -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
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:683:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:104:5 - avoid_print
info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:116:5 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:297:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:342:7 - avoid_print
27 issues found. (ran in 1.9s)

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@@ -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
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:297:9 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:336:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:328:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:377:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:414:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:23:9 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:29:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:31:7 - avoid_print
info - Don't invoke 'print' in production code - lib\services\yolo_impact_detection_service.dart:67:7 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:4:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:5:3 - avoid_print
info - Don't invoke 'print' in production code - tests\opencv_quad_test.dart:6:3 - avoid_print
info - Don't invoke 'print' in production code - tests\test_homography.dart:4:3 - avoid_print

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

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@@ -37,6 +37,10 @@
<meta-data
android:name="flutterEmbedding"
android:value="2" />
<!-- ML Kit Document Scanner : télécharge le module de scan de la cible -->
<meta-data
android:name="com.google.mlkit.vision.DEPENDENCIES"
android:value="docscanner" />
</application>
<!-- Required to query activities that can process text, see:
https://developer.android.com/training/package-visibility and

View File

@@ -13,7 +13,8 @@ dashboard/out/
.env.test.local
.env.production.local
# Database (contient des données utilisateurs — jamais dans git)
# Database
backendia/uploads/data/database.sqlite
*.sqlite
*.sqlite-journal
@@ -22,6 +23,7 @@ uploads/images/*
!uploads/images/.gitkeep
uploads/data/*
!uploads/data/.gitkeep
!uploads/data/database.sqlite
exports/*
!exports/.gitkeep

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@@ -0,0 +1,116 @@
{
"session_id": "session_1777452202935",
"timestamp": "2026-04-29T08:43:22.943303",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
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},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.3934941044560185,
"norm_y": 0.665676540798611
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.6055302372685185,
"norm_y": 0.6953124999999999
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.5981137876157407,
"norm_y": 0.5249565972222221
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.6759033203125,
"norm_y": 0.4786376953125
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.48608398437499994,
"norm_y": 0.5490315755208333
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.5101625795717593,
"norm_y": 0.43238661024305547
}
},
{
"id": 7,
"label": "bullet_hole",
"score": 7,
"coords": {
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}
},
{
"id": 8,
"label": "bullet_hole",
"score": 9,
"coords": {
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}
},
{
"id": 9,
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"coords": {
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"norm_y": 0.4397786458333333
}
}
]
}
}

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@@ -0,0 +1,116 @@
{
"session_id": "session_1777452481252",
"timestamp": "2026-04-29T08:48:01.259705",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
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},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 6,
"coords": {
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"norm_y": 0.665676540798611
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.6055302372685185,
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},
{
"id": 3,
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"score": 8,
"coords": {
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}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
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}
},
{
"id": 5,
"label": "bullet_hole",
"score": 9,
"coords": {
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"norm_y": 0.5490315755208333
}
},
{
"id": 6,
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"score": 9,
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}
},
{
"id": 7,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.6296079282407407,
"norm_y": 0.4203152126736111
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 9,
"coords": {
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},
{
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"coords": {
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}
}
]
}
}

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@@ -0,0 +1,44 @@
{
"session_id": "session_1777452613625",
"timestamp": "2026-04-29T08:50:13.631206",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 10,
"coords": {
"norm_x": 0.49810836226851846,
"norm_y": 0.4981011284722222
}
}
]
}
}

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@@ -0,0 +1,144 @@
{
"session_id": "session_1777463308809",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-29T11:48:28.834236",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.38424660011574074,
"norm_y": 0.3666042751736111
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.6055302372685185,
"norm_y": 0.396240234375
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.5860903139467593,
"norm_y": 0.5999620225694443
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.33517433449074074,
"norm_y": 0.5592041015625
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.6073612919560185,
"norm_y": 0.5101047092013888
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.432373046875,
"norm_y": 0.46663411458333337
}
},
{
"id": 7,
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"score": 9,
"coords": {
"norm_x": 0.45181297019675926,
"norm_y": 0.5564236111111112
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 10,
"coords": {
"norm_x": 0.5221860532407407,
"norm_y": 0.48792860243055547
}
},
{
"id": 9,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.6564335575810184,
"norm_y": 0.7536349826388888
}
},
{
"id": 10,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.4712528935185185,
"norm_y": 0.7018229166666666
}
},
{
"id": 11,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.3981327763310185,
"norm_y": 0.7018229166666666
}
},
{
"id": 12,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.48144531249999994,
"norm_y": 0.8212483723958334
}
}
]
}
}

View File

@@ -0,0 +1,117 @@
{
"session_id": "session_1777463703756",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-29T11:55:03.765285",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.38424660011574074,
"norm_y": 0.45178222656249994
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.6518247251157407,
"norm_y": 0.3638237847222222
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.5490415219907407,
"norm_y": 0.66845703125
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.405517578125,
"norm_y": 0.6758490668402777
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.7268066406249999,
"norm_y": 0.6758490668402777
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.5471806278935185,
"norm_y": 0.529568142361111
}
},
{
"id": 7,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.44720504195601846,
"norm_y": 0.5980631510416666
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.45458984375,
"norm_y": 0.4221462673611111
}
},
{
"id": 9,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.5203251591435185,
"norm_y": 0.3638237847222222
}
}
]
}
}

View File

@@ -0,0 +1,117 @@
{
"session_id": "session_1777464156234",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-29T12:02:36.255849",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.38424660011574074,
"norm_y": 0.45178222656249994
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.6518247251157407,
"norm_y": 0.3638237847222222
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.5490415219907407,
"norm_y": 0.66845703125
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.405517578125,
"norm_y": 0.6758490668402777
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.7268066406249999,
"norm_y": 0.6758490668402777
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.5471806278935185,
"norm_y": 0.529568142361111
}
},
{
"id": 7,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.44720504195601846,
"norm_y": 0.5980631510416666
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.45458984375,
"norm_y": 0.4221462673611111
}
},
{
"id": 9,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.5203251591435185,
"norm_y": 0.3638237847222222
}
}
]
}
}

View File

@@ -0,0 +1,180 @@
{
"session_id": "session_1777464607256",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-29T12:10:07.260954",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.31570457175925926,
"norm_y": 0.7388509114583333
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.3184814453125,
"norm_y": 0.6489935980902778
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.3110966435185185,
"norm_y": 0.529568142361111
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.31570457175925926,
"norm_y": 0.4416097005208333
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 4,
"coords": {
"norm_x": 0.31570457175925926,
"norm_y": 0.34252929687499994
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.32589699074074074,
"norm_y": 0.2332763671875
}
},
{
"id": 7,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.45458984375,
"norm_y": 0.19624837239583331
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.5981137876157407,
"norm_y": 0.23049587673611108
}
},
{
"id": 9,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.6907045717592593,
"norm_y": 0.3546006944444444
}
},
{
"id": 10,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.699951171875,
"norm_y": 0.48046875
}
},
{
"id": 11,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.6268310546874999,
"norm_y": 0.5416395399305556
}
},
{
"id": 12,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.49072265624999994,
"norm_y": 0.5610351562499999
}
},
{
"id": 13,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.4203495732060185,
"norm_y": 0.536960177951389
}
},
{
"id": 14,
"label": "bullet_hole",
"score": 6,
"coords": {
"norm_x": 0.5370180483217593,
"norm_y": 0.6879204644097222
}
},
{
"id": 15,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.6175537109375,
"norm_y": 0.7601453993055556
}
},
{
"id": 16,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.7027280454282406,
"norm_y": 0.8406439887152777
}
}
]
}
}

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

View File

@@ -0,0 +1,270 @@
{
"session_id": "session_1777553535029",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-30T12:52:15.048830",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 0,
"coords": {
"norm_x": 0.17681929976851848,
"norm_y": 0.8851318359375
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 0,
"coords": {
"norm_x": 0.17681929976851848,
"norm_y": 0.7721489800347222
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.17959617332175923,
"norm_y": 0.6888020833333334
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.17959617332175923,
"norm_y": 0.6342095269097222
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.17959617332175923,
"norm_y": 0.560153537326389
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.17959617332175923,
"norm_y": 0.5138346354166666
}
},
{
"id": 7,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.1814579716435185,
"norm_y": 0.45273166232638884
}
},
{
"id": 8,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.18701171875,
"norm_y": 0.3878987630208333
}
},
{
"id": 9,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.18887351707175926,
"norm_y": 0.2925482855902778
}
},
{
"id": 10,
"label": "bullet_hole",
"score": 0,
"coords": {
"norm_x": 0.2036747685185185,
"norm_y": 0.20085991753472218
}
},
{
"id": 11,
"label": "bullet_hole",
"score": 0,
"coords": {
"norm_x": 0.27035499855324074,
"norm_y": 0.16200086805555558
}
},
{
"id": 12,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.37588523582175926,
"norm_y": 0.1546088324652778
}
},
{
"id": 13,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.46292136863425926,
"norm_y": 0.1518283420138889
}
},
{
"id": 14,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.6814579716435185,
"norm_y": 0.1499294704861111
}
},
{
"id": 15,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.5509033203125,
"norm_y": 0.1546088324652778
}
},
{
"id": 16,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.6156919126157407,
"norm_y": 0.1546088324652778
}
},
{
"id": 17,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.7703251591435185,
"norm_y": 0.2360568576388889
}
},
{
"id": 18,
"label": "bullet_hole",
"score": 4,
"coords": {
"norm_x": 0.7110595703125,
"norm_y": 0.3536512586805555
}
},
{
"id": 19,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.6027524594907407,
"norm_y": 0.4129231770833333
}
},
{
"id": 20,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.4823911313657407,
"norm_y": 0.4304877387152777
}
},
{
"id": 21,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.39627097800925926,
"norm_y": 0.43509928385416663
}
},
{
"id": 22,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.289794921875,
"norm_y": 0.43238661024305547
}
},
{
"id": 23,
"label": "bullet_hole",
"score": 2,
"coords": {
"norm_x": 0.7166440610532407,
"norm_y": 0.7693684895833333
}
},
{
"id": 24,
"label": "bullet_hole",
"score": 3,
"coords": {
"norm_x": 0.7314453125,
"norm_y": 0.7008734809027778
}
},
{
"id": 25,
"label": "bullet_hole",
"score": 1,
"coords": {
"norm_x": 0.7879331235532407,
"norm_y": 0.7601453993055556
}
},
{
"id": 26,
"label": "bullet_hole",
"score": 0,
"coords": {
"norm_x": 0.736083984375,
"norm_y": 0.828640407986111
}
}
]
}
}

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

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@@ -0,0 +1,90 @@
{
"session_id": "session_1777554006515",
"wallet_hash": "cc60fcaa5ef7fdc9be3dd1adba4157fa6dfae2845da45b830b5ef2b7f473d887",
"timestamp": "2026-04-30T13:00:06.519693",
"device_info": {
"model": "google sdk_gphone64_x86_64",
"os": "Android 16"
},
"target_metadata": {
"type": "concentric",
"distance_meters": 25,
"weapon": "Unknown"
},
"plotting": {
"target_corners": [
{
"norm_x": 0.09999999999999998,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.09999999999999998
},
{
"norm_x": 0.9,
"norm_y": 0.9
},
{
"norm_x": 0.09999999999999998,
"norm_y": 0.9
}
],
"impacts": [
{
"id": 1,
"label": "bullet_hole",
"score": 5,
"coords": {
"norm_x": 0.267578125,
"norm_y": 0.5554741753472222
}
},
{
"id": 2,
"label": "bullet_hole",
"score": 7,
"coords": {
"norm_x": 0.5712583188657407,
"norm_y": 0.3592800564236111
}
},
{
"id": 3,
"label": "bullet_hole",
"score": 4,
"coords": {
"norm_x": 0.7555239076967593,
"norm_y": 0.5703938802083333
}
},
{
"id": 4,
"label": "bullet_hole",
"score": 4,
"coords": {
"norm_x": 0.6666259765625,
"norm_y": 0.6759168836805556
}
},
{
"id": 5,
"label": "bullet_hole",
"score": 9,
"coords": {
"norm_x": 0.5490415219907407,
"norm_y": 0.5212944878472222
}
},
{
"id": 6,
"label": "bullet_hole",
"score": 8,
"coords": {
"norm_x": 0.4897768373842592,
"norm_y": 0.39352756076388895
}
}
]
}
}

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@@ -3,6 +3,7 @@ import 'package:provider/provider.dart';
import 'core/theme/theme_provider.dart';
import 'core/theme/app_theme.dart';
import 'main_navigation_holder.dart';
import 'features/home/home_screen.dart';
import 'package:flutter_localizations/flutter_localizations.dart';
class BullyApp extends StatelessWidget {

View File

@@ -1,76 +0,0 @@
/// Bouton d'information (ⓘ) qui explique des métriques à l'utilisateur.
///
/// Affiche une petite icône cliquable ; au clic, une boîte de dialogue
/// détaille la signification de chaque statistique de la carte associée.
library;
import 'package:flutter/material.dart';
/// Explication d'une métrique : un libellé et sa description.
class MetricExplanation {
final String label;
final String description;
const MetricExplanation(this.label, this.description);
}
class MetricInfoButton extends StatelessWidget {
final String title;
final List<MetricExplanation> explanations;
const MetricInfoButton({
super.key,
required this.title,
required this.explanations,
});
@override
Widget build(BuildContext context) {
return IconButton(
icon: Icon(Icons.info_outline, size: 18, color: Colors.grey[500]),
visualDensity: VisualDensity.compact,
padding: EdgeInsets.zero,
constraints: const BoxConstraints(),
tooltip: 'À quoi ça correspond ?',
onPressed: () => _showInfo(context),
);
}
void _showInfo(BuildContext context) {
showDialog<void>(
context: context,
builder: (context) => AlertDialog(
title: Text(title),
content: SingleChildScrollView(
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
mainAxisSize: MainAxisSize.min,
children: [
for (final e in explanations)
Padding(
padding: const EdgeInsets.only(bottom: 14),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
e.label,
style: const TextStyle(fontWeight: FontWeight.bold),
),
const SizedBox(height: 2),
Text(e.description),
],
),
),
],
),
),
actions: [
TextButton(
onPressed: () => Navigator.of(context).pop(),
child: const Text('Compris'),
),
],
),
);
}
}

View File

@@ -1,3 +1,4 @@
import 'dart:io';
import 'package:sqflite/sqflite.dart';
import 'package:path/path.dart';
import '../models/session.dart';
@@ -10,12 +11,6 @@ import '../../core/constants/app_constants.dart';
class DatabaseHelper {
static DatabaseHelper? _instance;
static Database? _database;
// On met en cache le Future d'initialisation (et non la Database résolue)
// pour éviter qu'un démarrage concurrent (les 4 onglets de l'IndexedStack
// interrogent la base en même temps) ne lance plusieurs _initDatabase() en
// parallèle. Sur une base fraîche, cela dédoublait onCreate et rendait la
// toute première écriture peu fiable.
static Future<Database>? _initFuture;
DatabaseHelper._internal();
@@ -25,9 +20,7 @@ class DatabaseHelper {
}
Future<Database> get database async {
if (_database != null) return _database!;
_initFuture ??= _initDatabase();
_database = await _initFuture!;
_database ??= await _initDatabase();
return _database!;
}
@@ -380,71 +373,17 @@ class DatabaseHelper {
limit: limit,
offset: offset,
);
if (sessionMaps.isEmpty) return [];
// 3 requêtes groupées au lieu d'une cascade par session puis par analyse
// (N+1) : l'ancien code refaisait un getSession complet pour chaque ligne,
// ce qui ralentissait l'accueil/historique/stats au fil des mois.
final sessionIds = sessionMaps.map((m) => m['id'] as String).toList();
final analysisMaps = await _queryIn(
db,
AppConstants.targetAnalysesTable,
'session_id',
sessionIds,
);
final analysisIds = analysisMaps.map((m) => m['id'] as String).toList();
final shotMaps = await _queryIn(
db,
AppConstants.shotsTable,
'analysis_id',
analysisIds,
);
final shotsByAnalysis = <String, List<Shot>>{};
for (final map in shotMaps) {
(shotsByAnalysis[map['analysis_id'] as String] ??= [])
.add(Shot.fromMap(map));
final sessions = <Session>[];
for (final sessionMap in sessionMaps) {
final sessionId = sessionMap['id'] as String;
final session = await getSession(sessionId);
if (session != null) {
sessions.add(session);
}
}
final analysesBySession = <String, List<TargetAnalysis>>{};
for (final map in analysisMaps) {
final analysis = TargetAnalysis.fromMap(
map,
shotsByAnalysis[map['id'] as String] ?? [],
);
(analysesBySession[map['session_id'] as String] ??= []).add(analysis);
}
return sessionMaps
.map((m) =>
Session.fromMap(m, analysesBySession[m['id'] as String] ?? []))
.toList();
}
/// SELECT * FROM [table] WHERE [column] IN (values), découpé par paquets
/// de 500 pour rester sous la limite de variables d'une requête SQLite (999).
Future<List<Map<String, Object?>>> _queryIn(
Database db,
String table,
String column,
List<String> values,
) async {
if (values.isEmpty) return [];
const chunkSize = 500;
final results = <Map<String, Object?>>[];
for (var i = 0; i < values.length; i += chunkSize) {
final chunk = values.sublist(
i,
i + chunkSize > values.length ? values.length : i + chunkSize,
);
final placeholders = List.filled(chunk.length, '?').join(',');
results.addAll(await db.query(
table,
where: '$column IN ($placeholders)',
whereArgs: chunk,
));
}
return results;
return sessions;
}
Future<int> deleteSession(String id) async {
@@ -571,16 +510,6 @@ class DatabaseHelper {
return Sqflite.firstIntValue(result) ?? 0;
}
Future<int> getSessionCountForWeapon(String weaponId) async {
final db = await database;
final result = await db.rawQuery('''
SELECT COUNT(id) as count
FROM ${AppConstants.sessionsTable}
WHERE weapon_id = ?
''', [weaponId]);
return Sqflite.firstIntValue(result) ?? 0;
}
Future<int> insertMaintenance(MaintenanceEntry entry) async {
final db = await database;
return await db.insert(
@@ -614,6 +543,5 @@ class DatabaseHelper {
final db = await database;
await db.close();
_database = null;
_initFuture = null;
}
}

