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19
CLAUDE.md
19
CLAUDE.md
@@ -41,10 +41,12 @@ flutter test --coverage
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## Features
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||||
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### Analyse de cibles de tir
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### Capture de cibles de tir
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- Support de cibles concentriques (anneaux) et silhouettes
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- Chargement d'images de cibles depuis la galerie ou la caméra
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- Détection automatique du centre et du rayon de la cible
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- Aperçu caméra avec aide au cadrage : détection OpenCV de la cible (mire)
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et indicateur de parallélisme par accéléromètre (pitch/roll)
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- Écran de centrage/recadrage : rotation fine, déplacement pixel par pixel
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||||
|
||||
### Calibration des cibles
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- Ajustement manuel du centre, du rayon et du nombre d'anneaux (1-10)
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@@ -52,14 +54,11 @@ flutter test --coverage
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- Slider global pour redimensionner tous les anneaux proportionnellement
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- Visualisation en temps réel des zones de score
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||||
|
||||
### Détection d'impacts
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||||
- **Ajout manuel** : cliquer sur l'image pour placer un impact
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||||
- **Détection automatique** : algorithme de détection de blobs avec paramètres ajustables
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||||
- Seuil de luminosité
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||||
- Taille min/max des impacts
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||||
- Circularité minimale
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||||
- Ratio de remplissage (distingue les trous pleins des cercles vides)
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||||
- **Détection par références** : sélectionner 2-4 impacts manuellement, l'algorithme apprend leurs caractéristiques et détecte les impacts similaires
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||||
### Placement des impacts
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||||
- **Éditeur d'impacts plein écran** : tap pour ajouter, tap sur un impact pour
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l'éditer (score/suppression), appui long pour déplacer, pincer pour zoomer
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- Le placement est entièrement manuel ; le bouton ↻ de l'écran de plotting
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efface tous les impacts sans toucher à la calibration
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### Calcul des scores
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- Score automatique basé sur la position de l'impact dans les zones
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@@ -1,31 +0,0 @@
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Analyzing bully...
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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
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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
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||||
warning - The declaration '_showAddShotHint' isn't referenced - lib\features\analysis\analysis_screen.dart:1083:8 - unused_element
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warning - The declaration '_showAutoDetectDialog' isn't referenced - lib\features\analysis\analysis_screen.dart:1120:8 - unused_element
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warning - Unused import: 'widgets/target_type_selector.dart' - lib\features\capture\capture_screen.dart:16:8 - unused_import
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info - The private field _selectedType could be 'final' - lib\features\capture\capture_screen.dart:28:14 - prefer_final_fields
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||||
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
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warning - The declaration '_buildLegendItem' isn't referenced - lib\features\statistics\statistics_screen.dart:309:10 - unused_element
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info - Unnecessary use of string interpolation - lib\features\statistics\statistics_screen.dart:408:15 - unnecessary_string_interpolations
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:192:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:239:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:246:9 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:278:9 - avoid_print
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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:292:11 - 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:332:7 - 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:683:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:725:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:736:7 - avoid_print
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warning - The declaration '_detectDarkSpotsAdaptive' isn't referenced - lib\services\image_processing_service.dart:780:15 - unused_element
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info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:104:5 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\opencv_impact_detection_service.dart:116:5 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:297:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\target_detection_service.dart:342:7 - avoid_print
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27 issues found. (ran in 1.9s)
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@@ -1,37 +0,0 @@
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Analyzing bully...