View File

@@ -182,23 +182,18 @@ class SessionRepository {
return await _databaseHelper.getRoundsFiredForWeapon(weaponId);
}
Future<int> getSessionCountForWeapon(String weaponId) async {
return await _databaseHelper.getSessionCountForWeapon(weaponId);
}
Future<void> addMaintenanceEntry({
required String weaponId,
required MaintenanceType type,
required String description,
int? roundsSinceLast,
DateTime? date,
}) async {
final entry = MaintenanceEntry(
id: _uuid.v4(),
weaponId: weaponId,
type: type,
description: description,
date: date ?? DateTime.now(),
date: DateTime.now(),
roundsSinceLastMaintenance: roundsSinceLast,
);
await _databaseHelper.insertMaintenance(entry);

View File

@@ -1,8 +1,8 @@
/// Gestionnaire d'état pour l'analyse des cibles (ChangeNotifier).
///
/// Gère le workflow complet d'analyse : chargement d'image, gestion des
/// impacts placés manuellement, calcul des scores, analyse de groupement
/// et sauvegarde des sessions.
/// Gère le workflow complet d'analyse : chargement d'image, détection de cible,
/// gestion des impacts (manuels et automatiques), calcul des scores,
/// analyse de groupement et sauvegarde des sessions.
library;
import 'dart:io';
@@ -13,25 +13,37 @@ import '../../data/models/target_analysis.dart';
import '../../data/models/shot.dart';
import '../../data/models/target_type.dart';
import '../../data/repositories/session_repository.dart';
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 }
class AnalysisProvider extends ChangeNotifier {
final TargetDetectionService _detectionService;
final ScoreCalculatorService _scoreCalculatorService;
final GroupingAnalyzerService _groupingAnalyzerService;
final SessionRepository _sessionRepository;
final DistortionCorrectionService _distortionService;
final OpenCVTargetService _opencvTargetService;
final Uuid _uuid = const Uuid();
AnalysisProvider({
required TargetDetectionService detectionService,
required ScoreCalculatorService scoreCalculatorService,
required GroupingAnalyzerService groupingAnalyzerService,
required SessionRepository sessionRepository,
}) : _scoreCalculatorService = scoreCalculatorService,
DistortionCorrectionService? distortionService,
OpenCVTargetService? opencvTargetService,
}) : _detectionService = detectionService,
_scoreCalculatorService = scoreCalculatorService,
_groupingAnalyzerService = groupingAnalyzerService,
_sessionRepository = sessionRepository;
_sessionRepository = sessionRepository,
_distortionService = distortionService ?? DistortionCorrectionService(),
_opencvTargetService = opencvTargetService ?? OpenCVTargetService();
AnalysisState _state = AnalysisState.initial;
String? _errorMessage;
@@ -41,7 +53,7 @@ class AnalysisProvider extends ChangeNotifier {
// AJOUT PROTECTION DU PLOTTING : Stockage permanent de la rotation du Crop
double _cropRotation = 0.0;
// Target calibration
// Target detection results
double _targetCenterX = 0.5;
double _targetCenterY = 0.5;
double _targetRadius = 0.4;
@@ -59,6 +71,15 @@ class AnalysisProvider extends ChangeNotifier {
// Grouping results
GroupingResult? _groupingResult;
// Reference-based detection
List<Shot> _referenceImpacts = [];
ImpactCharacteristics? _learnedCharacteristics;
// Distortion correction
bool _distortionCorrectionEnabled = false;
DistortionParameters? _distortionParams;
String? _correctedImagePath;
// Getters
AnalysisState get state => _state;
String? get errorMessage => _errorMessage;
@@ -79,6 +100,21 @@ class AnalysisProvider extends ChangeNotifier {
int get totalScore => _scoreResult?.totalScore ?? 0;
int get shotCount => _shots.length;
List<Shot> get referenceImpacts => List.unmodifiable(_referenceImpacts);
ImpactCharacteristics? get learnedCharacteristics => _learnedCharacteristics;
bool get hasLearnedCharacteristics => _learnedCharacteristics != null;
// Distortion correction getters
bool get distortionCorrectionEnabled => _distortionCorrectionEnabled;
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
? _correctedImagePath
: _imagePath;
/// Modifie et mémorise la rotation de l'image pour le Plotting
void setCropRotation(double rotation) {
@@ -86,11 +122,14 @@ class AnalysisProvider extends ChangeNotifier {
notifyListeners();
}
/// Charge l'image et initialise les paramètres de cible par défaut.
/// Le placement des impacts et la calibration se font ensuite manuellement.
/// Analyze an image
///
/// [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,
Offset? manualCenter,
}) async {
_state = AnalysisState.loading;
@@ -108,13 +147,55 @@ class AnalysisProvider extends ChangeNotifier {
_imageAspectRatio = frame.image.width / frame.image.height;
frame.image.dispose();
if (!autoAnalyze) {
// Just setup default values without running detection
_targetCenterX = manualCenter?.dx ?? 0.5;
_targetCenterY = manualCenter?.dy ?? 0.5;
_targetRadius = 0.4;
_targetInnerRadius = 0.04;
// Initialize empty shots list
_shots = [];
_state = AnalysisState.success;
notifyListeners();
return;
}
final result = await _detectionService.detectTargetAsync(
imagePath,
targetType,
);
if (!result.success) {
_state = AnalysisState.error;
_errorMessage = result.errorMessage;
notifyListeners();
return;
}
_targetCenterX = result.centerX;
_targetCenterY = result.centerY;
_targetRadius = result.radius;
_targetInnerRadius = result.radius * 0.1;
// Create shots from detected impacts
_shots = result.impacts.map((impact) {
return Shot(
id: _uuid.v4(),
x: impact.x,
y: impact.y,
score: impact.suggestedScore,
analysisId: '',
);
}).toList();
// Calculate scores
_recalculateScores();
// Calculate grouping
_recalculateGrouping();
_state = AnalysisState.success;
notifyListeners();
} catch (e) {
@@ -135,18 +216,22 @@ class AnalysisProvider extends ChangeNotifier {
notifyListeners();
}
/// Efface tous les impacts en un clic (bouton ↻ de l'écran Plotting).
/// La calibration (centre, rayon, anneaux) n'est pas touchée.
void clearShots() {
_shots.clear();
/// Remove a shot
void removeShot(String shotId) {
_shots.removeWhere((shot) => shot.id == shotId);
_recalculateScores();
_recalculateGrouping();
notifyListeners();
}
/// Remove a shot
void removeShot(String shotId) {
_shots.removeWhere((shot) => shot.id == shotId);
/// Move a shot to a new position
void moveShot(String shotId, double newX, double newY) {
final index = _shots.indexWhere((shot) => shot.id == shotId);
if (index == -1) return;
final newScore = _calculateShotScore(newX, newY);
_shots[index] = _shots[index].copyWith(x: newX, y: newY, score: newScore);
_recalculateScores();
_recalculateGrouping();
notifyListeners();
@@ -162,6 +247,265 @@ class AnalysisProvider extends ChangeNotifier {
notifyListeners();
}
/// Auto-detect impacts using image processing
Future<int> autoDetectImpacts({
int darkThreshold = 80,
int minImpactSize = 20,
int maxImpactSize = 500,
double minCircularity = 0.6,
double minFillRatio = 0.5,
bool clearExisting = false,
}) async {
if (_imagePath == null || _targetType == null) return 0;
final settings = ImpactDetectionSettings(
darkThreshold: darkThreshold,
minImpactSize: minImpactSize,
maxImpactSize: maxImpactSize,
minCircularity: minCircularity,
minFillRatio: minFillRatio,
);
final detectedImpacts = _detectionService.detectImpactsOnly(
_imagePath!,
_targetType!,
_targetCenterX,
_targetCenterY,
_targetRadius,
_ringCount,
settings,
);
if (clearExisting) {
_shots.clear();
}
// Add detected impacts as shots
for (final impact in detectedImpacts) {
final score = _calculateShotScore(impact.x, impact.y);
final shot = Shot(
id: _uuid.v4(),
x: impact.x,
y: impact.y,
score: score,
analysisId: '',
);
_shots.add(shot);
}
_recalculateScores();
_recalculateGrouping();
notifyListeners();
return detectedImpacts.length;
}
/// Auto-detect impacts using OpenCV (Hough Circles + Contours)
Future<int> autoDetectImpactsWithOpenCV({
double cannyThreshold1 = 50,
double cannyThreshold2 = 150,
double minDist = 20,
double param1 = 100,
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,
double minContourArea = 50,
double maxContourArea = 5000,
bool clearExisting = false,
}) async {
if (_imagePath == null || _targetType == null) return 0;
final settings = OpenCVDetectionSettings(
cannyThreshold1: cannyThreshold1,
cannyThreshold2: cannyThreshold2,
minDist: minDist,
param1: param1,
param2: param2,
minRadius: minRadius,
maxRadius: maxRadius,
blurSize: blurSize,
useContourDetection: useContourDetection,
minCircularity: minCircularity,
minContourArea: minContourArea,
maxContourArea: maxContourArea,
);
final detectedImpacts = _detectionService.detectImpactsWithOpenCV(
_imagePath!,
_targetType!,
_targetCenterX,
_targetCenterY,
_targetRadius,
_ringCount,
settings: settings,
);
if (clearExisting) {
_shots.clear();
}
// Add detected impacts as shots
for (final impact in detectedImpacts) {
final score = _calculateShotScore(impact.x, impact.y);
final shot = Shot(
id: _uuid.v4(),
x: impact.x,
y: impact.y,
score: score,
analysisId: '',
);
_shots.add(shot);
}
_recalculateScores();
_recalculateGrouping();
notifyListeners();
return detectedImpacts.length;
}
/// Detect impacts with OpenCV using reference points
Future<int> detectFromReferencesWithOpenCV({
double tolerance = 2.0,
bool clearExisting = false,
}) async {
if (_imagePath == null ||
_targetType == null ||
_referenceImpacts.length < 2) {
return 0;
}
// Convertir les références
final references = _referenceImpacts
.map((shot) => ReferenceImpact(x: shot.x, y: shot.y))
.toList();
final detectedImpacts = _detectionService
.detectImpactsWithOpenCVFromReferences(
_imagePath!,
_targetType!,
_targetCenterX,
_targetCenterY,
_targetRadius,
_ringCount,
references,
tolerance: tolerance,
);
if (clearExisting) {
_shots.clear();
}
// Add detected impacts as shots
for (final impact in detectedImpacts) {
final score = _calculateShotScore(impact.x, impact.y);
final shot = Shot(
id: _uuid.v4(),
x: impact.x,
y: impact.y,
score: score,
analysisId: '',
);
_shots.add(shot);
}
_recalculateScores();
_recalculateGrouping();
notifyListeners();
return detectedImpacts.length;
}
/// Add a reference impact for calibrated detection
void addReferenceImpact(double x, double y) {
final score = _calculateShotScore(x, y);
final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, analysisId: '');
_referenceImpacts.add(shot);
notifyListeners();
}
/// Remove a reference impact
void removeReferenceImpact(String shotId) {
_referenceImpacts.removeWhere((shot) => shot.id == shotId);
_learnedCharacteristics = null;
notifyListeners();
}
/// Clear all reference impacts
void clearReferenceImpacts() {
_referenceImpacts.clear();
_learnedCharacteristics = null;
notifyListeners();
}
/// Learn characteristics from reference impacts
bool learnFromReferences() {
if (_imagePath == null || _referenceImpacts.length < 2) return false;
final references = _referenceImpacts
.map((shot) => ReferenceImpact(x: shot.x, y: shot.y))
.toList();
_learnedCharacteristics = _detectionService.analyzeReferenceImpacts(
_imagePath!,
references,
);
notifyListeners();
return _learnedCharacteristics != null;
}
/// Auto-detect impacts using learned reference characteristics
Future<int> detectFromReferences({
double tolerance = 2.0,
bool clearExisting = false,
}) async {
if (_imagePath == null ||
_targetType == null ||
_learnedCharacteristics == null) {
return 0;
}
final detectedImpacts = _detectionService.detectImpactsFromReferences(
_imagePath!,
_targetType!,
_targetCenterX,
_targetCenterY,
_targetRadius,
_ringCount,
_learnedCharacteristics!,
tolerance: tolerance,
);
if (clearExisting) {
_shots.clear();
}
// Add detected impacts as shots
for (final impact in detectedImpacts) {
final score = _calculateShotScore(impact.x, impact.y);
final shot = Shot(
id: _uuid.v4(),
x: impact.x,
y: impact.y,
score: score,
analysisId: '',
);
_shots.add(shot);
}
_recalculateScores();
_recalculateGrouping();
notifyListeners();
return detectedImpacts.length;
}
/// Adjust target position
void adjustTargetPosition(
double centerX,
@@ -195,6 +539,118 @@ 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;
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) {
debugPrint('Auto-calibration error: $e');
return false;
}
}
/// Calcule les paramètres de distorsion basés sur la calibration actuelle
void calculateDistortion() {
_distortionParams = _distortionService.calculateDistortionFromCalibration(
targetCenterX: _targetCenterX,
targetCenterY: _targetCenterY,
targetRadius: _targetRadius,
imageAspectRatio: _imageAspectRatio,
);
notifyListeners();
}
/// Applique la correction de distorsion à l'image
/// Crée une nouvelle image corrigée et la sauvegarde
Future<void> applyDistortionCorrection() async {
if (_imagePath == null || _distortionParams == null) return;
try {
_correctedImagePath = await _distortionService.applyCorrection(
_imagePath!,
_distortionParams!,
);
_distortionCorrectionEnabled = true;
notifyListeners();
} catch (e) {
_errorMessage = 'Erreur lors de la correction: $e';
notifyListeners();
}
}
/// Active ou désactive l'affichage de l'image corrigée
void setDistortionCorrectionEnabled(bool enabled) {
if (enabled && _correctedImagePath == null && _distortionParams != null) {
// Si on active mais pas encore d'image corrigée, la créer
applyDistortionCorrection();
} else {
_distortionCorrectionEnabled = enabled;
notifyListeners();
}
}
/// Calcule ET applique la correction pour un feedback immédiat
Future<void> calculateAndApplyDistortion() async {
// 1. Calcul des paramètres (votre code actuel)
_distortionParams = _distortionService.calculateDistortionFromCalibration(
targetCenterX: _targetCenterX,
targetCenterY: _targetCenterY,
targetRadius: _targetRadius,
imageAspectRatio: _imageAspectRatio,
);
// 2. Vérification si une correction est réellement nécessaire
if (_distortionParams != null && _distortionParams!.needsCorrection) {
// 3. Application immédiate de la transformation (méthode asynchrone)
await applyDistortionCorrection();
} else {
notifyListeners();
}
}
Future<void> runFullDistortionWorkflow() async {
_state = AnalysisState.loading;
notifyListeners();
try {
calculateDistortion();
await applyDistortionCorrection();
_distortionCorrectionEnabled = true;
_state = AnalysisState.success;
} catch (e) {
_errorMessage = "Erreur de rendu : $e";
_state = AnalysisState.error;
} finally {
notifyListeners();
}
}
int _calculateShotScore(double x, double y) {
if (_targetType == TargetType.concentric) {
return _scoreCalculatorService.calculateConcentricScore(
@@ -238,14 +694,8 @@ class AnalysisProvider extends ChangeNotifier {
_groupingResult = _groupingAnalyzerService.analyzeGrouping(_shots);
}
/// Exporte l'image et le json vers le backend IA.
/// [sessionId], [distance] et [weapon] proviennent du SessionProvider de
/// l'écran appelant, pour que le dataset contienne les vraies métadonnées.
Future<bool> exportToAiBackend({
String? sessionId,
int? distance,
String? weapon,
}) async {
/// Exporte l'image et le json vers le backend IA
Future<bool> exportToAiBackend() async {
if (_imagePath == null || _targetType == null) {
_errorMessage = "Impossible d'export : image ou type de cible manquant.";
notifyListeners();
@@ -259,14 +709,12 @@ class AnalysisProvider extends ChangeNotifier {
final success = await service.exportData(
imagePath: _imagePath!,
sessionId: sessionId ?? 'export',
sessionId: 'export',
targetType: _targetType!,
targetCenterX: _targetCenterX,
targetCenterY: _targetCenterY,
targetRadius: _targetRadius,
shots: _shots,
distanceMeters: distance ?? 25,
weaponName: weapon ?? 'Unknown',
);
_state = AnalysisState.success;
@@ -359,6 +807,11 @@ class AnalysisProvider extends ChangeNotifier {
_shots = [];
_scoreResult = null;
_groupingResult = null;
_referenceImpacts = [];
_learnedCharacteristics = null;
_distortionCorrectionEnabled = false;
_distortionParams = null;
_correctedImagePath = null;
notifyListeners();
}