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info - Don't invoke 'print' in production code - lib\features\analysis\analysis_provider.dart:553:7 - avoid_print
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info - The private field _selectedType could be 'final' - lib\features\capture\capture_screen.dart:27:14 - prefer_final_fields
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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
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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
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:639:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:764:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:825:9 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:953:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1015:9 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\distortion_correction_service.dart:1063:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:192:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:239:7 - avoid_print
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info - Don't invoke 'print' in production code - lib\services\image_processing_service.dart:246:9 - avoid_print
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||||
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:292:11 - avoid_print
|
||||
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: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
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||||
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
|
||||
|
||||
@@ -1,38 +0,0 @@
|
||||
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
|
||||
|
||||
4
backendia/.gitignore
vendored
4
backendia/.gitignore
vendored
@@ -13,8 +13,7 @@ dashboard/out/
|
||||
.env.test.local
|
||||
.env.production.local
|
||||
|
||||
# Database
|
||||
backendia/uploads/data/database.sqlite
|
||||
# Database (contient des données utilisateurs — jamais dans git)
|
||||
*.sqlite
|
||||
*.sqlite-journal
|
||||
|
||||
@@ -23,7 +22,6 @@ uploads/images/*
|
||||
!uploads/images/.gitkeep
|
||||
uploads/data/*
|
||||
!uploads/data/.gitkeep
|
||||
!uploads/data/database.sqlite
|
||||
exports/*
|
||||
!exports/.gitkeep
|
||||
|
||||
|
||||
@@ -1,116 +0,0 @@
|
||||
{
|
||||
"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
|
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},
|
||||
{
|
||||
"norm_x": 0.9,
|
||||
"norm_y": 0.09999999999999998
|
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},
|
||||
{
|
||||
"norm_x": 0.9,
|
||||
"norm_y": 0.9
|
||||
},
|
||||
{
|
||||
"norm_x": 0.09999999999999998,
|
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"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": {
|
||||
"norm_x": 0.6296079282407407,
|
||||
"norm_y": 0.4203152126736111
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"label": "bullet_hole",
|
||||
"score": 9,
|
||||
"coords": {
|
||||
"norm_x": 0.46386718749999994,
|
||||
"norm_y": 0.48046875
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
"label": "bullet_hole",
|
||||
"score": 6,
|
||||
"coords": {
|
||||
"norm_x": 0.3379521122685185,
|
||||
"norm_y": 0.4397786458333333
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,116 +0,0 @@
|
||||
{
|
||||
"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
|
||||
},
|
||||
{
|
||||
"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": 0.3934941044560185,
|
||||
"norm_y": 0.665676540798611
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"label": "bullet_hole",
|
||||
"score": 5,
|
||||
"coords": {
|
||||
"norm_x": 0.6055302372685185,
|
||||
"norm_y": 0.6953124999999999
|
||||
}
|
||||
},
|
||||
{
|
||||
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||||
@@ -1,44 +0,0 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
@@ -1,144 +0,0 @@
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||||
{
|
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
@@ -1,117 +0,0 @@
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||||
{
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||||
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||||
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||||
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||||
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||||
@@ -1,117 +0,0 @@
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||||
{
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -1,180 +0,0 @@
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||||
{
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{
|
||||
"id": 2,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
{
|
||||
"id": 3,
|
||||
"label": "bullet_hole",
|
||||
"score": 6,
|
||||
"coords": {
|
||||
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|
||||
"norm_y": 0.529568142361111
|
||||
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|
||||
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|
||||
{
|
||||
"id": 4,
|
||||
"label": "bullet_hole",
|
||||
"score": 6,
|
||||
"coords": {
|
||||
"norm_x": 0.31570457175925926,
|
||||
"norm_y": 0.4416097005208333
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||||
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|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"label": "bullet_hole",
|
||||
"score": 4,
|
||||
"coords": {
|
||||
"norm_x": 0.31570457175925926,
|
||||
"norm_y": 0.34252929687499994
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"label": "bullet_hole",
|
||||
"score": 3,
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
{
|
||||
"id": 8,
|
||||
"label": "bullet_hole",
|
||||
"score": 3,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
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|
||||
"score": 5,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"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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|
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|
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|
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|
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|
Before Width: | Height: | Size: 106 KiB |
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|
Before Width: | Height: | Size: 107 KiB |
@@ -1 +0,0 @@
|
||||
# Keep directory structure
|
||||
@@ -1,270 +0,0 @@
|
||||
{
|
||||
"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
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||||
}
|
||||
},
|
||||
{
|
||||
"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,
|
||||
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|
||||
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|
||||
"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,
|
||||
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|
||||
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|
||||
"norm_y": 0.2360568576388889
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 18,
|
||||
"label": "bullet_hole",
|
||||
"score": 4,
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
{
|
||||
"id": 19,
|
||||
"label": "bullet_hole",
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
},
|
||||
{
|
||||
"id": 20,
|
||||
"label": "bullet_hole",
|
||||
"score": 9,
|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 21,
|
||||
"label": "bullet_hole",
|
||||
"score": 7,
|
||||
"coords": {
|
||||
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|
||||
"norm_y": 0.43509928385416663
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 22,
|
||||
"label": "bullet_hole",
|
||||
"score": 5,
|
||||
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|
||||
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|
||||
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||||
}
|
||||
},
|
||||
{
|
||||
"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
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1 +0,0 @@
|
||||
# Keep directory structure
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 105 KiB |
Binary file not shown.
Binary file not shown.
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0
backendia/uploads/data/.gitkeep
Normal file
0
backendia/uploads/data/.gitkeep
Normal file
Binary file not shown.
@@ -1,90 +0,0 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
0
backendia/uploads/images/.gitkeep
Normal file
0
backendia/uploads/images/.gitkeep
Normal file
Binary file not shown.
|
Before Width: | Height: | Size: 107 KiB |
@@ -380,17 +380,71 @@ class DatabaseHelper {
|
||||
limit: limit,
|
||||
offset: offset,
|
||||
);
|
||||
if (sessionMaps.isEmpty) return [];
|
||||
|
||||
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);
|
||||
}
|
||||
// 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));
|
||||
}
|
||||
|
||||
return sessions;
|
||||
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;
|
||||
}
|
||||
|
||||
Future<int> deleteSession(String id) async {
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
/// Gestionnaire d'état pour l'analyse des cibles (ChangeNotifier).
|
||||
///
|
||||
/// 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.
|
||||
/// Gère le workflow complet d'analyse : chargement d'image, gestion des
|
||||
/// impacts placés manuellement, calcul des scores, analyse de groupement
|
||||
/// et sauvegarde des sessions.
|
||||
library;
|
||||
|
||||
import 'dart:io';
|
||||
@@ -13,37 +13,25 @@ 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,
|
||||
DistortionCorrectionService? distortionService,
|
||||
OpenCVTargetService? opencvTargetService,
|
||||
}) : _detectionService = detectionService,
|
||||
_scoreCalculatorService = scoreCalculatorService,
|
||||
}) : _scoreCalculatorService = scoreCalculatorService,
|
||||
_groupingAnalyzerService = groupingAnalyzerService,
|
||||
_sessionRepository = sessionRepository,
|
||||
_distortionService = distortionService ?? DistortionCorrectionService(),
|
||||
_opencvTargetService = opencvTargetService ?? OpenCVTargetService();
|
||||
_sessionRepository = sessionRepository;
|
||||
|
||||
AnalysisState _state = AnalysisState.initial;
|
||||
String? _errorMessage;
|
||||
@@ -53,7 +41,7 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
// AJOUT PROTECTION DU PLOTTING : Stockage permanent de la rotation du Crop
|
||||
double _cropRotation = 0.0;
|
||||
|
||||
// Target detection results
|
||||
// Target calibration
|
||||
double _targetCenterX = 0.5;
|
||||
double _targetCenterY = 0.5;
|
||||
double _targetRadius = 0.4;
|
||||
@@ -71,15 +59,6 @@ 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;
|
||||
@@ -100,21 +79,6 @@ 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) {
|
||||
@@ -122,16 +86,13 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
notifyListeners();
|
||||
}
|
||||
|
||||
/// 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.
|
||||
/// Charge l'image et initialise les paramètres de cible par défaut.
|
||||
/// Le placement des impacts et la calibration se font ensuite manuellement.
|
||||
Future<void> analyzeImage(
|
||||
String imagePath,
|
||||
TargetType targetType, {
|
||||
bool autoAnalyze = true,
|
||||
Offset? manualCenter,
|
||||
}) async {
|
||||
String imagePath,
|
||||
TargetType targetType, {
|
||||
Offset? manualCenter,
|
||||
}) async {
|
||||
_state = AnalysisState.loading;
|
||||
_imagePath = imagePath;
|
||||
_targetType = targetType;
|
||||
@@ -147,54 +108,12 @@ 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;
|
||||
_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();
|
||||
_shots = [];
|
||||
|
||||
_state = AnalysisState.success;
|
||||
notifyListeners();
|
||||
@@ -216,22 +135,18 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
notifyListeners();
|
||||
}
|
||||
|
||||
/// Remove a shot
|
||||
void removeShot(String shotId) {
|
||||
_shots.removeWhere((shot) => shot.id == shotId);
|
||||
/// 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();
|
||||
_recalculateScores();
|
||||
_recalculateGrouping();
|
||||
notifyListeners();
|
||||
}
|
||||
|
||||
/// 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);
|
||||
|
||||
/// Remove a shot
|
||||
void removeShot(String shotId) {
|
||||
_shots.removeWhere((shot) => shot.id == shotId);
|
||||
_recalculateScores();
|
||||
_recalculateGrouping();
|
||||
notifyListeners();
|
||||
@@ -247,276 +162,17 @@ 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,
|
||||
double centerY,
|
||||
double innerRadius,
|
||||
double radius, {
|
||||
int? ringCount,
|
||||
List<double>? ringRadii,