View File

@@ -12,10 +12,11 @@ import 'package:provider/provider.dart';
import '../../core/constants/app_constants.dart';
import '../../core/theme/app_theme.dart';
import '../../data/models/target_type.dart';
import '../../data/models/shot.dart';
import '../../data/repositories/session_repository.dart';
import '../../services/target_detection_service.dart';
import '../../services/score_calculator_service.dart';
import '../../services/grouping_analyzer_service.dart';
import '../../services/wallet_identity_service.dart';
import '../session/session_provider.dart';
import 'analysis_provider.dart';
import 'impact_editor_screen.dart';
@@ -25,7 +26,6 @@ import 'widgets/target_overlay.dart';
import 'widgets/target_calibration.dart';
import 'widgets/score_card.dart';
import 'widgets/grouping_stats.dart';
import 'widgets/shot_details_sheet.dart';
class AnalysisScreen extends StatelessWidget {
final String imagePath;
@@ -60,6 +60,7 @@ class AnalysisScreen extends StatelessWidget {
return ChangeNotifierProvider(
create: (context) {
final p = AnalysisProvider(
detectionService: context.read<TargetDetectionService>(),
scoreCalculatorService: context.read<ScoreCalculatorService>(),
groupingAnalyzerService: context.read<GroupingAnalyzerService>(),
sessionRepository: context.read<SessionRepository>(),
@@ -71,6 +72,7 @@ class AnalysisScreen extends StatelessWidget {
p.analyzeImage(
imagePath,
targetType,
autoAnalyze: false,
manualCenter: manualCenterOffset,
);
return p;
@@ -108,6 +110,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
// Forcé à TRUE pour démarrer sur l'ajustement des cercles
bool _isCalibrating = true;
bool _isSelectingReferences = false;
bool _isAtBottom = false;
final ScrollController _scrollController = ScrollController();
@@ -115,6 +118,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
TransformationController();
final GlobalKey _imageKey = GlobalKey();
double _currentZoomScale = 1.0;
String? _movingShotId;
@override
void initState() {
@@ -188,6 +192,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
if (validated == true) {
setState(() {
_isCalibrating = false;
_isSelectingReferences = false;
});
} else {
_enterCalibration();
@@ -245,66 +250,13 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
},
),
actions: [
// Remise à zéro des impacts : efface tous les impacts en un clic,
// sans modifier la calibration (centre, rayon, anneaux).
if (!_isCalibrating)
if (!_isCalibrating && !_isSelectingReferences)
IconButton(
icon: const Icon(Icons.refresh),
tooltip: 'Effacer tous les impacts',
onPressed: () => provider.clearShots(),
onPressed: () => provider.analyzeImage(
context.read<AnalysisProvider>().imagePath!,
context.read<AnalysisProvider>().targetType!,
),
// Nuage d'export vers le backend IA : visible uniquement si l'analyse
// a réussi ET que l'utilisateur a activé l'option dans les Paramètres.
if (!_isCalibrating)
FutureBuilder<bool>(
future: WalletIdentityService().isUploadEnabled(),
builder: (context, snapshot) {
final isEnabled = snapshot.data ?? false;
if (!isEnabled ||
provider.state != AnalysisState.success) {
return const SizedBox.shrink();
}
return IconButton(
icon: const Icon(Icons.cloud_upload),
tooltip: 'Exporter pour IA',
onPressed: () async {
final p = context.read<AnalysisProvider>();
if (p.state != AnalysisState.success) return;
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(content: Text('Exportation en cours...')),
);
// Métadonnées réelles de la session en cours (distance,
// arme) plutôt que les placeholders par défaut.
final sp = context.read<SessionProvider>();
final success = await p.exportToAiBackend(
sessionId: sp.activeSessionId,
distance: sp.distance,
weapon: sp.currentWeapon,
);
if (!context.mounted) return;
ScaffoldMessenger.of(context).hideCurrentSnackBar();
if (success) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(
content: Text('Export réussi vers le backend IA !'),
backgroundColor: AppTheme.successColor,
),
);
} else {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content:
Text(p.errorMessage ?? 'Erreur d\'export'),
backgroundColor: AppTheme.errorColor,
),
);
}
},
);
},
),
if (_isCalibrating)
TextButton(
@@ -317,7 +269,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
_openImpactEditor(context.read<AnalysisProvider>());
},
child: const Text(
'VALIDER',
'TERMINER',
style: TextStyle(
color: Colors.white,
fontWeight: FontWeight.bold,
@@ -364,6 +316,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
widget.cropOffset?.dy ?? 0.0,
0.0,
)
..scale(1.0, 1.0)
..rotateZ(
(provider.cropRotation) *
(math.pi / 180),
@@ -471,6 +424,8 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
targetCenterX: provider.targetCenterX,
targetCenterY: provider.targetCenterY,
),
const SizedBox(height: 12),
_buildActionButtons(context, provider),
const SizedBox(height: 50),
],
),
@@ -638,7 +593,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
zoomScale: _currentZoomScale,
// Lecture seule : tap sur impact -> détails (consultation).
onShotTapped: (shot) =>
showShotDetailsSheet(context, provider, shot),
_showShotDetails(context, provider, shot),
),
),
],
@@ -646,6 +601,84 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
);
}
Widget _buildActionButtons(BuildContext context, AnalysisProvider provider) {
return const Column(children: [Row(children: [])]);
}
void _showShotDetails(
BuildContext context,
AnalysisProvider provider,
Shot shot,
) {
showModalBottomSheet(
context: context,
builder: (context) => Container(
padding: const EdgeInsets.all(24),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
Text(
'Impact #${provider.shots.indexOf(shot) + 1}',
style: const TextStyle(fontWeight: FontWeight.bold, fontSize: 18),
),
Text(
'ID: ${shot.id}',
style: Theme.of(
context,
).textTheme.bodySmall?.copyWith(color: Colors.grey, fontSize: 10),
),
const SizedBox(height: 16),
ListTile(
leading: const Icon(Icons.score),
title: const Text('Modifier le score'),
trailing: DropdownButton<int>(
value: shot.score.clamp(0, 10),
items: List.generate(11, (index) => index)
.map(
(s) => DropdownMenuItem(
value: s,
child: Text(
'$s',
style: const TextStyle(
fontWeight: FontWeight.bold,
fontSize: 18,
),
),
),
)
.toList(),
onChanged: (newScore) {
if (newScore != null) {
provider.updateShotScore(shot.id, newScore);
Navigator.pop(context);
}
},
),
),
const SizedBox(height: 24),
Row(
children: [
Expanded(
child: OutlinedButton.icon(
onPressed: () {
provider.removeShot(shot.id);
Navigator.pop(context);
},
icon: const Icon(Icons.delete, color: Colors.red),
label: const Text(
'SUPPRIMER',
style: TextStyle(color: Colors.red),
),
),
),
],
),
],
),
),
);
}
void _showSaveSessionDialog(BuildContext context, AnalysisProvider provider) {
showDialog(
context: context,

View File

@@ -20,10 +20,10 @@ import 'dart:math' as math;
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import '../../core/theme/app_theme.dart';
import '../../data/models/shot.dart';
import 'analysis_provider.dart';
import 'widgets/target_overlay.dart';
import 'widgets/shot_details_sheet.dart';
class ImpactEditorScreen extends StatefulWidget {
const ImpactEditorScreen({super.key});
@@ -145,7 +145,7 @@ class _ImpactEditorScreenState extends State<ImpactEditorScreen> {
final hit = _hitTestShot(provider, rel);
if (hit != null) {
showShotDetailsSheet(context, provider, hit);
_showShotDetails(context, provider, hit);
} else {
provider.addShot(rel.dx, rel.dy);
}
@@ -193,7 +193,7 @@ class _ImpactEditorScreenState extends State<ImpactEditorScreen> {
// L'ajout et la sélection sont gérés par le
// GestureDetector parent ci-dessus.
onShotTapped: (shot) =>
showShotDetailsSheet(context, provider, shot),
_showShotDetails(context, provider, shot),
),
),
],
@@ -206,4 +206,79 @@ class _ImpactEditorScreenState extends State<ImpactEditorScreen> {
),
);
}
void _showShotDetails(
BuildContext context,
AnalysisProvider provider,
Shot shot,
) {
showModalBottomSheet(
context: context,
builder: (context) => Container(
padding: const EdgeInsets.all(24),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
Text(
'Impact #${provider.shots.indexOf(shot) + 1}',
style: const TextStyle(fontWeight: FontWeight.bold, fontSize: 18),
),
Text(
'ID: ${shot.id}',
style: Theme.of(context)
.textTheme
.bodySmall
?.copyWith(color: Colors.grey, fontSize: 10),
),
const SizedBox(height: 16),
ListTile(
leading: const Icon(Icons.score),
title: const Text('Modifier le score'),
trailing: DropdownButton<int>(
value: shot.score.clamp(0, 10),
items: List.generate(11, (index) => index)
.map(
(s) => DropdownMenuItem(
value: s,
child: Text(
'$s',
style: const TextStyle(
fontWeight: FontWeight.bold,
fontSize: 18,
),
),
),
)
.toList(),
onChanged: (newScore) {
if (newScore != null) {
provider.updateShotScore(shot.id, newScore);
Navigator.pop(context);
}
},
),
),
const SizedBox(height: 24),
Row(
children: [
Expanded(
child: OutlinedButton.icon(
onPressed: () {
provider.removeShot(shot.id);
Navigator.pop(context);
},
icon: const Icon(Icons.delete, color: Colors.red),
label: const Text(
'SUPPRIMER',
style: TextStyle(color: Colors.red),
),
),
),
],
),
],
),
),
);
}
}

View File

@@ -7,7 +7,6 @@ library;
import 'package:flutter/material.dart';
import '../../../core/constants/app_constants.dart';
import '../../../core/theme/app_theme.dart';
import '../../../core/widgets/metric_info_button.dart';
import '../../../services/grouping_analyzer_service.dart';
class GroupingStats extends StatelessWidget {
@@ -44,65 +43,32 @@ class GroupingStats extends StatelessWidget {
fontWeight: FontWeight.bold,
),
),
const MetricInfoButton(
title: 'Groupement',
explanations: [
MetricExplanation(
'Étalement',
'Distance entre vos deux impacts les plus éloignés, '
'exprimée en % de la largeur de l\'image. Plus c\'est '
'bas, plus le groupement est serré.',
),
MetricExplanation(
'Dispersion',
'Régularité des impacts autour de leur centre commun '
'(écart-type). Plus c\'est bas, plus vos tirs sont '
'réguliers.',
),
MetricExplanation(
'Décalage',
'Direction du centre de votre groupement par rapport au '
'centre de la cible (ex. « Droite » = vos tirs sont '
'globalement décalés vers la droite).',
),
MetricExplanation(
'Étoiles',
'Qualité globale du groupement, de ★ (à améliorer) à '
'★★★★★ (excellent).',
),
],
),
const Spacer(),
_buildQualityBadge(context),
],
),
const Divider(),
Row(
mainAxisAlignment: MainAxisAlignment.spaceAround,
children: [
Expanded(
child: _buildStat(
_buildStat(
context,
'Étalement',
'Diametre',
'${(groupingResult.diameter * 100).toStringAsFixed(1)}%',
icon: Icons.straighten,
),
),
Expanded(
child: _buildStat(
_buildStat(
context,
'Dispersion',
'${(groupingResult.standardDeviation * 100).toStringAsFixed(1)}%',
icon: Icons.scatter_plot,
),
),
Expanded(
child: _buildStat(
_buildStat(
context,
'Décalage',
'Decalage',
offsetDescription,
icon: Icons.compare_arrows,
),
),
],
),
const SizedBox(height: 12),
@@ -159,14 +125,12 @@ class GroupingStats extends StatelessWidget {
const SizedBox(height: 4),
Text(
value,
textAlign: TextAlign.center,
style: Theme.of(context).textTheme.titleMedium?.copyWith(
fontWeight: FontWeight.bold,
),
),
Text(
label,
textAlign: TextAlign.center,
style: Theme.of(context).textTheme.bodySmall,
),
],
@@ -288,22 +252,22 @@ class GroupingStats extends StatelessWidget {
String _getOffsetDescription(double offsetX, double offsetY) {
if (offsetX.abs() < 0.02 && offsetY.abs() < 0.02) {
return 'Centré';
return 'Centre';
}
String vertical = '';
String horizontal = '';
if (offsetY < -0.02) {
vertical = 'Haut';
vertical = 'H';
} else if (offsetY > 0.02) {
vertical = 'Bas';
vertical = 'B';
}
if (offsetX < -0.02) {
horizontal = 'Gauche';
horizontal = 'G';
} else if (offsetX > 0.02) {
horizontal = 'Droite';
horizontal = 'D';
}
if (vertical.isNotEmpty && horizontal.isNotEmpty) {

View File

@@ -7,7 +7,6 @@ library;
import 'package:flutter/material.dart';
import '../../../core/constants/app_constants.dart';
import '../../../core/theme/app_theme.dart';
import '../../../core/widgets/metric_info_button.dart';
import '../../../data/models/target_type.dart';
import '../../../services/score_calculator_service.dart';
@@ -45,31 +44,6 @@ class ScoreCard extends StatelessWidget {
fontWeight: FontWeight.bold,
),
),
const Spacer(),
MetricInfoButton(
title: 'Score',
explanations: [
MetricExplanation(
'Total',
'Somme des points de tous vos impacts, sur le maximum '
'possible (nombre d\'impacts × $maxScore points).',
),
const MetricExplanation(
'Impacts',
'Nombre de tirs détectés sur la cible.',
),
MetricExplanation(
'Moyenne',
'Points marqués en moyenne par impact, sur $maxScore.',
),
const MetricExplanation(
'Réussite',
'Votre score exprimé en pourcentage du score maximum '
'possible. C\'est une mesure du résultat, pas de la '
'régularité des tirs.',
),
],
),
],
),
const Divider(),
@@ -93,12 +67,11 @@ class ScoreCard extends StatelessWidget {
shotCount > 0
? (totalScore / shotCount).toStringAsFixed(1)
: '-',
subtitle: '/ $maxScore',
),
if (scoreResult != null)
_buildScoreStat(
context,
'Réussite',
'Pourcentage',
'${scoreResult!.percentage.toStringAsFixed(0)}%',
),
],

View File

@@ -1,85 +0,0 @@
/// Bottom sheet de détails d'un impact : modification du score et suppression.
///
/// Partagée entre l'écran d'analyse (consultation du plotting) et l'éditeur
/// d'impacts plein écran, qui opèrent sur le même AnalysisProvider.
library;
import 'package:flutter/material.dart';
import '../../../data/models/shot.dart';
import '../analysis_provider.dart';
void showShotDetailsSheet(
BuildContext context,
AnalysisProvider provider,
Shot shot,
) {
showModalBottomSheet(
context: context,
builder: (context) => Container(
padding: const EdgeInsets.all(24),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
Text(
'Impact #${provider.shots.indexOf(shot) + 1}',
style: const TextStyle(fontWeight: FontWeight.bold, fontSize: 18),
),
Text(
'ID: ${shot.id}',
style: Theme.of(context)
.textTheme
.bodySmall
?.copyWith(color: Colors.grey, fontSize: 10),
),
const SizedBox(height: 16),
ListTile(
leading: const Icon(Icons.score),
title: const Text('Modifier le score'),
trailing: DropdownButton<int>(
value: shot.score.clamp(0, 10),
items: List.generate(11, (index) => index)
.map(
(s) => DropdownMenuItem(
value: s,
child: Text(
'$s',
style: const TextStyle(
fontWeight: FontWeight.bold,
fontSize: 18,
),
),
),
)
.toList(),
onChanged: (newScore) {
if (newScore != null) {
provider.updateShotScore(shot.id, newScore);
Navigator.pop(context);
}
},
),
),
const SizedBox(height: 24),
Row(
children: [
Expanded(
child: OutlinedButton.icon(
onPressed: () {
provider.removeShot(shot.id);
Navigator.pop(context);
},
icon: const Icon(Icons.delete, color: Colors.red),
label: const Text(
'SUPPRIMER',
style: TextStyle(color: Colors.red),
),
),
),
],
),
],
),
),
);
}

View File

@@ -4,7 +4,7 @@
/// Les anneaux sont répartis proportionnellement.
library;
import 'package:flutter/foundation.dart';
import 'dart:math' as math;
import 'package:flutter/material.dart';
import '../../../core/theme/app_theme.dart';
import '../../../data/models/target_type.dart';
@@ -131,14 +131,7 @@ class TargetCalibrationState extends State<TargetCalibration> {
_currentEspacementRatio = (_radius > 0) ? (_innerRadius / _radius).clamp(0.01, 0.70) : 0.1;
shouldReinit = true;
}
// On ne rafraîchit le profil d'usine que si les rayons entrants proviennent
// réellement d'une nouvelle détection (ils diffèrent de notre état courant).
// Sinon il s'agit de l'écho de notre propre _notifyChange (aller-retour via
// le provider) : le clobber effacerait le profil d'origine et casserait le
// bouton de réinitialisation de l'espacement.
if (widget.initialRingRadii != oldWidget.initialRingRadii &&
widget.initialRingRadii != null &&
!listEquals(widget.initialRingRadii, _ringRadii)) {
if (widget.initialRingRadii != oldWidget.initialRingRadii && widget.initialRingRadii != null) {
_originalRingRadii = List.from(widget.initialRingRadii!);
shouldReinit = true;
}
@@ -345,12 +338,7 @@ class TargetCalibrationState extends State<TargetCalibration> {
borderRadius: BorderRadius.circular(12),
border: Border.all(color: Colors.white10),
),
child: Row(
mainAxisSize: MainAxisSize.min,
children: [
_buildSignLabel(''),
const SizedBox(width: 12),
Column(
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
_buildDirectionButton(Icons.keyboard_arrow_up, () => _moveCenterByPixels(0, -1, size)),
@@ -365,18 +353,6 @@ class TargetCalibrationState extends State<TargetCalibration> {
_buildDirectionButton(Icons.keyboard_arrow_down, () => _moveCenterByPixels(0, 1, size)),
],
),
const SizedBox(width: 12),
_buildSignLabel('+'),
],
),
);
}
// Symbole purement décoratif affiché de part et d'autre de la croix.
Widget _buildSignLabel(String text) {
return Text(
text,
style: const TextStyle(color: Colors.white54, fontSize: 28, fontWeight: FontWeight.bold),
);
}