|
||||
double zoomScale = 1.0,
|
||||
Offset offset = Offset.zero,
|
||||
}) {
|
||||
double centerX,
|
||||
double centerY,
|
||||
double innerRadius,
|
||||
double radius, {
|
||||
int? ringCount,
|
||||
List<double>? ringRadii,
|
||||
double zoomScale = 1.0,
|
||||
Offset offset = Offset.zero,
|
||||
}) {
|
||||
_targetCenterX = (centerX - offset.dx) / zoomScale;
|
||||
_targetCenterY = (centerY - offset.dy) / zoomScale;
|
||||
_targetRadius = radius / zoomScale;
|
||||
@@ -539,118 +195,6 @@ 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(
|
||||
@@ -694,8 +238,14 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
_groupingResult = _groupingAnalyzerService.analyzeGrouping(_shots);
|
||||
}
|
||||
|
||||
/// Exporte l'image et le json vers le backend IA
|
||||
Future<bool> exportToAiBackend() async {
|
||||
/// 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 {
|
||||
if (_imagePath == null || _targetType == null) {
|
||||
_errorMessage = "Impossible d'export : image ou type de cible manquant.";
|
||||
notifyListeners();
|
||||
@@ -709,12 +259,14 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
|
||||
final success = await service.exportData(
|
||||
imagePath: _imagePath!,
|
||||
sessionId: 'export',
|
||||
sessionId: sessionId ?? 'export',
|
||||
targetType: _targetType!,
|
||||
targetCenterX: _targetCenterX,
|
||||
targetCenterY: _targetCenterY,
|
||||
targetRadius: _targetRadius,
|
||||
shots: _shots,
|
||||
distanceMeters: distance ?? 25,
|
||||
weaponName: weapon ?? 'Unknown',
|
||||
);
|
||||
|
||||
_state = AnalysisState.success;
|
||||
@@ -807,11 +359,6 @@ class AnalysisProvider extends ChangeNotifier {
|
||||
_shots = [];
|
||||
_scoreResult = null;
|
||||
_groupingResult = null;
|
||||
_referenceImpacts = [];
|
||||
_learnedCharacteristics = null;
|
||||
_distortionCorrectionEnabled = false;
|
||||
_distortionParams = null;
|
||||
_correctedImagePath = null;
|
||||
notifyListeners();
|
||||
}
|
||||
|
||||
|
||||
@@ -12,11 +12,10 @@ 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';
|
||||
@@ -26,6 +25,7 @@ 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;
|
||||
@@ -60,7 +60,6 @@ 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>(),
|
||||
@@ -72,7 +71,6 @@ class AnalysisScreen extends StatelessWidget {
|
||||
p.analyzeImage(
|
||||
imagePath,
|
||||
targetType,
|
||||
autoAnalyze: false,
|
||||
manualCenter: manualCenterOffset,
|
||||
);
|
||||
return p;
|
||||
@@ -110,7 +108,6 @@ 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();
|
||||
@@ -191,7 +188,6 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
|
||||
if (validated == true) {
|
||||
setState(() {
|
||||
_isCalibrating = false;
|
||||
_isSelectingReferences = false;
|
||||
});
|
||||
} else {
|
||||
_enterCalibration();
|
||||
@@ -249,13 +245,66 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
|
||||
},
|
||||
),
|
||||
actions: [
|
||||
if (!_isCalibrating && !_isSelectingReferences)
|
||||
// Remise à zéro des impacts : efface tous les impacts en un clic,
|
||||
// sans modifier la calibration (centre, rayon, anneaux).
|
||||
if (!_isCalibrating)
|
||||
IconButton(
|
||||
icon: const Icon(Icons.refresh),
|
||||
onPressed: () => provider.analyzeImage(
|
||||
context.read<AnalysisProvider>().imagePath!,
|
||||
context.read<AnalysisProvider>().targetType!,
|
||||
),
|
||||
tooltip: 'Effacer tous les impacts',
|
||||
onPressed: () => provider.clearShots(),
|
||||
),
|
||||
// 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(
|
||||
@@ -315,7 +364,6 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
|
||||
widget.cropOffset?.dy ?? 0.0,
|
||||
0.0,
|
||||
)
|
||||
..scale(1.0, 1.0)
|
||||
..rotateZ(
|
||||
(provider.cropRotation) *
|
||||
(math.pi / 180),
|
||||
@@ -423,8 +471,6 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
|
||||
targetCenterX: provider.targetCenterX,
|
||||
targetCenterY: provider.targetCenterY,
|
||||
),
|
||||
const SizedBox(height: 12),
|
||||
_buildActionButtons(context, provider),
|
||||
const SizedBox(height: 50),
|
||||
],
|
||||
),
|
||||
@@ -592,7 +638,7 @@ class _AnalysisScreenContentState extends State<_AnalysisScreenContent> {
|
||||
zoomScale: _currentZoomScale,
|
||||
// Lecture seule : tap sur impact -> détails (consultation).