View File

@@ -1,9 +1,9 @@
/// Overlay visuel de la cible.
///
/// Dessine les anneaux de la cible, les impacts et le cercle de groupement.
/// Gère uniquement la SÉLECTION d'impacts existants (tap sur un impact).
/// L'AJOUT d'un impact est délégué à l'écran parent pour éviter tout conflit
/// de gestes avec le zoom/pan de l'InteractiveViewer.
/// Dessine les anneaux de la cible, les impacts détectés, le cercle de groupement
/// et les impacts de référence. Gère uniquement la SÉLECTION d'impacts existants
/// (tap sur un impact). L'AJOUT d'un impact est délégué à l'écran parent pour
/// éviter tout conflit de gestes avec le zoom/pan de l'InteractiveViewer.
library;
import 'package:flutter/material.dart';
@@ -20,9 +20,11 @@ class TargetOverlay extends StatelessWidget {
final int ringCount;
final List<double>? ringRadii;
final void Function(Shot shot)? onShotTapped;
final void Function(double x, double y)? onAddShot;
final double? groupingCenterX;
final double? groupingCenterY;
final double? groupingDiameter;
final List<Shot>? referenceImpacts;
final double zoomScale;
final bool showRings;
@@ -36,9 +38,11 @@ class TargetOverlay extends StatelessWidget {
this.ringCount = 10,
this.ringRadii,
this.onShotTapped,
this.onAddShot,
this.groupingCenterX,
this.groupingCenterY,
this.groupingDiameter,
this.referenceImpacts,
this.zoomScale = 1.0,
this.showRings = false,
});
@@ -68,6 +72,7 @@ class TargetOverlay extends StatelessWidget {
groupingCenterX: groupingCenterX,
groupingCenterY: groupingCenterY,
groupingDiameter: groupingDiameter,
referenceImpacts: referenceImpacts,
zoomScale: zoomScale,
showRings: showRings,
),
@@ -122,6 +127,7 @@ class _TargetOverlayPainter extends CustomPainter {
final double? groupingCenterX;
final double? groupingCenterY;
final double? groupingDiameter;
final List<Shot>? referenceImpacts;
final double zoomScale;
final bool showRings;
@@ -136,6 +142,7 @@ class _TargetOverlayPainter extends CustomPainter {
this.groupingCenterX,
this.groupingCenterY,
this.groupingDiameter,
this.referenceImpacts,
this.zoomScale = 1.0,
this.showRings = false,
});
@@ -156,6 +163,13 @@ class _TargetOverlayPainter extends CustomPainter {
for (final shot in shots) {
_drawImpact(canvas, size, shot);
}
// Draw reference impacts (with different color)
if (referenceImpacts != null) {
for (final ref in referenceImpacts!) {
_drawReferenceImpact(canvas, size, ref);
}
}
}
void _drawTargetCenter(Canvas canvas, Size size) {
@@ -305,6 +319,48 @@ class _TargetOverlayPainter extends CustomPainter {
);
}
void _drawReferenceImpact(Canvas canvas, Size size, Shot ref) {
final x = ref.x * size.width;
final y = ref.y * size.height;
// Tailles fixes divisées par le zoom pour rester constantes à l'écran
final outerRadius = 12 / zoomScale;
final innerRadius = 10 / zoomScale;
final strokeWidth = 3 / zoomScale;
final fontSize = 12 / zoomScale;
// Draw outer circle (white outline for visibility)
final outlinePaint = Paint()
..color = Colors.white
..style = PaintingStyle.stroke
..strokeWidth = strokeWidth;
canvas.drawCircle(Offset(x, y), outerRadius, outlinePaint);
// Draw reference marker (purple)
final refPaint = Paint()
..color = Colors.deepPurple
..style = PaintingStyle.fill;
canvas.drawCircle(Offset(x, y), innerRadius, refPaint);
// Draw "R" to indicate reference
final textPainter = TextPainter(
text: TextSpan(
text: 'R',
style: TextStyle(
color: Colors.white,
fontSize: fontSize,
fontWeight: FontWeight.bold,
),
),
textDirection: TextDirection.ltr,
);
textPainter.layout();
textPainter.paint(
canvas,
Offset(x - textPainter.width / 2, y - textPainter.height / 2),
);
}
@override
bool shouldRepaint(covariant _TargetOverlayPainter oldDelegate) {
return shots != oldDelegate.shots ||
@@ -316,6 +372,7 @@ class _TargetOverlayPainter extends CustomPainter {
groupingCenterX != oldDelegate.groupingCenterX ||
groupingCenterY != oldDelegate.groupingCenterY ||
groupingDiameter != oldDelegate.groupingDiameter ||
referenceImpacts != oldDelegate.referenceImpacts ||
zoomScale != oldDelegate.zoomScale ||
showRings != oldDelegate.showRings;
}

File diff suppressed because it is too large Load Diff

View File

@@ -101,44 +101,10 @@ class _CropScreenState extends State<CropScreen> {
? const Center(child: CircularProgressIndicator(color: Color(0xFF1A73E8)))
: Column(
children: [
// TEXTE D'AIDE — placé en haut, sous le titre, au-dessus de l'image.
Padding(
padding: const EdgeInsets.fromLTRB(20, 12, 20, 4),
child: Column(
children: [
Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
const Icon(Icons.center_focus_strong, color: Color(0xFF00FF00), size: 20),
const SizedBox(width: 8),
Flexible(
child: Text(
'Alignez et pivotez la cible sur la croix',
style: TextStyle(color: Colors.white.withValues(alpha: 0.8), fontSize: 14, fontWeight: FontWeight.w500),
),
),
],
),
const SizedBox(height: 4),
Text(
'Glissez à un doigt pour déplacer, pincez pour zoomer',
style: TextStyle(color: Colors.white.withValues(alpha: 0.5), fontSize: 12),
),
],
),
),
// Zone interactive de crop, CARRÉE. La photo la remplit entièrement
// (BoxFit.cover) → aucun bord noir dans la zone. Le débord hors cadre
// est récupérable en déplaçant/zoomant. La sortie d'analyse reste
// carrée, donc la cible n'est pas déformée.
// Zone interactive de crop
Expanded(
child: Padding(
padding: const EdgeInsets.all(20),
child: Center(
child: AspectRatio(
aspectRatio: 1.0,
child: Container(
margin: const EdgeInsets.all(20),
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(12),
border: Border.all(color: Colors.white10),
@@ -149,14 +115,31 @@ class _CropScreenState extends State<CropScreen> {
),
),
),
),
),
),
const SizedBox(height: 8),
// CROIX DIRECTIONNELLE — déplace la photo pixel par pixel.
_buildDirectionalPad(),
// TEXTE D'AIDE AJUSTÉ
Padding(
padding: const EdgeInsets.symmetric(horizontal: 20),
child: Column(
children: [
Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
const Icon(Icons.center_focus_strong, color: Color(0xFF00FF00), size: 20),
const SizedBox(width: 8),
Text(
'Alignez et pivotez la cible sur la croix',
style: TextStyle(color: Colors.white.withOpacity(0.8), fontSize: 14, fontWeight: FontWeight.w500),
),
],
),
const SizedBox(height: 4),
Text(
'Glissez à un doigt pour déplacer, pincez pour zoomer',
style: TextStyle(color: Colors.white.withOpacity(0.5), fontSize: 12),
),
],
),
),
const SizedBox(height: 16),
@@ -255,9 +238,21 @@ class _CropScreenState extends State<CropScreen> {
builder: (context, constraints) {
_viewportSize = Size(constraints.maxWidth, constraints.maxHeight);
// La photo remplit toute la zone carrée (BoxFit.cover). La fenêtre de
// visée = toute la zone visible → aucun bord noir autour du cadre.
_cropSize = math.min(_viewportSize.width, _viewportSize.height);
// FIX : On calcule d'abord la taille de la photo affichée avant de définir la taille du cadre vert !
final imageAspect = _imageSize != null ? _imageSize!.width / _imageSize!.height : 1.0;
final viewportAspect = _viewportSize.width / _viewportSize.height;
double displayWidth, displayHeight;
if (imageAspect > viewportAspect) {
displayWidth = _viewportSize.width;
displayHeight = _viewportSize.width / imageAspect;
} else {
displayHeight = _viewportSize.height;
displayWidth = _viewportSize.height * imageAspect;
}
// On passe de 0.95 à 0.85 pour matcher parfaitement avec l'appareil photo !
_cropSize = math.min(displayWidth, displayHeight)* 0.85;
if (_scale == 1.0 && _offset == Offset.zero && _rotation == 0.0) {
_initializeImagePosition();
@@ -274,12 +269,12 @@ class _CropScreenState extends State<CropScreen> {
child: Transform(
transform: Matrix4.identity()
..setTranslationRaw(_offset.dx, _offset.dy, 0)
..scaleByDouble(_scale, _scale, _scale, 1.0)
..scale(_scale, _scale)
..rotateZ(_rotation * (math.pi / 180)),
alignment: Alignment.center,
child: Image.file(
File(widget.imagePath),
fit: BoxFit.cover,
fit: BoxFit.contain,
width: _viewportSize.width,
height: _viewportSize.height,
),
@@ -296,14 +291,14 @@ class _CropScreenState extends State<CropScreen> {
child: Container(
width: double.infinity,
height: 1.5,
color: const Color(0xFF00FF00).withValues(alpha: 0.6),
color: const Color(0xFF00FF00).withOpacity(0.6),
),
),
Center(
child: Container(
width: 1.5,
height: double.infinity,
color: const Color(0xFF00FF00).withValues(alpha: 0.6),
color: const Color(0xFF00FF00).withOpacity(0.6),
),
),
],
@@ -350,6 +345,21 @@ class _CropScreenState extends State<CropScreen> {
void _initializeImagePosition() {
if (_imageSize == null) return;
final imageAspect = _imageSize!.width / _imageSize!.height;
final viewportAspect = _viewportSize.width / _viewportSize.height;
// 1. Calcul strict de la taille de l'image affichée en BoxFit.contain
double displayWidth, displayHeight;
if (imageAspect > viewportAspect) {
displayWidth = _viewportSize.width;
displayHeight = _viewportSize.width / imageAspect;
} else {
displayHeight = _viewportSize.height;
displayWidth = _viewportSize.height * imageAspect;
}
final minDisplayDim = math.min(displayWidth, displayHeight);
// 2. Calcul du scale initial basé sur la dimension de l'image (et non du viewport)
_scale = widget.initialScale ?? 1.0;
if (_scale < 1.0 && widget.initialScale == null) _scale = 1.0;
@@ -362,61 +372,6 @@ class _CropScreenState extends State<CropScreen> {
}
}
// Croix directionnelle compacte pour déplacer la photo pixel par pixel.
// Les symboles « » et « + » de part et d'autre sont purement décoratifs.
Widget _buildDirectionalPad() {
return Row(
mainAxisAlignment: MainAxisAlignment.center,
children: [
_buildCropSignLabel(''),
const SizedBox(width: 10),
Column(
mainAxisSize: MainAxisSize.min,
children: [
_buildCropDirButton(Icons.keyboard_arrow_up, () => _nudge(0, -1)),
Row(
mainAxisSize: MainAxisSize.min,
children: [
_buildCropDirButton(Icons.keyboard_arrow_left, () => _nudge(-1, 0)),
const SizedBox(width: 28),
_buildCropDirButton(Icons.keyboard_arrow_right, () => _nudge(1, 0)),
],
),
_buildCropDirButton(Icons.keyboard_arrow_down, () => _nudge(0, 1)),
],
),
const SizedBox(width: 10),
_buildCropSignLabel('+'),
],
);
}
Widget _buildCropDirButton(IconData icon, VoidCallback onPressed) {
return Container(
decoration: BoxDecoration(color: Colors.black54, borderRadius: BorderRadius.circular(6)),
margin: const EdgeInsets.all(2),
child: IconButton(
icon: Icon(icon, color: Colors.white, size: 22),
onPressed: onPressed,
padding: EdgeInsets.zero,
constraints: const BoxConstraints(minWidth: 32, minHeight: 32),
),
);
}
Widget _buildCropSignLabel(String text) {
return Text(
text,
style: const TextStyle(color: Colors.white54, fontSize: 24, fontWeight: FontWeight.bold),
);
}
void _nudge(double dx, double dy) {
setState(() {
_offset = _offset + Offset(dx, dy);
});
}
void _onScaleStart(ScaleStartDetails details) {
_baseScale = _scale;
_startFocalPoint = details.focalPoint;
@@ -434,13 +389,14 @@ class _CropScreenState extends State<CropScreen> {
Future<void> _onCropConfirm() async {
setState(() => _isLoading = true);
try {
// Facteur d'échelle affichage/source (BoxFit.cover) — identique à celui
// utilisé pour afficher l'image dans l'aperçu : l'image remplit la zone,
// le débord est rogné, donc l'échelle est le MAX des deux ratios d'axe.
final double displayPerSourcePx = math.max(
_viewportSize.width / _imageSize!.width,
_viewportSize.height / _imageSize!.height,
);
// Facteur d'échelle affichage/source (BoxFit.contain) — identique à
// celui utilisé pour afficher l'image dans l'aperçu.
final imageAspect = _imageSize!.width / _imageSize!.height;
final viewportAspect = _viewportSize.width / _viewportSize.height;
final double displayWidth = imageAspect > viewportAspect
? _viewportSize.width
: _viewportSize.height * imageAspect;
final double displayPerSourcePx = displayWidth / _imageSize!.width;
// Découpe calée sur la fenêtre de visée : le DÉPLACEMENT (pan) et la
// ROTATION sont pris en compte, le ZOOM est ignoré, et les débordements

View File

@@ -19,7 +19,6 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
late Weapon _weapon;
List<MaintenanceEntry> _maintenance = [];
int _totalRounds = 0;
int _sessionCount = 0;
bool _isLoading = true;
@override
@@ -33,12 +32,10 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
final repository = context.read<SessionRepository>();
final history = await repository.getMaintenanceHistory(_weapon.id);
final rounds = await repository.getRoundsFiredForWeapon(_weapon.id);
final sessions = await repository.getSessionCountForWeapon(_weapon.id);
if (mounted) {
setState(() {
_maintenance = history;
_totalRounds = rounds;
_sessionCount = sessions;
_isLoading = false;
});
}
@@ -52,7 +49,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
actions: [
IconButton(
icon: const Icon(Icons.edit),
onPressed: _showEditWeaponDialog,
onPressed: () => _showEditWeaponDialog(context),
),
],
),
@@ -74,7 +71,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
),
),
floatingActionButton: FloatingActionButton.extended(
onPressed: _showAddMaintenanceDialog,
onPressed: () => _showAddMaintenanceDialog(context),
label: const Text('Entretien'),
icon: const Icon(Icons.build),
),
@@ -96,7 +93,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
Expanded(
child: _buildStatCard(
'Sessions',
_sessionCount.toString(),
'N/A',
Icons.history,
Colors.orange,
),
@@ -152,24 +149,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: [
const Expanded(
child: Text('Options & Personnalisation', style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16)),
),
IconButton(
tooltip: 'Modifier les accessoires (crée une nouvelle configuration)',
icon: const Icon(Icons.edit, color: Colors.white, size: 18),
style: IconButton.styleFrom(
backgroundColor: AppTheme.primaryColor,
padding: const EdgeInsets.all(8),
minimumSize: const Size(36, 36),
),
onPressed: _showEditAccessoriesDialog,
),
],
),
const Text('Options & Personnalisation', style: TextStyle(fontWeight: FontWeight.bold, fontSize: 16)),
const Divider(),
_buildInfoRow('Optique / Lunette', _weapon.optic ?? 'Mire fer'),
_buildInfoRow('Modérateur / Silencieux', _weapon.silencer ?? 'Aucun'),
@@ -223,7 +203,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
title: Text(entry.type.displayName),
subtitle: Text(entry.description),
trailing: Text(DateFormat('dd/MM/yy').format(entry.date), style: const TextStyle(fontSize: 12)),
onLongPress: () => _confirmDeleteMaintenance(entry),
onLongPress: () => _confirmDeleteMaintenance(context, entry),
),
);
},
@@ -252,36 +232,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
}
}
// Recentre le champ qui prend le focus au milieu de la vue restante une fois
// le clavier ouvert. Sans cela, l'AlertDialog se rétrécit et le champ ciblé
// (ex: Modérateur) se retrouve caché sous le clavier.
Widget _autoScrollOnFocus(Widget child) {
return Builder(
builder: (context) => Focus(
canRequestFocus: false,
skipTraversal: true,
onFocusChange: (hasFocus) {
if (!hasFocus) return;
// On attend que le clavier ait fini de redimensionner la vue.
Future.delayed(const Duration(milliseconds: 300), () {
if (context.mounted) {
Scrollable.ensureVisible(
context,
alignment: 0.5,
duration: const Duration(milliseconds: 250),
curve: Curves.easeInOut,
);
}
});
},
child: child,
),
);
}
void _showEditWeaponDialog() async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
void _showEditWeaponDialog(BuildContext context) async {
final nameController = TextEditingController(text: _weapon.name);
final caliberController = TextEditingController(text: _weapon.caliber);
final magCountController = TextEditingController(text: _weapon.magazineCount.toString());
@@ -302,41 +253,41 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
_autoScrollOnFocus(TextField(
TextField(
controller: nameController,
decoration: const InputDecoration(labelText: 'Modèle', hintText: 'ex: Glock 17'),
)),
_autoScrollOnFocus(TextField(
),
TextField(
controller: customNameController,
decoration: const InputDecoration(labelText: 'Surnom / Custom Name', hintText: 'ex: Mon Glock de Compète'),
)),
),
DropdownButtonFormField<WeaponType>(
initialValue: selectedType,
value: selectedType,
decoration: const InputDecoration(labelText: 'Type'),
items: WeaponType.values.map((t) => DropdownMenuItem(value: t, child: Text(t.displayName))).toList(),
onChanged: (v) => setState(() => selectedType = v!),
),
_autoScrollOnFocus(TextField(
TextField(
controller: caliberController,
decoration: const InputDecoration(labelText: 'Calibre'),
)),
),
const SizedBox(height: 16),
const Text('Équipement & Options', style: TextStyle(fontWeight: FontWeight.bold)),
_autoScrollOnFocus(TextField(
TextField(
controller: opticController,
decoration: const InputDecoration(labelText: 'Optique / Lunette', hintText: 'ex: Holosun 507C'),
)),
_autoScrollOnFocus(TextField(
),
TextField(
controller: silencerController,
decoration: const InputDecoration(labelText: 'Modérateur / Silencieux'),
)),
_autoScrollOnFocus(TextField(
),
TextField(
controller: triggerController,
decoration: const InputDecoration(labelText: 'Détente / Trigger'),
)),
),
const SizedBox(height: 16),
const Text('Logistique', style: TextStyle(fontWeight: FontWeight.bold)),
_autoScrollOnFocus(Row(
Row(
children: [
Expanded(
child: TextField(
@@ -354,12 +305,12 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
),
),
],
)),
_autoScrollOnFocus(TextField(
),
TextField(
controller: notesController,
decoration: const InputDecoration(labelText: 'Notes'),
maxLines: 2,
)),
),
],
),
),
@@ -385,125 +336,17 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
customName: customNameController.text.isEmpty ? null : customNameController.text,
);
final repository = context.read<SessionRepository>();
await repository.updateWeapon(updatedWeapon);
if (!mounted) return;
setState(() {
_weapon = updatedWeapon;
});
}
}
// Édition rapide des accessoires uniquement. Comme la qualité de tir dépend
// fortement des accessoires, on ne modifie PAS l'arme existante : on crée une
// nouvelle arme (même modèle, accessoires différents) dans l'armurerie afin de
// pouvoir comparer les scores selon la configuration utilisée.
void _showEditAccessoriesDialog() async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
final opticController = TextEditingController(text: _weapon.optic);
final silencerController = TextEditingController(text: _weapon.silencer);
final triggerController = TextEditingController(text: _weapon.trigger);
final customNameController = TextEditingController(text: _weapon.customName);
final result = await showDialog<bool>(
context: context,
builder: (context) => AlertDialog(
title: const Text('Modifier les accessoires'),
content: SingleChildScrollView(
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
const Text(
'Une nouvelle arme sera créée dans l\'armurerie avec ces accessoires, '
'pour pouvoir comparer les scores selon la configuration.',
style: TextStyle(fontSize: 12, color: Colors.grey),
),
const SizedBox(height: 12),
_autoScrollOnFocus(TextField(
controller: opticController,
decoration: const InputDecoration(labelText: 'Optique / Lunette', hintText: 'ex: Holosun 507C'),
)),
_autoScrollOnFocus(TextField(
controller: silencerController,
decoration: const InputDecoration(labelText: 'Modérateur / Silencieux'),
)),
_autoScrollOnFocus(TextField(
controller: triggerController,
decoration: const InputDecoration(labelText: 'Détente / Trigger'),
)),
_autoScrollOnFocus(TextField(
controller: customNameController,
decoration: const InputDecoration(
labelText: 'Surnom de la configuration',
hintText: 'ex: Echelon + Holosun',
),
)),
],
),
),
actions: [
TextButton(onPressed: () => Navigator.pop(context, false), child: const Text('Annuler')),
ElevatedButton(onPressed: () => Navigator.pop(context, true), child: const Text('Créer la configuration')),
],
),
);
if (result != true || !mounted) return;
final newOptic = opticController.text.isEmpty ? null : opticController.text;
final newSilencer = silencerController.text.isEmpty ? null : silencerController.text;
final newTrigger = triggerController.text.isEmpty ? null : triggerController.text;
var newCustomName = customNameController.text.isEmpty ? null : customNameController.text;
// Rien à faire si aucun accessoire n'a changé.
final unchanged = newOptic == _weapon.optic &&
newSilencer == _weapon.silencer &&
newTrigger == _weapon.trigger;
if (unchanged) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(content: Text('Aucun accessoire modifié, aucune configuration créée.')),
);
return;
}
// Génère un surnom par défaut décrivant la config si l'utilisateur n'en a pas saisi.
if (newCustomName == null) {
final accessories = [newOptic, newSilencer, newTrigger]
.where((a) => a != null && a.isNotEmpty)
.join(' / ');
newCustomName = accessories.isEmpty ? null : '${_weapon.name} ($accessories)';
}
final newWeapon = await repository.addWeapon(
name: _weapon.name,
type: _weapon.type,
caliber: _weapon.caliber,
magazineCount: _weapon.magazineCount,
magazineCapacity: _weapon.magazineCapacity,
notes: _weapon.notes,
optic: newOptic,
silencer: newSilencer,
trigger: newTrigger,
customName: newCustomName,
);
if (!mounted) return;
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(content: Text('Nouvelle configuration créée : ${newWeapon.displayName}')),
);
// On bascule sur la nouvelle arme pour que les sessions suivantes y soient rattachées.
Navigator.pushReplacement(
context,
MaterialPageRoute(builder: (_) => WeaponDetailScreen(weapon: newWeapon)),
);
}
void _showAddMaintenanceDialog() async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
void _showAddMaintenanceDialog(BuildContext context) async {
final descController = TextEditingController();
MaintenanceType selectedType = MaintenanceType.cleaning;
DateTime selectedDate = DateTime.now();
final result = await showDialog<bool>(
context: context,
@@ -514,7 +357,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
mainAxisSize: MainAxisSize.min,
children: [
DropdownButtonFormField<MaintenanceType>(
initialValue: selectedType,
value: selectedType,
decoration: const InputDecoration(labelText: 'Type d\'intervention'),
items: MaintenanceType.values.map((t) => DropdownMenuItem(value: t, child: Text(t.displayName))).toList(),
onChanged: (v) => setState(() => selectedType = v!),
@@ -524,27 +367,6 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
decoration: const InputDecoration(labelText: 'Description', hintText: 'ex: Nettoyage complet après séance'),
maxLines: 2,
),
const SizedBox(height: 8),
InkWell(
onTap: () async {
final picked = await showDatePicker(
context: context,
initialDate: selectedDate,
firstDate: DateTime(2000),
lastDate: DateTime.now(),
);
if (picked != null) {
setState(() => selectedDate = picked);
}
},
child: InputDecorator(
decoration: const InputDecoration(
labelText: 'Date',
suffixIcon: Icon(Icons.calendar_today, size: 18),
),
child: Text(DateFormat('dd/MM/yyyy').format(selectedDate)),
),
),
],
),
actions: [
@@ -556,21 +378,18 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
);
if (result == true && descController.text.isNotEmpty) {
final repository = context.read<SessionRepository>();
await repository.addMaintenanceEntry(
weaponId: _weapon.id,
type: selectedType,
description: descController.text,
roundsSinceLast: _totalRounds,
date: selectedDate,
);
if (!mounted) return;
_loadData();
}
}
void _confirmDeleteMaintenance(MaintenanceEntry entry) async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
void _confirmDeleteMaintenance(BuildContext context, MaintenanceEntry entry) async {
final confirmed = await showDialog<bool>(
context: context,
builder: (context) => AlertDialog(
@@ -587,8 +406,8 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
);
if (confirmed == true) {
final repository = context.read<SessionRepository>();
await repository.deleteMaintenanceEntry(entry.id);
if (!mounted) return;
_loadData();
}
}

View File

@@ -46,7 +46,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
? _buildEmptyState()
: _buildWeaponList(),
floatingActionButton: FloatingActionButton(
onPressed: _showAddWeaponDialog,
onPressed: () => _showAddWeaponDialog(context),
child: const Icon(Icons.add),
),
);
@@ -62,7 +62,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
const Text('Aucune arme enregistrée'),
const SizedBox(height: 24),
ElevatedButton(
onPressed: _showAddWeaponDialog,
onPressed: () => _showAddWeaponDialog(context),
child: const Text('Ajouter ma première arme'),
),
],
@@ -76,58 +76,19 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
itemCount: _weapons.length,
itemBuilder: (context, index) {
final weapon = _weapons[index];
final accessories = _accessoryChips(weapon);
return Card(
margin: const EdgeInsets.only(bottom: 12),
child: InkWell(
borderRadius: BorderRadius.circular(12),
onTap: () async {
await Navigator.push(
context,
MaterialPageRoute(builder: (_) => WeaponDetailScreen(weapon: weapon)),
);
_loadWeapons(); // Reload in case it was edited or maintenance was added
},
onLongPress: () => _confirmDelete(weapon),
child: Padding(
// La hauteur du cadre s'adapte automatiquement à la liste d'accessoires.
padding: const EdgeInsets.symmetric(horizontal: 16, vertical: 12),
child: Row(
crossAxisAlignment: CrossAxisAlignment.center,
children: [
CircleAvatar(
child: ListTile(
leading: CircleAvatar(
backgroundColor: AppTheme.primaryColor.withValues(alpha: 0.1),
child: Icon(
weapon.type == WeaponType.handgun ? Icons.shield : Icons.ads_click,
color: AppTheme.primaryColor,
),
),
const SizedBox(width: 16),
Expanded(
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
mainAxisSize: MainAxisSize.min,
children: [
Text(weapon.displayName, style: const TextStyle(fontWeight: FontWeight.bold)),
if (accessories.isNotEmpty) ...[
const SizedBox(height: 6),
Wrap(
spacing: 6,
runSpacing: 6,
children: accessories,
),
const SizedBox(height: 6),
] else
const SizedBox(height: 2),
Text(
'${weapon.type.displayName}${weapon.caliber}',
style: const TextStyle(fontSize: 13, color: Colors.grey),
),
],
),
),
const SizedBox(width: 12),
Column(
title: Text(weapon.displayName, style: const TextStyle(fontWeight: FontWeight.bold)),
subtitle: Text('${weapon.type.displayName}${weapon.caliber}'),
trailing: Column(
mainAxisAlignment: MainAxisAlignment.center,
crossAxisAlignment: CrossAxisAlignment.end,
children: [
@@ -135,53 +96,21 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
Text('${weapon.magazineCapacity} coups', style: const TextStyle(fontSize: 12, color: Colors.grey)),
],
),
],
),
),
onTap: () async {
await Navigator.push(
context,
MaterialPageRoute(builder: (_) => WeaponDetailScreen(weapon: weapon)),
);
_loadWeapons(); // Reload in case it was edited or maintenance was added
},
onLongPress: () => _confirmDelete(context, weapon),
),
);
},
);
}
// Construit la liste des "puces" d'accessoires renseignés pour une arme.
// Seuls les accessoires effectivement définis sont affichés ; la card
// s'agrandit donc en fonction du nombre d'accessoires.
List<Widget> _accessoryChips(Weapon weapon) {
final items = <(IconData, String)>[];
if (weapon.optic != null && weapon.optic!.isNotEmpty) {
items.add((Icons.center_focus_strong, weapon.optic!));
}
if (weapon.silencer != null && weapon.silencer!.isNotEmpty) {
items.add((Icons.volume_off, weapon.silencer!));
}
if (weapon.trigger != null && weapon.trigger!.isNotEmpty) {
items.add((Icons.touch_app, weapon.trigger!));
}
return items.map((item) {
return Container(
padding: const EdgeInsets.symmetric(horizontal: 8, vertical: 3),
decoration: BoxDecoration(
color: AppTheme.primaryColor.withValues(alpha: 0.08),
borderRadius: BorderRadius.circular(20),
border: Border.all(color: AppTheme.primaryColor.withValues(alpha: 0.25)),
),
child: Row(
mainAxisSize: MainAxisSize.min,
children: [
Icon(item.$1, size: 13, color: AppTheme.primaryColor),
const SizedBox(width: 4),
Text(item.$2, style: const TextStyle(fontSize: 12)),
],
),
);
}).toList();
}
void _showAddWeaponDialog() async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
void _showAddWeaponDialog(BuildContext context) async {
final nameController = TextEditingController();
final caliberController = TextEditingController();
final magCountController = TextEditingController(text: '2');
@@ -202,7 +131,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
decoration: const InputDecoration(labelText: 'Nom de l\'arme', hintText: 'ex: Glock 17'),
),
DropdownButtonFormField<WeaponType>(
initialValue: selectedType,
value: selectedType,
decoration: const InputDecoration(labelText: 'Type'),
items: WeaponType.values.map((t) => DropdownMenuItem(value: t, child: Text(t.displayName))).toList(),
onChanged: (v) => setState(() => selectedType = v!),
@@ -242,6 +171,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
);
if (result == true && nameController.text.isNotEmpty) {
final repository = context.read<SessionRepository>();
await repository.addWeapon(
name: nameController.text,
type: selectedType,
@@ -249,14 +179,11 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
magazineCount: int.tryParse(magCountController.text) ?? 1,
magazineCapacity: int.tryParse(magCapController.text) ?? 10,
);
if (!mounted) return;
_loadWeapons();
}
}
void _confirmDelete(Weapon weapon) async {
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
final repository = context.read<SessionRepository>();
void _confirmDelete(BuildContext context, Weapon weapon) async {
final confirmed = await showDialog<bool>(
context: context,
builder: (context) => AlertDialog(
@@ -273,8 +200,8 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
);
if (confirmed == true) {
final repository = context.read<SessionRepository>();
await repository.deleteWeapon(weapon.id);
if (!mounted) return;
_loadWeapons();
}
}

View File

@@ -11,13 +11,7 @@ import 'widgets/session_list_item.dart';
import 'widgets/history_chart.dart';
class HistoryScreen extends StatefulWidget {
/// Incrémenté par la navigation à chaque ouverture de l'onglet Historique,
/// pour forcer un rechargement des sessions (l'écran est gardé vivant par un
/// IndexedStack, sinon une session tout juste clôturée n'apparaîtrait pas
/// tant qu'on ne tire pas manuellement pour rafraîchir).
final int refreshTick;
const HistoryScreen({super.key, this.refreshTick = 0});
const HistoryScreen({super.key});
@override
State<HistoryScreen> createState() => _HistoryScreenState();
@@ -37,16 +31,6 @@ class _HistoryScreenState extends State<HistoryScreen> {
_loadSessions();
}
@override
void didUpdateWidget(HistoryScreen oldWidget) {
super.didUpdateWidget(oldWidget);
// L'onglet vient d'être ré-ouvert : on recharge pour afficher les sessions
// récemment clôturées sans avoir à tirer manuellement pour rafraîchir.
if (oldWidget.refreshTick != widget.refreshTick) {
_loadSessions();
}
}
Future<void> _loadSessions() async {
if (!mounted) return;
setState(() => _isLoading = true);
@@ -59,14 +43,6 @@ class _HistoryScreenState extends State<HistoryScreen> {
setState(() {
_sessions = sessions;
// --- FILTRAGE PAR TYPE DE CIBLE ---
// Une session est retenue si au moins une de ses cibles est du type choisi.
if (_filterType != null) {
_sessions = _sessions
.where((s) => s.analyses.any((a) => a.targetType == _filterType))
.toList();
}
// --- LOGIQUE DE FILTRAGE PAR PÉRIODE ---
if (_selectedDateRange != null) {
_sessions = _sessions.where((s) {
@@ -127,7 +103,7 @@ class _HistoryScreenState extends State<HistoryScreen> {
onSurface: Colors.black87, // Texte des dates (Noir sur Blanc)
secondary: AppTheme.primaryColor,
),
dialogTheme: const DialogThemeData(backgroundColor: Colors.white),
dialogBackgroundColor: Colors.white,
textButtonTheme: TextButtonThemeData(
style: TextButton.styleFrom(foregroundColor: AppTheme.primaryColor),
),
@@ -149,29 +125,17 @@ class _HistoryScreenState extends State<HistoryScreen> {
appBar: AppBar(
title: const Text('Historique'),
actions: [
// NOTE : on passe par un String sentinelle ('all') car un
// PopupMenuItem avec value null ne déclenche jamais onSelected
// (Flutter l'interprète comme une annulation du menu).
PopupMenuButton<String>(
icon: Icon(
Icons.filter_list,
// Icône colorée quand un filtre est actif, pour le rendre visible.
color: _filterType != null ? AppTheme.primaryColor : null,
),
onSelected: (value) {
setState(() {
_filterType =
value == 'all' ? null : TargetType.fromString(value);
});
PopupMenuButton<TargetType?>(
icon: const Icon(Icons.filter_list),
onSelected: (type) {
setState(() => _filterType = type);
_loadSessions();
},
itemBuilder: (context) => [
const PopupMenuItem(value: 'all', child: Text('Tous')),
const PopupMenuItem(value: null, child: Text('Tous')),
...TargetType.values.map(
(type) => PopupMenuItem(
value: type.name,
child: Text(type.displayName),
),
(type) =>
PopupMenuItem(value: type, child: Text(type.displayName)),
),
],
),

View File

@@ -25,43 +25,12 @@ class _HomeScreenState extends State<HomeScreen> {
List<Session> _recentSessions = [];
bool _isLoading = true;
SessionProvider? _sessionProvider;
bool _wasSessionActive = false;
@override
void initState() {
super.initState();
_loadStats();
}
@override
void didChangeDependencies() {
super.didChangeDependencies();
final provider = context.read<SessionProvider>();
if (provider != _sessionProvider) {
_sessionProvider?.removeListener(_onSessionChanged);
_sessionProvider = provider;
_sessionProvider!.addListener(_onSessionChanged);
_wasSessionActive = provider.isSessionActive;
}
}
void _onSessionChanged() {
final isActive = _sessionProvider?.isSessionActive ?? false;
// Quand une session vient de se terminer, on rafraîchit les stats
// automatiquement pour prendre en compte la dernière session.
if (_wasSessionActive && !isActive) {
_loadStats();
}
_wasSessionActive = isActive;
}
@override
void dispose() {
_sessionProvider?.removeListener(_onSessionChanged);
super.dispose();
}
Future<void> _loadStats() async {
final repository = context.read<SessionRepository>();
final stats = await repository.getStatistics();

View File

@@ -1,5 +1,7 @@
import 'package:flutter/foundation.dart';
import '../../data/models/session.dart';
import '../../data/models/target_analysis.dart';
import '../../data/models/weapon.dart';
class SessionProvider extends ChangeNotifier {
DateTime? _sessionDate;

View File

@@ -168,7 +168,7 @@ class _SessionSetupScreenState extends State<SessionSetupScreen> {
Column(
children: [
DropdownButtonFormField<Weapon>(
initialValue: _selectedWeapon,
value: _selectedWeapon,
decoration: InputDecoration(
labelText: 'Sélectionner une arme',
prefixIcon: const Icon(Icons.shield),