|
||||
onShotTapped: (shot) =>
|
||||
_showShotDetails(context, provider, shot),
|
||||
showShotDetailsSheet(context, provider, shot),
|
||||
),
|
||||
),
|
||||
],
|
||||
@@ -600,84 +646,6 @@ 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,
|
||||
|
||||
@@ -23,6 +23,7 @@ import 'package:provider/provider.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});
|
||||
@@ -144,7 +145,7 @@ class _ImpactEditorScreenState extends State<ImpactEditorScreen> {
|
||||
|
||||
final hit = _hitTestShot(provider, rel);
|
||||
if (hit != null) {
|
||||
_showShotDetails(context, provider, hit);
|
||||
showShotDetailsSheet(context, provider, hit);
|
||||
} else {
|
||||
provider.addShot(rel.dx, rel.dy);
|
||||
}
|
||||
@@ -192,7 +193,7 @@ class _ImpactEditorScreenState extends State<ImpactEditorScreen> {
|
||||
// L'ajout et la sélection sont gérés par le
|
||||
// GestureDetector parent ci-dessus.
|
||||
onShotTapped: (shot) =>
|
||||
_showShotDetails(context, provider, shot),
|
||||
showShotDetailsSheet(context, provider, shot),
|
||||
),
|
||||
),
|
||||
],
|
||||
@@ -205,79 +206,4 @@ 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),
|
||||
),
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
);
|
||||
}
|
||||
}
|
||||
85
lib/features/analysis/widgets/shot_details_sheet.dart
Normal file
85
lib/features/analysis/widgets/shot_details_sheet.dart
Normal file
@@ -0,0 +1,85 @@
|
||||
/// 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),
|
||||
),
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
);
|
||||
}
|
||||
@@ -4,6 +4,7 @@
|
||||
/// Les anneaux sont répartis proportionnellement.
|
||||
library;
|
||||
|
||||
import 'package:flutter/foundation.dart';
|
||||
import 'package:flutter/material.dart';
|
||||
import '../../../core/theme/app_theme.dart';
|
||||
import '../../../data/models/target_type.dart';
|
||||
@@ -130,7 +131,14 @@ class TargetCalibrationState extends State<TargetCalibration> {
|
||||
_currentEspacementRatio = (_radius > 0) ? (_innerRadius / _radius).clamp(0.01, 0.70) : 0.1;
|
||||
shouldReinit = true;
|
||||
}
|
||||
if (widget.initialRingRadii != oldWidget.initialRingRadii && widget.initialRingRadii != null) {
|
||||
// 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)) {
|
||||
_originalRingRadii = List.from(widget.initialRingRadii!);
|
||||
shouldReinit = true;
|
||||
}
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
/// Overlay visuel de la cible.
|
||||
///
|
||||
/// 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.
|
||||
/// 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.
|
||||
library;
|
||||
|
||||
import 'package:flutter/material.dart';
|
||||
@@ -20,11 +20,9 @@ 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;
|
||||
|
||||
@@ -38,11 +36,9 @@ 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,
|
||||
});
|
||||
@@ -72,7 +68,6 @@ class TargetOverlay extends StatelessWidget {
|
||||
groupingCenterX: groupingCenterX,
|
||||
groupingCenterY: groupingCenterY,
|
||||
groupingDiameter: groupingDiameter,
|
||||
referenceImpacts: referenceImpacts,
|
||||
zoomScale: zoomScale,
|
||||
showRings: showRings,
|
||||
),
|
||||
@@ -127,7 +122,6 @@ class _TargetOverlayPainter extends CustomPainter {
|
||||
final double? groupingCenterX;
|
||||
final double? groupingCenterY;
|
||||
final double? groupingDiameter;
|
||||
final List<Shot>? referenceImpacts;
|
||||
final double zoomScale;
|
||||
final bool showRings;
|
||||
|
||||
@@ -142,7 +136,6 @@ class _TargetOverlayPainter extends CustomPainter {
|
||||
this.groupingCenterX,
|
||||
this.groupingCenterY,
|
||||
this.groupingDiameter,
|
||||
this.referenceImpacts,
|
||||
this.zoomScale = 1.0,
|
||||
this.showRings = false,
|
||||
});
|
||||
@@ -163,13 +156,6 @@ 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) {
|
||||
@@ -319,48 +305,6 @@ 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 ||
|
||||
@@ -372,7 +316,6 @@ class _TargetOverlayPainter extends CustomPainter {
|
||||
groupingCenterX != oldDelegate.groupingCenterX ||
|
||||
groupingCenterY != oldDelegate.groupingCenterY ||
|
||||
groupingDiameter != oldDelegate.groupingDiameter ||
|
||||
referenceImpacts != oldDelegate.referenceImpacts ||
|
||||
zoomScale != oldDelegate.zoomScale ||
|
||||
showRings != oldDelegate.showRings;
|
||||
}
|
||||
|
||||
@@ -128,7 +128,6 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
|
||||
// Détection OpenCV (cible circulaire) — on garde le résultat COMPLET
|
||||
TargetDetectionResult? _targetResult; // NOUVEAU : centre + rayon de la cible
|
||||
Timer? _detectionTimer;
|
||||
bool _isAnalyzingFrame = false;
|
||||
|
||||
// NOUVEAU : Données IMU en temps réel
|
||||
@@ -148,7 +147,6 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
void dispose() {
|
||||
_cameraController?.dispose();
|
||||
_scanAnimationController.dispose();
|
||||
_detectionTimer?.cancel();
|
||||
_parallelismSubscription?.cancel(); // NOUVEAU
|
||||
_parallelismService.dispose(); // NOUVEAU
|
||||
super.dispose();
|
||||
@@ -300,9 +298,6 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
// Détection OpenCV périodique (inchangée)
|
||||
// ─────────────────────────────────────────────────────────────────────────
|
||||
void _startAlignmentDetection() {
|
||||
_detectionTimer?.cancel();
|
||||
_detectionTimer = null;
|
||||
|
||||
DateTime? lastAnalysis;
|
||||
|
||||
_cameraController!.startImageStream((CameraImage cameraImage) async {
|
||||
@@ -310,7 +305,9 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
final now = DateTime.now();
|
||||
// Cadence ~1 s : assez réactif pour suivre la cible sans saturer le CPU.
|
||||
if (lastAnalysis != null &&
|
||||
now.difference(lastAnalysis!).inMilliseconds < 1000) return;
|
||||
now.difference(lastAnalysis!).inMilliseconds < 1000) {
|
||||
return;
|
||||
}
|
||||
lastAnalysis = now;
|
||||
_isAnalyzingFrame = true;
|
||||
|
||||
@@ -362,8 +359,6 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
}
|
||||
|
||||
void _stopAlignmentDetection() {
|
||||
_detectionTimer?.cancel();
|
||||
_detectionTimer = null;
|
||||
try {
|
||||
if (_cameraController != null &&
|
||||
_cameraController!.value.isStreamingImages) {
|
||||
@@ -521,10 +516,10 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
height: MediaQuery.of(context).size.width * 0.85,
|
||||
child: Stack(
|
||||
children: [
|
||||
_buildCameraCorner(TopLeft: true, color: frameColor),
|
||||
_buildCameraCorner(TopRight: true, color: frameColor),
|
||||
_buildCameraCorner(BottomLeft: true, color: frameColor),
|
||||
_buildCameraCorner(BottomRight: true, color: frameColor),
|
||||
_buildCameraCorner(topLeft: true, color: frameColor),
|
||||
_buildCameraCorner(topRight: true, color: frameColor),
|
||||
_buildCameraCorner(bottomLeft: true, color: frameColor),
|
||||
_buildCameraCorner(bottomRight: true, color: frameColor),
|
||||
Center(
|
||||
child: Container(
|
||||
width: 24,
|
||||
@@ -831,32 +826,32 @@ class _CaptureScreenState extends State<CaptureScreen>
|
||||
// Coins du cadre (inchangés)
|
||||
// ─────────────────────────────────────────────────────────────────────────
|
||||
Widget _buildCameraCorner({
|
||||
bool TopLeft = false,
|
||||
bool TopRight = false,
|
||||
bool BottomLeft = false,
|
||||
bool BottomRight = false,
|
||||
bool topLeft = false,
|
||||
bool topRight = false,
|
||||
bool bottomLeft = false,
|
||||
bool bottomRight = false,
|
||||
Color color = const Color(0xFF00FF00),
|
||||
}) {
|
||||
return Positioned(
|
||||
top: (TopLeft || TopRight) ? 10 : null,
|
||||
bottom: (BottomLeft || BottomRight) ? 10 : null,
|
||||
left: (TopLeft || BottomLeft) ? 10 : null,
|
||||
right: (TopRight || BottomRight) ? 10 : null,
|
||||
top: (topLeft || topRight) ? 10 : null,
|
||||
bottom: (bottomLeft || bottomRight) ? 10 : null,
|
||||
left: (topLeft || bottomLeft) ? 10 : null,
|
||||
right: (topRight || bottomRight) ? 10 : null,
|
||||
child: Container(
|
||||
width: 20,
|
||||
height: 20,
|
||||