View File

@@ -67,7 +67,7 @@ class _SettingsScreenState extends State<SettingsScreen> {
if (mounted) setState(() => _isLoadingStats = false);
}
} catch (e) {
debugPrint('Erreur lors du chargement des statistiques: $e');
print('Erreur lors du chargement des statistiques: $e');
if (mounted) setState(() => _isLoadingStats = false);
}
}
@@ -85,6 +85,8 @@ class _SettingsScreenState extends State<SettingsScreen> {
}
void _showThemeDialog() {
final themeProvider = context.read<ThemeProvider>();
showDialog(
context: context,
builder: (context) => AlertDialog(
@@ -245,79 +247,6 @@ class _SettingsScreenState extends State<SettingsScreen> {
);
}
// Rapport de bug autonome : on collecte une description + les infos
// techniques, et on copie un rapport prêt à coller dans un email de support.
void _showReportBugDialog() {
final descController = TextEditingController();
const supportEmail = 'monadressemaildesupport@nomdelapplication.com';
const appVersion = '1.0.0';
final platform = Theme.of(context).platform.name;
showDialog(
context: context,
builder: (context) => AlertDialog(
title: const Text('Signaler un bug'),
content: SingleChildScrollView(
child: Column(
mainAxisSize: MainAxisSize.min,
crossAxisAlignment: CrossAxisAlignment.start,
children: [
const Text(
'Décrivez le problème : ce que vous faisiez, ce qui était attendu et ce qui s\'est passé.',
style: TextStyle(fontSize: 13, color: Colors.grey),
),
const SizedBox(height: 12),
TextField(
controller: descController,
maxLines: 5,
decoration: const InputDecoration(
hintText: 'Ex: l\'application se ferme quand j\'ouvre une session...',
border: OutlineInputBorder(),
),
),
const SizedBox(height: 12),
Text(
'Infos techniques jointes : version $appVersion$platform',
style: const TextStyle(fontSize: 11, color: Colors.grey),
),
],
),
),
actions: [
TextButton(
onPressed: () => Navigator.pop(context),
child: const Text('Annuler'),
),
ElevatedButton.icon(
icon: const Icon(Icons.copy, size: 18),
label: const Text('Copier le rapport'),
onPressed: () {
final desc = descController.text.trim();
final report = StringBuffer()
..writeln('--- Rapport de bug ---')
..writeln('Version : $appVersion')
..writeln('Plateforme : $platform')
..writeln('Date : ${DateTime.now().toIso8601String()}')
..writeln('')
..writeln('Description :')
..writeln(desc.isEmpty ? '(non renseignée)' : desc);
Clipboard.setData(ClipboardData(text: report.toString()));
Navigator.pop(context);
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(
content: Text('Rapport copié — collez-le dans un email à $supportEmail'),
backgroundColor: AppTheme.successColor,
duration: Duration(seconds: 5),
),
);
},
),
],
),
);
}
@override
Widget build(BuildContext context) {
return Scaffold(
@@ -374,7 +303,7 @@ class _SettingsScreenState extends State<SettingsScreen> {
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,
activeThumbColor: AppTheme.primaryColor,
activeColor: AppTheme.primaryColor,
shape: RoundedRectangleBorder(
borderRadius: BorderRadius.circular(12.0),
side: BorderSide(color: Colors.grey.withAlpha(50), width: 1),
@@ -418,13 +347,6 @@ class _SettingsScreenState extends State<SettingsScreen> {
subtitle: '1.0.0',
onTap: () {},
),
_buildSettingsTile(
context: context,
icon: Icons.bug_report_outlined,
title: 'Signaler un bug',
subtitle: 'Aidez-nous à corriger les problèmes',
onTap: _showReportBugDialog,
),
_buildSettingsTile(
context: context,
icon: Icons.privacy_tip_outlined,

View File

@@ -3,7 +3,6 @@ import 'dart:ui' as ui;
import 'package:flutter/material.dart';
import 'package:provider/provider.dart';
import 'package:fl_chart/fl_chart.dart'; // La librairie pour les courbes
import '../../core/widgets/metric_info_button.dart';
import '../../data/models/session.dart';
import '../../data/repositories/session_repository.dart';
import '../../services/statistics_service.dart';
@@ -11,12 +10,7 @@ import '../../services/statistics_service.dart';
class StatisticsScreen extends StatefulWidget {
final Session? singleSession;
/// Incrémenté par la navigation à chaque fois que l'onglet Stats est ouvert,
/// pour forcer un rechargement des données (l'écran est gardé vivant par un
/// IndexedStack, sinon les filtres arme/distance resteraient périmés).
final int refreshTick;
const StatisticsScreen({super.key, this.singleSession, this.refreshTick = 0});
const StatisticsScreen({super.key, this.singleSession});
@override
State<StatisticsScreen> createState() => _StatisticsScreenState();
@@ -24,7 +18,7 @@ class StatisticsScreen extends StatefulWidget {
class _StatisticsScreenState extends State<StatisticsScreen> {
final StatisticsService _statisticsService = StatisticsService();
final StatsPeriod _selectedPeriod = StatsPeriod.all;
StatsPeriod _selectedPeriod = StatsPeriod.all;
SessionStatistics? _statistics;
bool _isLoading = true;
List<Session> _allSessions = [];
@@ -35,30 +29,12 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
List<String> _availableWeapons = ['Toutes'];
List<String> _availableDistances = ['Toutes'];
// --- Comparateur de sessions ---
// Quand 2 sessions sont sélectionnées, l'écran passe en mode comparaison :
// un switch permet d'alterner l'affichage des stats entre la session A et B.
Session? _compareA;
Session? _compareB;
bool _showingB = false; // false = on affiche A, true = on affiche B
bool get _compareMode => _compareA != null && _compareB != null;
@override
void initState() {
super.initState();
WidgetsBinding.instance.addPostFrameCallback((_) => _loadStatistics());
}
@override
void didUpdateWidget(StatisticsScreen oldWidget) {
super.didUpdateWidget(oldWidget);
// L'onglet vient d'être ré-ouvert : on recharge pour rafraîchir les listes
// de filtres (armes/distances) et les stats avec les nouvelles sessions.
if (oldWidget.refreshTick != widget.refreshTick) {
_loadStatistics();
}
}
Future<void> _loadStatistics() async {
if (!mounted) return;
setState(() => _isLoading = true);
@@ -103,17 +79,6 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
}
void _calculateStats() {
// Mode comparaison : on calcule les stats sur la seule session active
// (A ou B selon le switch), sans filtre de période.
if (_compareMode) {
final active = _showingB ? _compareB! : _compareA!;
_statistics = _statisticsService.calculateStatistics(
[active],
period: StatsPeriod.all,
);
return;
}
// Filtrer les sessions avant calcul
final filteredSessions = _allSessions.where((s) {
final weaponMatch = _selectedWeapon == 'Toutes' || s.weapon == _selectedWeapon;
@@ -127,80 +92,6 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
);
}
String _sessionLabel(Session s) {
final d = s.createdAt;
final date = '${d.day.toString().padLeft(2, '0')}/${d.month.toString().padLeft(2, '0')}/${d.year}';
return '${s.weapon}$date${s.totalScore} pts';
}
// Sélection des 2 sessions à comparer via un dialog à deux listes déroulantes.
Future<void> _openCompareDialog() async {
if (_allSessions.length < 2) {
ScaffoldMessenger.of(context).showSnackBar(
const SnackBar(content: Text('Il faut au moins 2 sessions enregistrées pour comparer.')),
);
return;
}
Session? a = _compareA ?? _allSessions[0];
Session? b = _compareB ?? _allSessions[1];
final confirmed = await showDialog<bool>(
context: context,
builder: (context) => StatefulBuilder(
builder: (context, setState) => AlertDialog(
title: const Text('Comparer 2 sessions'),
content: Column(
mainAxisSize: MainAxisSize.min,
children: [
DropdownButtonFormField<Session>(
initialValue: a,
isExpanded: true,
decoration: const InputDecoration(labelText: 'Session A'),
items: _allSessions
.map((s) => DropdownMenuItem(value: s, child: Text(_sessionLabel(s), overflow: TextOverflow.ellipsis)))
.toList(),
onChanged: (v) => setState(() => a = v),
),
const SizedBox(height: 12),
DropdownButtonFormField<Session>(
initialValue: b,
isExpanded: true,
decoration: const InputDecoration(labelText: 'Session B'),
items: _allSessions
.map((s) => DropdownMenuItem(value: s, child: Text(_sessionLabel(s), overflow: TextOverflow.ellipsis)))
.toList(),
onChanged: (v) => setState(() => b = v),
),
],
),
actions: [
TextButton(onPressed: () => Navigator.pop(context, false), child: const Text('Annuler')),
ElevatedButton(onPressed: () => Navigator.pop(context, true), child: const Text('Comparer')),
],
),
),
);
if (confirmed == true && a != null && b != null) {
setState(() {
_compareA = a;
_compareB = b;
_showingB = false;
_calculateStats();
});
}
}
void _exitCompareMode() {
setState(() {
_compareA = null;
_compareB = null;
_showingB = false;
_calculateStats();
});
}
List<double> _getScoreHistory() {
if (_statistics == null || _statistics!.sessions.isEmpty) return [0];
// Sort sessions by date and take last 10
@@ -232,14 +123,11 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
),
body: _isLoading
? const Center(child: CircularProgressIndicator())
: Column(
children: [
// HEADER COLLANT : filtres + comparateur toujours visibles
Material(
elevation: 2,
color: Theme.of(context).scaffoldBackgroundColor,
child: Padding(
padding: const EdgeInsets.fromLTRB(16, 16, 16, 12),
: RefreshIndicator(
onRefresh: _loadStatistics,
child: SingleChildScrollView(
physics: const AlwaysScrollableScrollPhysics(),
padding: const EdgeInsets.all(16),
child: Column(
children: [
// 1. FILTRES (Arme et Distance)
@@ -274,22 +162,8 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
),
],
),
const SizedBox(height: 12),
const SizedBox(height: 20),
// 1bis. COMPARATEUR DE SESSIONS
_buildComparator(),
],
),
),
),
Expanded(
child: RefreshIndicator(
onRefresh: _loadStatistics,
child: SingleChildScrollView(
physics: const AlwaysScrollableScrollPhysics(),
padding: const EdgeInsets.all(16),
child: Column(
children: [
// 2. DONNÉES RAPIDES (Tirs et Sessions)
Row(
children: [
@@ -317,46 +191,18 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
'Score',
'${_statistics?.totalScore ?? 0}',
_getScoreHistory(),
explanations: const [
MetricExplanation(
'Score',
'Total des points marqués sur la période sélectionnée.',
),
],
),
const SizedBox(height: 20),
_buildChartSection(
'Précision',
'${_statistics?.precision.precisionScore.toStringAsFixed(1)}%',
_getPrecisionHistory(),
explanations: const [
MetricExplanation(
'Précision',
'Proximité moyenne de vos impacts par rapport au centre '
'de la cible (calculée sur les distances).',
),
MetricExplanation(
'À ne pas confondre',
'C\'est différent de la « Réussite » affichée dans une '
'session, qui se base sur les points marqués. Les deux '
'mesurent des choses distinctes, leurs pourcentages '
'ne sont donc pas identiques.',
),
],
),
const SizedBox(height: 20),
_buildChartSection(
'Étalement moyen',
'${((_statistics?.precision.groupingDiameter ?? 0) * 100).toStringAsFixed(1)}%',
'Groupement moyen',
'${(_statistics?.precision.groupingDiameter ?? 0 * 100).toStringAsFixed(1)}%',
_getScoreHistory().map((e) => e / 10).toList(), // Proxy for grouping history
explanations: const [
MetricExplanation(
'Étalement moyen',
'Étalement moyen de vos groupements : distance entre les '
'impacts les plus éloignés, en % de la largeur de '
'l\'image. Plus c\'est bas, plus vos tirs sont serrés.',
),
],
),
const SizedBox(height: 25),
@@ -379,97 +225,6 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
),
),
),
),
],
),
);
}
// Comparateur : bouton pour choisir 2 sessions, puis switch pour alterner.
Widget _buildComparator() {
final theme = Theme.of(context);
if (!_compareMode) {
return SizedBox(
width: double.infinity,
child: OutlinedButton.icon(
onPressed: _openCompareDialog,
icon: const Icon(Icons.compare_arrows),
label: const Text('Comparer 2 sessions'),
),
);
}
final activeColor = const Color(0xFF1A73E8);
return Container(
padding: const EdgeInsets.symmetric(horizontal: 12, vertical: 10),
decoration: BoxDecoration(
color: activeColor.withValues(alpha: 0.08),
borderRadius: BorderRadius.circular(12),
border: Border.all(color: activeColor.withValues(alpha: 0.3)),
),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
Icon(Icons.compare_arrows, color: activeColor, size: 18),
const SizedBox(width: 6),
Text('Comparaison', style: TextStyle(fontWeight: FontWeight.bold, color: activeColor)),
const Spacer(),
IconButton(
tooltip: 'Quitter la comparaison',
icon: const Icon(Icons.close, size: 18),
onPressed: _exitCompareMode,
padding: EdgeInsets.zero,
constraints: const BoxConstraints(),
),
],
),
const SizedBox(height: 8),
// Switch pour alterner entre les 2 sessions.
Row(
children: [
Expanded(
child: Text(
'A · ${_sessionLabel(_compareA!)}',
style: TextStyle(
fontSize: 12,
color: _showingB ? theme.textTheme.bodySmall?.color?.withValues(alpha: 0.5) : null,
fontWeight: _showingB ? FontWeight.normal : FontWeight.bold,
),
overflow: TextOverflow.ellipsis,
),
),
Switch(
value: _showingB,
activeThumbColor: activeColor,
onChanged: (v) => setState(() {
_showingB = v;
_calculateStats();
}),
),
Expanded(
child: Text(
'B · ${_sessionLabel(_compareB!)}',
textAlign: TextAlign.right,
style: TextStyle(
fontSize: 12,
color: _showingB ? null : theme.textTheme.bodySmall?.color?.withValues(alpha: 0.5),
fontWeight: _showingB ? FontWeight.bold : FontWeight.normal,
),
overflow: TextOverflow.ellipsis,
),
),
],
),
const SizedBox(height: 4),
Text(
'Affichage : session ${_showingB ? 'B' : 'A'}',
style: TextStyle(fontSize: 11, color: theme.textTheme.bodySmall?.color?.withValues(alpha: 0.6)),
),
],
),
);
}
@@ -547,9 +302,8 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
Widget _buildChartSection(
String title,
String value,
List<double> dataPoints, {
List<MetricExplanation>? explanations,
}) {
List<double> dataPoints,
) {
final theme = Theme.of(context);
return Container(
padding: const EdgeInsets.all(16),
@@ -559,19 +313,11 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Row(
children: [
Text(
title,
style: TextStyle(color: theme.textTheme.bodyMedium?.color?.withValues(alpha: 0.7), fontSize: 14),
),
if (explanations != null) ...[
const Spacer(),
MetricInfoButton(title: title, explanations: explanations),
],
],
),
const SizedBox(height: 10),
Row(
children: [

View File

@@ -7,8 +7,10 @@ import 'package:sqflite_common_ffi/sqflite_ffi.dart';
import 'app.dart';
import 'core/theme/theme_provider.dart';
import 'data/repositories/session_repository.dart';
import 'services/target_detection_service.dart';
import 'services/score_calculator_service.dart';
import 'services/grouping_analyzer_service.dart';
import 'services/image_processing_service.dart';
import 'features/session/session_provider.dart';
void main() async {
@@ -30,6 +32,14 @@ void main() async {
runApp(
MultiProvider(
providers: [
Provider<ImageProcessingService>(
create: (_) => ImageProcessingService(),
),
Provider<TargetDetectionService>(
create: (context) => TargetDetectionService(
imageProcessingService: context.read<ImageProcessingService>(),
),
),
Provider<ScoreCalculatorService>(
create: (_) => ScoreCalculatorService(),
),

View File

@@ -15,32 +15,25 @@ class MainNavigationHolder extends StatefulWidget {
class _MainNavigationHolderState extends State<MainNavigationHolder> {
int _selectedIndex = 0;
// Incrémentés à chaque ouverture de l'onglet correspondant pour forcer le
// rechargement (les écrans sont gardés vivants par l'IndexedStack et ne se
// rafraîchissent pas seuls).
int _statsTick = 0;
int _historyTick = 0;
final List<Widget> _screens = [
const HomeScreen(),
const HistoryScreen(),
const StatisticsScreen(),
const WeaponListScreen(),
];
void _onItemTapped(int index) {
setState(() {
_selectedIndex = index;
if (index == 1) _historyTick++;
if (index == 2) _statsTick++;
});
}
@override
Widget build(BuildContext context) {
final screens = [
const HomeScreen(),
HistoryScreen(refreshTick: _historyTick),
StatisticsScreen(refreshTick: _statsTick),
const WeaponListScreen(),
];
return Scaffold(
body: IndexedStack(
index: _selectedIndex,
children: screens,
children: _screens,
),
bottomNavigationBar: Container(
decoration: BoxDecoration(

View File

@@ -53,8 +53,6 @@ class AiExportService {
required double targetCenterY,
required double targetRadius,
required List<Shot> shots,
int distanceMeters = 25,
String weaponName = 'Unknown',
String? apiUrl,
}) async {
try {
@@ -111,8 +109,8 @@ class AiExportService {
"device_info": deviceData,
"target_metadata": {
"type": targetType.name,
"distance_meters": distanceMeters,
"weapon": weaponName,
"distance_meters": 25, // Default/placeholder
"weapon": "Unknown", // Default/placeholder
// The backend could extract exact width/height from the image.
},
"plotting": {

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,54 @@
import 'package:google_mlkit_document_scanner/google_mlkit_document_scanner.dart';
/// Résultat du scan de document.
class DocumentScanResult {
/// Chemin de l'image redressée (de face), ou null si l'utilisateur a annulé.
final String? imagePath;
/// true si un scan a bien été produit.
bool get success => imagePath != null;
const DocumentScanResult(this.imagePath);
}
/// Service qui lance le scanner de documents Google ML Kit.
///
/// Le scanner ouvre une UI plein écran fournie par Google Play Services :
/// caméra, détection des bords de la feuille en direct, recadrage manuel des
/// 4 coins, puis renvoie l'image REDRESSÉE de face. Idéal pour une cible de
/// tir, qui est imprimée sur un carton/feuille rectangulaire.
///
/// NOTE : disponible uniquement sur Android (fonctionnalité ML Kit en bêta).
class DocumentScannerService {
/// Lance le scanner et renvoie le chemin de l'image redressée.
///
/// [pageLimit] est fixé à 1 (une seule cible par scan).
/// On désactive l'import galerie ici car la galerie est gérée séparément.
///
/// IMPORTANT : on utilise [ScannerMode.base] et NON [ScannerMode.full].
/// - `full`/`filter` appliquent des filtres "document" (noir & blanc,
/// rehaussement type photocopie) → détruit les couleurs de la cible.
/// - `base` ne fait QUE le recadrage + le redressement de perspective
/// (mise de face), en conservant l'image en couleurs réelles. C'est
/// indispensable pour pouvoir détecter ensuite les impacts.
Future<DocumentScanResult> scanTarget() async {
final options = DocumentScannerOptions(
mode: ScannerMode.base, // redressement seul, sans filtre couleur
pageLimit: 1,
isGalleryImport: false,
);
final scanner = DocumentScanner(options: options);
try {
final DocumentScanningResult result = await scanner.scanDocument();
final images = result.images;
if (images.isEmpty) {
return const DocumentScanResult(null);
}
return DocumentScanResult(images.first);
} finally {
// Libère les ressources natives du scanner.
await scanner.close();
}
}
}

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,228 @@
/// Service de détection d'impacts utilisant OpenCV.
library;
import 'dart:math' as math;
import 'package:opencv_dart/opencv_dart.dart' as cv;
/// Paramètres de détection d'impacts OpenCV
class OpenCVDetectionSettings {
/// Seuil Canny bas pour la détection de contours
final double cannyThreshold1;
/// Seuil Canny haut pour la détection de contours
final double cannyThreshold2;
/// Distance minimale entre les centres des cercles détectés
final double minDist;
/// Paramètre 1 de HoughCircles (seuil Canny interne)
final double param1;
/// Paramètre 2 de HoughCircles (seuil d'accumulation)
final double param2;
/// Rayon minimum des cercles en pixels
final int minRadius;
/// Rayon maximum des cercles en pixels
final int maxRadius;
/// Taille du flou gaussien (doit être impair)
final int blurSize;
/// Utiliser la détection de contours en plus de Hough
final bool useContourDetection;
/// Circularité minimale pour la détection par contours (0-1)
final double minCircularity;
/// Surface minimale des contours
final double minContourArea;
/// Surface maximale des contours
final double maxContourArea;
const OpenCVDetectionSettings({
this.cannyThreshold1 = 50,
this.cannyThreshold2 = 150,
this.minDist = 20,
this.param1 = 100,
this.param2 = 30,
this.minRadius = 5,
this.maxRadius = 50,
this.blurSize = 5,
this.useContourDetection = true,
this.minCircularity = 0.6,
this.minContourArea = 50,
this.maxContourArea = 5000,
});
}
/// Résultat de détection d'impact
class OpenCVDetectedImpact {
/// Position X normalisée (0-1)
final double x;
/// Position Y normalisée (0-1)
final double y;
/// Rayon en pixels
final double radius;
/// Score de confiance (0-1)
final double confidence;
/// Méthode de détection utilisée
final String method;
const OpenCVDetectedImpact({
required this.x,
required this.y,
required this.radius,
this.confidence = 1.0,
this.method = 'unknown',
});
}
/// Service de détection d'impacts utilisant OpenCV
class OpenCVImpactDetectionService {
/// Détecte les impacts dans une image en utilisant OpenCV
List<OpenCVDetectedImpact> detectImpacts(
String imagePath, {
OpenCVDetectionSettings settings = const OpenCVDetectionSettings(),
}) {
try {
final img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (img.isEmpty) return [];
final gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
// Apply blur to reduce noise
final blurKSize = (settings.blurSize, settings.blurSize);
final blurred = cv.gaussianBlur(gray, blurKSize, 2, sigmaY: 2);
final List<OpenCVDetectedImpact> detectedImpacts = [];
final circles = cv.HoughCircles(
blurred,
cv.HOUGH_GRADIENT,
1,
settings.minDist,
param1: settings.param1,
param2: settings.param2,
minRadius: settings.minRadius,
maxRadius: settings.maxRadius,
);
if (circles.rows > 0 && circles.cols > 0) {
// Mat shape: (1, N, 3) usually for HoughCircles (CV_32FC3)
// We use at<Vec3f> directly.
for (int i = 0; i < circles.cols; i++) {
final vec = circles.at<cv.Vec3f>(0, i);
final x = vec.val1;
final y = vec.val2;
final r = vec.val3;
detectedImpacts.add(
OpenCVDetectedImpact(
x: x / img.cols,
y: y / img.rows,
radius: r,
confidence: 0.8,
method: 'hough',
),
);
}
}
// 2. Contour Detection (if enabled)
if (settings.useContourDetection) {
// Canny edge detection
final edges = cv.canny(
blurred,
settings.cannyThreshold1,
settings.cannyThreshold2,
);
// Find contours
final contoursResult = cv.findContours(
edges,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final contours = contoursResult.$1;
// hierarchy is $2
for (int i = 0; i < contours.length; i++) {
final contour = contours[i];
// Filter by area
final area = cv.contourArea(contour);
if (area < settings.minContourArea ||
area > settings.maxContourArea) {
continue;
}
// Filter by circularity
final perimeter = cv.arcLength(contour, true);
if (perimeter == 0) continue;
final circularity = 4 * math.pi * area / (perimeter * perimeter);
if (circularity < settings.minCircularity) continue;
// Get bounding circle
final enclosingCircle = cv.minEnclosingCircle(contour);
final center = enclosingCircle.$1;
final radius = enclosingCircle.$2;
// Avoid duplicates (simple distance check against Hough results)
bool isDuplicate = false;
for (final existing in detectedImpacts) {
final dx = existing.x * img.cols - center.x;
final dy = existing.y * img.rows - center.y;
final dist = math.sqrt(dx * dx + dy * dy);
if (dist < radius) {
isDuplicate = true;
break;
}
}
if (!isDuplicate) {
detectedImpacts.add(
OpenCVDetectedImpact(
x: center.x / img.cols,
y: center.y / img.rows,
radius: radius,
confidence: circularity, // Use circularity as confidence
method: 'contour',
),
);
}
}
}
return detectedImpacts;
} catch (e) {
// print('OpenCV Error: $e');
return [];
}
}
/// Détecte les impacts en utilisant une image de référence
List<OpenCVDetectedImpact> detectFromReferences(
String imagePath,
List<({double x, double y})> referencePoints, {
double tolerance = 2.0,
}) {
// Basic implementation: use average color/brightness of reference points
// This is a placeholder for a more complex template matching or feature matching
// For now, we can just run the standard detection but filter results
// based on properties of the reference points (e.g. size/radius if we had it).
// Returning standard detection for now to enable the feature.
return detectImpacts(imagePath);
}
}

View File

@@ -26,34 +26,23 @@ class TargetDetectionResult {
class OpenCVTargetService {
/// Detect the main target (center and radius) from an image file
///
/// IMPORTANT : les Mat OpenCV sont de la mémoire NATIVE, invisible pour le
/// garbage collector Dart. Cette méthode est appelée en boucle (~1 s)
/// pendant l'aperçu caméra : sans dispose() explicite dans le finally, la
/// mémoire native grimpe en continu tant que l'utilisateur vise.
Future<TargetDetectionResult> detectTarget(String imagePath) async {
cv.Mat? img;
cv.Mat? gray;
cv.Mat? blurred;
cv.Mat? circles;
cv.Mat? looseCircles;
try {
// Read image
img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
final img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
if (img.isEmpty) {
return TargetDetectionResult.failure();
}
// Convert to grayscale
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
final gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
// Apply Gaussian blur to reduce noise
blurred = cv.gaussianBlur(gray, (9, 9), 2, sigmaY: 2);
final blurred = cv.gaussianBlur(gray, (9, 9), 2, sigmaY: 2);
// Detect circles using Hough Transform.
// HoughCircles returns a Mat of shape (1, N) of Vec3f (x, y, r).
circles = cv.HoughCircles(
// 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
@@ -66,9 +55,26 @@ class OpenCVTargetService {
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)
looseCircles = cv.HoughCircles(
final looseCircles = cv.HoughCircles(
blurred,
cv.HOUGH_GRADIENT,
1,
@@ -87,15 +93,8 @@ class OpenCVTargetService {
return _findBestConcentricCircles(circles, img.cols, img.rows);
} catch (e) {
// print('Error detecting target with OpenCV: $e');
return TargetDetectionResult.failure();
} finally {
// _findBestConcentricCircles a déjà extrait les données dans des listes
// Dart avant qu'on arrive ici : libérer les Mat est donc toujours sûr.
img?.dispose();
gray?.dispose();
blurred?.dispose();
circles?.dispose();
looseCircles?.dispose();
}
}

View File

@@ -119,6 +119,7 @@ class ParallelismService {
// Normalisation par la magnitude réelle (indépendant de g exact)
final double nx = gx / magnitude;
final double ny = gy / magnitude;
final double nz = gz / magnitude;
// Pitch et Roll mesurent l'inclinaison autour de chaque axe.

View File

@@ -0,0 +1,461 @@
import 'dart:math' as math;
import 'package:flutter/foundation.dart';
import '../data/models/target_type.dart';
import 'image_processing_service.dart';
import 'opencv_impact_detection_service.dart';
export 'image_processing_service.dart'
show ImpactDetectionSettings, ReferenceImpact, ImpactCharacteristics;
export 'opencv_impact_detection_service.dart'
show OpenCVDetectionSettings, OpenCVDetectedImpact;
// ============================================================================
// STRUCT ET FONCTION GLOBALE POUR LE PARALLÉLISME (THREAD SECONDAIRE)
// ============================================================================
/// Conteneur de données pour envoyer les paramètres à l'Isolate d'arrière-plan.
class DetectionPayload {
final String imagePath;
final TargetType targetType;
// On recrée les instances à l'intérieur du thread isolé car les objets ne se partagent pas entre threads.
DetectionPayload({
required this.imagePath,
required this.targetType,
});
}
/// FONCTION EXÉCUTÉE EN PARALLÈLE : Tourne sur un autre cœur du processeur.
/// L'interface graphique reste à 120 FPS et totalement fluide.
TargetDetectionResult runParallelTargetDetection(DetectionPayload payload) {
// 1. Initialisation locale des services dans le sous-thread
final imageProcessingService = ImageProcessingService();
try {
// 2. Détection de la cible principale (Calcul lourd)
final mainTarget = imageProcessingService.detectMainTarget(payload.imagePath);
double centerX = 0.5;
double centerY = 0.5;
double radius = 0.4;
if (mainTarget != null) {
centerX = mainTarget.centerX;
centerY = mainTarget.centerY;
radius = mainTarget.radius;
}
// 3. Détection des impacts (Calcul lourd)
final impacts = imageProcessingService.detectImpacts(payload.imagePath);
// 4. Calcul mathématique des scores relatifs
final detectedImpacts = impacts.map((impact) {
final score = payload.targetType == TargetType.concentric
? _staticCalculateConcentricScore(
impact.x,
impact.y,
centerX,
centerY,
radius,
)
: _staticCalculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
return TargetDetectionResult(
centerX: centerX,
centerY: centerY,
radius: radius,
impacts: detectedImpacts,
);
} catch (e) {
return TargetDetectionResult.error('Erreur de detection parallèle: $e');
}
}
// Fonctions mathématiques pures nécessaires à l'Isolate (statiques)
int _staticCalculateConcentricScore(double impactX, double impactY, double centerX, double centerY, double targetRadius) {
final dx = impactX - centerX;
final dy = impactY - centerY;
final distance = math.sqrt(dx * dx + dy * dy) / targetRadius;
if (distance <= 0.1) return 10;
if (distance <= 0.2) return 9;
if (distance <= 0.3) return 8;
if (distance <= 0.4) return 7;
if (distance <= 0.5) return 6;
if (distance <= 0.6) return 5;
if (distance <= 0.7) return 4;
if (distance <= 0.8) return 3;
if (distance <= 0.9) return 2;
if (distance <= 1.0) return 1;
return 0;
}
int _staticCalculateSilhouetteScore(double impactX, double impactY, double centerX, double centerY) {
final dx = (impactX - centerX).abs();
final dy = impactY - centerY;
if (dx > 0.15) return 0;
if (dy < -0.25) return 5;
if (dy < 0.0) return 5;
if (dy < 0.15) return 4;
if (dy < 0.35) return 3;
return 0;
}
// ============================================================================
// FIN DU BLOC DE PARALLÉLISME
// ============================================================================
class TargetDetectionResult {
final double centerX; // Relative (0-1)
final double centerY; // Relative (0-1)
final double radius; // Relative (0-1)
final List<DetectedImpactResult> impacts;
final bool success;
final String? errorMessage;
TargetDetectionResult({
required this.centerX,
required this.centerY,
required this.radius,
required this.impacts,
this.success = true,
this.errorMessage,
});
factory TargetDetectionResult.error(String message) {
return TargetDetectionResult(
centerX: 0.5,
centerY: 0.5,
radius: 0.4,
impacts: [],
success: false,
errorMessage: message,
);
}
}
class DetectedImpactResult {
final double x; // Relative (0-1)
final double y; // Relative (0-1)
final double radius; // Absolute pixels
final int suggestedScore;
DetectedImpactResult({
required this.x,
required this.y,
required this.radius,
required this.suggestedScore,
});
}
class TargetDetectionService {
final ImageProcessingService _imageProcessingService;
final OpenCVImpactDetectionService _opencvService;
TargetDetectionService({
ImageProcessingService? imageProcessingService,
OpenCVImpactDetectionService? opencvService,
}) : _imageProcessingService =
imageProcessingService ?? ImageProcessingService(),
_opencvService = opencvService ?? OpenCVImpactDetectionService();
/// Detect target and impacts from an image file ASYNCHRONOUSLY in a separate Thread.
/// CORRECTION : Utilise désormais 'compute' pour basculer en arrière-plan immédiat.
Future<TargetDetectionResult> detectTargetAsync(String imagePath, TargetType targetType) async {
final payload = DetectionPayload(imagePath: imagePath, targetType: targetType);
// Déclenche l'exécution isolée en tâche de fond
return await compute(runParallelTargetDetection, payload);
}
/// Gardée pour rétrocompatibilité synchrone si nécessaire
TargetDetectionResult detectTarget(String imagePath, TargetType targetType) {
try {
final mainTarget = _imageProcessingService.detectMainTarget(imagePath);
double centerX = 0.5;
double centerY = 0.5;
double radius = 0.4;
if (mainTarget != null) {
centerX = mainTarget.centerX;
centerY = mainTarget.centerY;
radius = mainTarget.radius;
}
final impacts = _imageProcessingService.detectImpacts(imagePath);
final detectedImpacts = impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScore(
impact.x,
impact.y,
centerX,
centerY,
radius,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
return TargetDetectionResult(
centerX: centerX,
centerY: centerY,
radius: radius,
impacts: detectedImpacts,
);
} catch (e) {
return TargetDetectionResult.error('Erreur de detection: $e');
}
}
int _calculateConcentricScore(
double impactX,
double impactY,
double centerX,
double centerY,
double targetRadius,
) {
final dx = impactX - centerX;
final dy = impactY - centerY;
final distance = math.sqrt(dx * dx + dy * dy) / targetRadius;
if (distance <= 0.1) return 10;
if (distance <= 0.2) return 9;
if (distance <= 0.3) return 8;
if (distance <= 0.4) return 7;
if (distance <= 0.5) return 6;
if (distance <= 0.6) return 5;
if (distance <= 0.7) return 4;
if (distance <= 0.8) return 3;
if (distance <= 0.9) return 2;
if (distance <= 1.0) return 1;
return 0;
}
int _calculateSilhouetteScore(
double impactX,
double impactY,
double centerX,
double centerY,
) {
final dx = (impactX - centerX).abs();
final dy = impactY - centerY;
if (dx > 0.15) return 0;
if (dy < -0.25) return 5;
if (dy < 0.0) return 5;
if (dy < 0.15) return 4;
if (dy < 0.35) return 3;
return 0;
}
List<DetectedImpactResult> detectImpactsOnly(
String imagePath,
TargetType targetType,
double centerX,
double centerY,
double radius,
int ringCount,
ImpactDetectionSettings settings,
) {
try {
final impacts = _imageProcessingService.detectImpactsWithSettings(
imagePath,
settings,
);
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
} catch (e) {
return [];
}
}
int _calculateConcentricScoreWithRings(
double impactX,
double impactY,
double centerX,
double centerY,
double targetRadius,
int ringCount,
) {
final dx = impactX - centerX;
final dy = impactY - centerY;
final distance = math.sqrt(dx * dx + dy * dy) / targetRadius;
for (int i = 0; i < ringCount; i++) {
final zoneRadius = (i + 1) / ringCount;
if (distance <= zoneRadius) {
return 10 - i;
}
}
return 0;
}
ImpactCharacteristics? analyzeReferenceImpacts(
String imagePath,
List<ReferenceImpact> references,
) {
return _imageProcessingService.analyzeReferenceImpacts(
imagePath,
references,
);
}
List<DetectedImpactResult> detectImpactsFromReferences(
String imagePath,
TargetType targetType,
double centerX,
double centerY,
double radius,
int ringCount,
ImpactCharacteristics characteristics, {
double tolerance = 2.0,
}) {
try {
final impacts = _imageProcessingService.detectImpactsFromReferences(
imagePath,
characteristics,
tolerance: tolerance,
);
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
} catch (e) {
return [];
}
}
List<DetectedImpactResult> detectImpactsWithOpenCV(
String imagePath,
TargetType targetType,
double centerX,
double centerY,
double radius,
int ringCount, {
OpenCVDetectionSettings? settings,
}) {
try {
final impacts = _opencvService.detectImpacts(
imagePath,
settings: settings ?? const OpenCVDetectionSettings(),
);
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
} catch (e) {
debugPrint('Erreur détection OpenCV: $e');
return [];
}
}
List<DetectedImpactResult> detectImpactsWithOpenCVFromReferences(
String imagePath,
TargetType targetType,
double centerX,
double centerY,
double radius,
int ringCount,
List<ReferenceImpact> references, {
double tolerance = 2.0,
}) {
try {
final refPoints = references.map((r) => (x: r.x, y: r.y)).toList();
final impacts = _opencvService.detectFromReferences(
imagePath,
refPoints,
tolerance: tolerance,
);
return impacts.map((impact) {
final score = targetType == TargetType.concentric
? _calculateConcentricScoreWithRings(
impact.x,
impact.y,
centerX,
centerY,
radius,
ringCount,
)
: _calculateSilhouetteScore(impact.x, impact.y, centerX, centerY);
return DetectedImpactResult(
x: impact.x,
y: impact.y,
radius: impact.radius,
suggestedScore: score,
);
}).toList();
} catch (e) {
debugPrint('Erreur détection OpenCV depuis références: $e');
return [];
}
}
}