decoration: BoxDecoration(
|
||||
border: Border(
|
||||
top: (TopLeft || TopRight)
|
||||
top: (topLeft || topRight)
|
||||
? BorderSide(color: color, width: 4)
|
||||
: BorderSide.none,
|
||||
bottom: (BottomLeft || BottomRight)
|
||||
bottom: (bottomLeft || bottomRight)
|
||||
? BorderSide(color: color, width: 4)
|
||||
: BorderSide.none,
|
||||
left: (TopLeft || BottomLeft)
|
||||
left: (topLeft || bottomLeft)
|
||||
? BorderSide(color: color, width: 4)
|
||||
: BorderSide.none,
|
||||
right: (TopRight || BottomRight)
|
||||
right: (topRight || bottomRight)
|
||||
? BorderSide(color: color, width: 4)
|
||||
: BorderSide.none,
|
||||
),
|
||||
|
||||
@@ -114,7 +114,7 @@ class _CropScreenState extends State<CropScreen> {
|
||||
Flexible(
|
||||
child: Text(
|
||||
'Alignez et pivotez la cible sur la croix',
|
||||
style: TextStyle(color: Colors.white.withOpacity(0.8), fontSize: 14, fontWeight: FontWeight.w500),
|
||||
style: TextStyle(color: Colors.white.withValues(alpha: 0.8), fontSize: 14, fontWeight: FontWeight.w500),
|
||||
),
|
||||
),
|
||||
],
|
||||
@@ -122,7 +122,7 @@ class _CropScreenState extends State<CropScreen> {
|
||||
const SizedBox(height: 4),
|
||||
Text(
|
||||
'Glissez à un doigt pour déplacer, pincez pour zoomer',
|
||||
style: TextStyle(color: Colors.white.withOpacity(0.5), fontSize: 12),
|
||||
style: TextStyle(color: Colors.white.withValues(alpha: 0.5), fontSize: 12),
|
||||
),
|
||||
],
|
||||
),
|
||||
@@ -274,7 +274,7 @@ class _CropScreenState extends State<CropScreen> {
|
||||
child: Transform(
|
||||
transform: Matrix4.identity()
|
||||
..setTranslationRaw(_offset.dx, _offset.dy, 0)
|
||||
..scale(_scale, _scale)
|
||||
..scaleByDouble(_scale, _scale, _scale, 1.0)
|
||||
..rotateZ(_rotation * (math.pi / 180)),
|
||||
alignment: Alignment.center,
|
||||
child: Image.file(
|
||||
@@ -296,14 +296,14 @@ class _CropScreenState extends State<CropScreen> {
|
||||
child: Container(
|
||||
width: double.infinity,
|
||||
height: 1.5,
|
||||
color: const Color(0xFF00FF00).withOpacity(0.6),
|
||||
color: const Color(0xFF00FF00).withValues(alpha: 0.6),
|
||||
),
|
||||
),
|
||||
Center(
|
||||
child: Container(
|
||||
width: 1.5,
|
||||
height: double.infinity,
|
||||
color: const Color(0xFF00FF00).withOpacity(0.6),
|
||||
color: const Color(0xFF00FF00).withValues(alpha: 0.6),
|
||||
),
|
||||
),
|
||||
],
|
||||
|
||||
@@ -52,7 +52,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
actions: [
|
||||
IconButton(
|
||||
icon: const Icon(Icons.edit),
|
||||
onPressed: () => _showEditWeaponDialog(context),
|
||||
onPressed: _showEditWeaponDialog,
|
||||
),
|
||||
],
|
||||
),
|
||||
@@ -74,7 +74,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
),
|
||||
),
|
||||
floatingActionButton: FloatingActionButton.extended(
|
||||
onPressed: () => _showAddMaintenanceDialog(context),
|
||||
onPressed: _showAddMaintenanceDialog,
|
||||
label: const Text('Entretien'),
|
||||
icon: const Icon(Icons.build),
|
||||
),
|
||||
@@ -166,7 +166,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
padding: const EdgeInsets.all(8),
|
||||
minimumSize: const Size(36, 36),
|
||||
),
|
||||
onPressed: () => _showEditAccessoriesDialog(context),
|
||||
onPressed: _showEditAccessoriesDialog,
|
||||
),
|
||||
],
|
||||
),
|
||||
@@ -223,7 +223,7 @@ 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(context, entry),
|
||||
onLongPress: () => _confirmDeleteMaintenance(entry),
|
||||
),
|
||||
);
|
||||
},
|
||||
@@ -279,7 +279,9 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
);
|
||||
}
|
||||
|
||||
void _showEditWeaponDialog(BuildContext context) async {
|
||||
void _showEditWeaponDialog() async {
|
||||
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
|
||||
final repository = context.read<SessionRepository>();
|
||||
final nameController = TextEditingController(text: _weapon.name);
|
||||
final caliberController = TextEditingController(text: _weapon.caliber);
|
||||
final magCountController = TextEditingController(text: _weapon.magazineCount.toString());