View File

@@ -0,0 +1,259 @@
import 'dart:async';
import 'dart:math' as math;
import 'package:flutter/foundation.dart';
import 'package:opencv_dart/opencv_dart.dart' as cv;
/// Résultat d'une tentative de redressement de cible.
class RectifyResult {
/// Chemin du fichier image redressé (ou original si échec).
final String outputPath;
/// true si une cible a été détectée et redressée, false si on a renvoyé
/// l'image d'origine sans transformation.
final bool rectified;
/// Angle d'inclinaison estimé de la cible AVANT redressement, en degrés.
/// (0 = déjà de face). Utile pour informer l'utilisateur.
final double estimatedTiltDegrees;
/// Message de diagnostic (utile pour debug / affichage).
final String message;
const RectifyResult({
required this.outputPath,
required this.rectified,
required this.estimatedTiltDegrees,
required this.message,
});
}
/// Service qui redresse une cible RONDE (cercles concentriques) photographiée
/// de biais, en la ramenant parfaitement de face.
///
/// Principe :
/// 1. Détecter le plus grand contour ~circulaire de l'image.
/// 2. Ajuster une ELLIPSE sur ce contour (fitEllipse).
/// 3. Un cercle vu en perspective devient une ellipse : on calcule la
/// transformation de perspective qui remappe cette ellipse vers un
/// CERCLE parfait, et on l'applique à toute l'image.
/// 4. La cible apparaît alors de face.
///
/// L'image résultat est carrée et centrée sur la cible.
class TargetRectifyService {
/// Taille (en pixels) du côté de l'image carrée de sortie.
final int outputSize;
/// Marge autour de la cible dans l'image de sortie (1.0 = cible pile au bord,
/// 1.3 = 30 % de marge autour). Garde un peu de contexte.
final double marginFactor;
/// En dessous de cet écart d'axes (ratio petit/grand axe proche de 1),
/// la cible est considérée déjà de face → pas de warp inutile.
final double minTiltRatioToRectify;
TargetRectifyService({
this.outputSize = 1024,
this.marginFactor = 1.25,
this.minTiltRatioToRectify = 0.985,
});
/// Redresse l'image située à [inputPath]. Écrit le résultat dans
/// [outputPath] et renvoie un [RectifyResult].
///
/// Ne bloque jamais : en cas d'échec de détection, renvoie l'image
/// d'origine (rectified = false) pour ne pas perdre la photo du tireur.
Future<RectifyResult> rectify({
required String inputPath,
required String outputPath,
}) async {
cv.Mat? src;
cv.Mat? gray;
cv.Mat? blurred;
cv.Mat? edges;
try {
src = cv.imread(inputPath, flags: cv.IMREAD_COLOR);
if (src.isEmpty) {
return RectifyResult(
outputPath: inputPath,
rectified: false,
estimatedTiltDegrees: 0,
message: 'Image illisible',
);
}
// ── 1. Prétraitement ────────────────────────────────────────────────
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY);
blurred = cv.gaussianBlur(gray, (5, 5), 2, sigmaY: 2);
edges = cv.canny(blurred, 60, 160);
// Dilatation légère pour fermer les contours brisés
final cv.Mat kernel = cv.getStructuringElement(
cv.MORPH_ELLIPSE,
(3, 3),
);
final cv.Mat dilated = cv.dilate(edges, kernel);
// ── 2. Recherche du meilleur contour elliptique ──────────────────────
final (contours, _) = cv.findContours(
dilated,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_SIMPLE,
);
final double imgArea = (src.width * src.height).toDouble();
cv.RotatedRect? bestEllipse;
double bestScore = 0;
for (int i = 0; i < contours.length; i++) {
final c = contours[i];
if (c.length < 5) continue; // fitEllipse exige >= 5 points
final double area = cv.contourArea(c);
// On ignore les contours minuscules et ceux qui couvrent presque tout
if (area < imgArea * 0.03 || area > imgArea * 0.97) continue;
final cv.RotatedRect e = cv.fitEllipse(c);
final ep = e.points; // 4 sommets
if (ep.length < 4) continue;
final double ecx = (ep[0].x + ep[1].x + ep[2].x + ep[3].x) / 4.0;
final double ecy = (ep[0].y + ep[1].y + ep[2].y + ep[3].y) / 4.0;
final double mAx = (ep[0].x + ep[1].x) / 2.0;
final double mAy = (ep[0].y + ep[1].y) / 2.0;
final double mBx = (ep[1].x + ep[2].x) / 2.0;
final double mBy = (ep[1].y + ep[2].y) / 2.0;
final double w =
2 * math.sqrt(math.pow(mAx - ecx, 2) + math.pow(mAy - ecy, 2));
final double h =
2 * math.sqrt(math.pow(mBx - ecx, 2) + math.pow(mBy - ecy, 2));
if (w <= 1 || h <= 1) continue;
// À quel point le contour ressemble-t-il vraiment à son ellipse ?
// On compare l'aire du contour à l'aire de l'ellipse ajustée.
final double ellipseArea = math.pi * (w / 2) * (h / 2);
if (ellipseArea <= 0) continue;
final double fitRatio = area / ellipseArea; // ~1 si bon ajustement
if (fitRatio < 0.7 || fitRatio > 1.3) continue;
// Score = taille de l'ellipse (on veut la cible la plus grande)
final double score = ellipseArea;
if (score > bestScore) {
bestScore = score;
bestEllipse = e;
}
}
if (bestEllipse == null) {
return RectifyResult(
outputPath: inputPath,
rectified: false,
estimatedTiltDegrees: 0,
message: 'Aucune cible circulaire détectée',
);
}
// ── 3. Extraire les 4 sommets de l'ellipse (robuste à la version d'API) ─
// RotatedRect.points renvoie les 4 coins de la boîte englobant l'ellipse.
// On en dérive nous-mêmes le centre, les demi-axes et l'orientation, ce
// qui évite de dépendre de la forme exacte de `.size` / `.center`
// (record vs objet) qui varie selon les versions d'opencv_dart.
final pts = bestEllipse.points; // List<Point2f> de 4 sommets
double px(int i) => pts[i].x;
double py(int i) => pts[i].y;
// Centre = moyenne des 4 sommets
final double cx = (px(0) + px(1) + px(2) + px(3)) / 4.0;
final double cy = (py(0) + py(1) + py(2) + py(3)) / 4.0;
// Milieux de deux côtés adjacents → extrémités des deux demi-axes
// Côté 0-1 et côté 1-2 (ordre des sommets d'un RotatedRect)
final double m01x = (px(0) + px(1)) / 2.0;
final double m01y = (py(0) + py(1)) / 2.0;
final double m12x = (px(1) + px(2)) / 2.0;
final double m12y = (py(1) + py(2)) / 2.0;
// Demi-axes = distance centre → milieu de chaque côté
final double axisA =
math.sqrt(math.pow(m01x - cx, 2) + math.pow(m01y - cy, 2));
final double axisB =
math.sqrt(math.pow(m12x - cx, 2) + math.pow(m12y - cy, 2));
final double majorAxis = math.max(axisA, axisB);
final double minorAxis = math.min(axisA, axisB);
if (majorAxis <= 1) {
return RectifyResult(
outputPath: inputPath,
rectified: false,
estimatedTiltDegrees: 0,
message: 'Ellipse dégénérée',
);
}
final double axisRatio = minorAxis / majorAxis; // 1 = cercle parfait
final double tiltDeg =
math.acos(axisRatio.clamp(0.0, 1.0)) * (180.0 / math.pi);
// Déjà quasiment de face → on ne touche pas (évite le flou inutile)
if (axisRatio >= minTiltRatioToRectify) {
cv.imwrite(outputPath, src);
return RectifyResult(
outputPath: outputPath,
rectified: false,
estimatedTiltDegrees: tiltDeg,
message: 'Cible déjà de face',
);
}
// ── 4. Construire la transformation de perspective ────────────────────
// Source : extrémités des deux axes de l'ellipse (4 points).
// Destination : extrémités des axes d'un cercle parfait centré.
// On obtient les extrémités en prolongeant centre→milieu-de-côté.
final srcPts = cv.VecPoint.fromList([
cv.Point((cx + (m01x - cx)).round(), (cy + (m01y - cy)).round()),
cv.Point((cx - (m01x - cx)).round(), (cy - (m01y - cy)).round()),
cv.Point((cx + (m12x - cx)).round(), (cy + (m12y - cy)).round()),
cv.Point((cx - (m12x - cx)).round(), (cy - (m12y - cy)).round()),
]);
// Cible : cercle parfait centré, rayon R, dans une image carrée.
// L'axe "A" (m01) devient l'axe horizontal, l'axe "B" (m12) le vertical.
final double out = outputSize.toDouble();
final double center = out / 2;
final double radius = (out / 2) / marginFactor;
final dstPts = cv.VecPoint.fromList([
cv.Point((center + radius).round(), center.round()),
cv.Point((center - radius).round(), center.round()),
cv.Point(center.round(), (center + radius).round()),
cv.Point(center.round(), (center - radius).round()),
]);
final cv.Mat transform = cv.getPerspectiveTransform(srcPts, dstPts);
final cv.Mat warped = cv.warpPerspective(
src,
transform,
(outputSize, outputSize),
flags: cv.INTER_LINEAR,
borderMode: cv.BORDER_CONSTANT,
);
cv.imwrite(outputPath, warped);
return RectifyResult(
outputPath: outputPath,
rectified: true,
estimatedTiltDegrees: tiltDeg,
message: 'Cible redressée (inclinaison ${tiltDeg.toStringAsFixed(1)}°)',
);
} catch (e) {
debugPrint('TargetRectify erreur: $e');
// En cas de pépin, on renvoie l'original pour ne jamais perdre la photo
return RectifyResult(
outputPath: inputPath,
rectified: false,
estimatedTiltDegrees: 0,
message: 'Erreur de traitement: $e',
);
}
}
}

View File

@@ -293,6 +293,30 @@ packages:
url: "https://pub.dev"
source: hosted
version: "2.1.3"
google_mlkit_commons:
dependency: transitive
description:
name: google_mlkit_commons
sha256: "3e69fea4211727732cc385104e675ad1e40b29f12edd492ee52fa108423a6124"
url: "https://pub.dev"
source: hosted
version: "0.11.1"
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"
google_mlkit_object_detection:
dependency: "direct main"
description:
name: google_mlkit_object_detection
sha256: "9dd35886972e18747e22098f8ebee78d30716a99a789bb2e3a65a24229e031e7"
url: "https://pub.dev"
source: hosted
version: "0.15.1"
hooks:
dependency: transitive
description:

View File

@@ -1,5 +1,5 @@
name: bully
description: "Application d'analyse de cibles de tir : capture, centrage, plotting manuel des impacts, scores et statistiques."
description: "A new Flutter project."
# The following line prevents the package from being accidentally published to
# pub.dev using `flutter pub publish`. This is preferred for private packages.
publish_to: 'none' # Remove this line if you wish to publish to pub.dev
@@ -38,9 +38,11 @@ dependencies:
cupertino_icons: ^1.0.8
sensors_plus: ^4.0.2
opencv_dart: ^2.1.0
google_mlkit_object_detection: ^0.15.0
# Image capture from camera/gallery
image_picker: ^1.2.1
google_mlkit_document_scanner: ^0.2.0
# Local database for history
sqflite: ^2.3.2
@@ -71,6 +73,9 @@ dependencies:
crypto: ^3.0.7
camera: ^0.12.0+1
# Machine Learning for YOLOv8
# tflite_flutter: ^0.11.0
dev_dependencies:
flutter_test:
sdk: flutter
@@ -95,6 +100,7 @@ flutter:
# To add assets to your application, add an assets section, like this:
# assets:
# - assets/models/yolov8n_32.tflite
# - images/a_dot_burr.jpeg
# - images/a_dot_ham.jpeg

View File

@@ -1,60 +0,0 @@
import 'package:flutter_test/flutter_test.dart';
import 'package:bully/data/models/shot.dart';
import 'package:bully/services/grouping_analyzer_service.dart';
Shot _shot(String id, double x, double y) =>
Shot(id: id, x: x, y: y, score: 0, analysisId: '');
void main() {
final service = GroupingAnalyzerService();
group('analyzeGrouping', () {
test('liste vide → résultat vide', () {
final result = service.analyzeGrouping([]);
expect(result.shotCount, 0);
expect(result.diameter, 0);
});
test('un seul tir → diamètre nul, centre sur le tir', () {
final result = service.analyzeGrouping([_shot('a', 0.3, 0.7)]);
expect(result.shotCount, 1);
expect(result.centerX, 0.3);
expect(result.centerY, 0.7);
expect(result.diameter, 0);
});
test('deux tirs → centroïde au milieu et diamètre = écart', () {
final result = service.analyzeGrouping([
_shot('a', 0.4, 0.5),
_shot('b', 0.6, 0.5),
]);
expect(result.centerX, closeTo(0.5, 1e-9));
expect(result.centerY, closeTo(0.5, 1e-9));
expect(result.diameter, closeTo(0.2, 1e-9));
expect(result.meanRadius, closeTo(0.1, 1e-9));
// Deux tirs équidistants du centroïde → dispersion nulle.
expect(result.standardDeviation, closeTo(0.0, 1e-9));
});
test('le diamètre est la plus grande distance entre deux tirs', () {
final result = service.analyzeGrouping([
_shot('a', 0.2, 0.5),
_shot('b', 0.5, 0.5),
_shot('c', 0.8, 0.5),
]);
expect(result.diameter, closeTo(0.6, 1e-9));
});
});
group('getOffsetDescription', () {
test('décalage négligeable → Centre', () {
expect(service.getOffsetDescription(0.01, -0.01), 'Centre');
});
test('décalage combiné → direction composée', () {
expect(service.getOffsetDescription(0.1, -0.1), 'Haut-Droite');
});
});
}

View File

@@ -1,110 +0,0 @@
import 'package:flutter_test/flutter_test.dart';
import 'package:bully/data/models/shot.dart';
import 'package:bully/data/models/target_type.dart';
import 'package:bully/services/score_calculator_service.dart';
void main() {
final service = ScoreCalculatorService();
group('calculateConcentricScore', () {
test('un tir au centre exact vaut 10', () {
final score = service.calculateConcentricScore(
shotX: 0.5,
shotY: 0.5,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
);
expect(score, 10);
});
test('un tir hors de la cible vaut 0', () {
final score = service.calculateConcentricScore(
shotX: 0.95,
shotY: 0.5,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
);
expect(score, 0);
});
test('un tir à mi-rayon tombe dans la zone attendue', () {
// Distance normalisée ≈ 0.475 → 5e anneau (zone 0.5) → score 6.
final score = service.calculateConcentricScore(
shotX: 0.5,
shotY: 0.69,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
);
expect(score, 6);
});
test('le ratio d\'image est pris en compte (image paysage 2:1)', () {
// dx = 0.15 mais scaled ×2 → distance normalisée 0.75 → score 3.
final score = service.calculateConcentricScore(
shotX: 0.65,
shotY: 0.5,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
imageAspectRatio: 2.0,
);
expect(score, 3);
});
test('les rayons d\'anneaux personnalisés sont respectés', () {
// Distance normalisée 0.3 avec anneaux [0.2, 0.5, 1.0] → 2e anneau → 9.
final score = service.calculateConcentricScore(
shotX: 0.5,
shotY: 0.62,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
ringCount: 3,
ringRadii: [0.2, 0.5, 1.0],
);
expect(score, 9);
});
});
group('calculateScores', () {
test('agrège le total, le max possible et le pourcentage', () {
final shots = [
Shot(id: 'a', x: 0.5, y: 0.5, score: 0, analysisId: ''), // centre → 10
Shot(id: 'b', x: 0.95, y: 0.5, score: 0, analysisId: ''), // dehors → 0
];
final result = service.calculateScores(
shots: shots,
targetType: TargetType.concentric,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
);
expect(result.totalScore, 10);
expect(result.maxPossibleScore, 20);
expect(result.percentage, closeTo(50.0, 0.001));
expect(result.shotCount, 2);
expect(result.scoreDistribution[10], 1);
expect(result.scoreDistribution[0], 1);
});
test('une liste vide donne un résultat neutre', () {
final result = service.calculateScores(
shots: [],
targetType: TargetType.concentric,
targetCenterX: 0.5,
targetCenterY: 0.5,
targetRadius: 0.4,
);
expect(result.totalScore, 0);
expect(result.maxPossibleScore, 0);
expect(result.percentage, 0.0);
});
});
}

View File

@@ -1,32 +1,20 @@
// Test de fumée sur un widget pur (sans providers ni base de données).
// This is a basic Flutter widget test.
//
// Le montage complet de BullyApp exige les providers globaux et une base
// SQLite initialisée ; pour un test widget rapide et stable, on valide ici
// le rendu d'un composant autonome.
// To perform an interaction with a widget in your test, use the WidgetTester
// utility in the flutter_test package. For example, you can send tap and scroll
// gestures. You can also use WidgetTester to find child widgets in the widget
// tree, read text, and verify that the values of widget properties are correct.
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
import 'package:bully/features/home/widgets/stats_card.dart';
import 'package:bully/app.dart';
void main() {
testWidgets('StatsCard affiche le titre, la valeur et l\'icône',
(WidgetTester tester) async {
await tester.pumpWidget(
const MaterialApp(
home: Scaffold(
body: StatsCard(
icon: Icons.gps_fixed,
title: 'Tirs',
value: '42',
color: Colors.blue,
),
),
),
);
testWidgets('App loads correctly', (WidgetTester tester) async {
// Build our app and trigger a frame.
await tester.pumpWidget(const BullyApp());
expect(find.text('Tirs'), findsOneWidget);
expect(find.text('42'), findsOneWidget);
expect(find.byIcon(Icons.gps_fixed), findsOneWidget);
// Verify that the app title is displayed.
expect(find.text('Bully'), findsOneWidget);
});
}

View File

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

View File

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

View File

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