|
||||
@@ -309,7 +311,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
decoration: const InputDecoration(labelText: 'Surnom / Custom Name', hintText: 'ex: Mon Glock de Compète'),
|
||||
)),
|
||||
DropdownButtonFormField<WeaponType>(
|
||||
value: selectedType,
|
||||
initialValue: selectedType,
|
||||
decoration: const InputDecoration(labelText: 'Type'),
|
||||
items: WeaponType.values.map((t) => DropdownMenuItem(value: t, child: Text(t.displayName))).toList(),
|
||||
onChanged: (v) => setState(() => selectedType = v!),
|
||||
@@ -383,8 +385,8 @@ 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;
|
||||
});
|
||||
@@ -395,7 +397,9 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
// 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(BuildContext context) async {
|
||||
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);
|
||||
@@ -444,7 +448,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
),
|
||||
);
|
||||
|
||||
if (result != true) return;
|
||||
if (result != true || !mounted) return;
|
||||
|
||||
final newOptic = opticController.text.isEmpty ? null : opticController.text;
|
||||
final newSilencer = silencerController.text.isEmpty ? null : silencerController.text;
|
||||
@@ -456,11 +460,9 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
newSilencer == _weapon.silencer &&
|
||||
newTrigger == _weapon.trigger;
|
||||
if (unchanged) {
|
||||
if (mounted) {
|
||||
ScaffoldMessenger.of(context).showSnackBar(
|
||||
const SnackBar(content: Text('Aucun accessoire modifié, aucune configuration créée.')),
|
||||
);
|
||||
}
|
||||
ScaffoldMessenger.of(context).showSnackBar(
|
||||
const SnackBar(content: Text('Aucun accessoire modifié, aucune configuration créée.')),
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -472,7 +474,6 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
newCustomName = accessories.isEmpty ? null : '${_weapon.name} ($accessories)';
|
||||
}
|
||||
|
||||
final repository = context.read<SessionRepository>();
|
||||
final newWeapon = await repository.addWeapon(
|
||||
name: _weapon.name,
|
||||
type: _weapon.type,
|
||||
@@ -497,7 +498,9 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
);
|
||||
}
|
||||
|
||||
void _showAddMaintenanceDialog(BuildContext context) async {
|
||||
void _showAddMaintenanceDialog() async {
|
||||
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
|
||||
final repository = context.read<SessionRepository>();
|
||||
final descController = TextEditingController();
|
||||
MaintenanceType selectedType = MaintenanceType.cleaning;
|
||||
DateTime selectedDate = DateTime.now();
|
||||
@@ -511,7 +514,7 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
mainAxisSize: MainAxisSize.min,
|
||||
children: [
|
||||
DropdownButtonFormField<MaintenanceType>(
|
||||
value: selectedType,
|
||||
initialValue: 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!),
|
||||
@@ -553,7 +556,6 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
);
|
||||
|
||||
if (result == true && descController.text.isNotEmpty) {
|
||||
final repository = context.read<SessionRepository>();
|
||||
await repository.addMaintenanceEntry(
|
||||
weaponId: _weapon.id,
|
||||
type: selectedType,
|
||||
@@ -561,11 +563,14 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
roundsSinceLast: _totalRounds,
|
||||
date: selectedDate,
|
||||
);
|
||||
if (!mounted) return;
|
||||
_loadData();
|
||||
}
|
||||
}
|
||||
|
||||
void _confirmDeleteMaintenance(BuildContext context, MaintenanceEntry entry) async {
|
||||
void _confirmDeleteMaintenance(MaintenanceEntry entry) async {
|
||||
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
|
||||
final repository = context.read<SessionRepository>();
|
||||
final confirmed = await showDialog<bool>(
|
||||
context: context,
|
||||
builder: (context) => AlertDialog(
|
||||
@@ -582,8 +587,8 @@ class _WeaponDetailScreenState extends State<WeaponDetailScreen> {
|
||||
);
|
||||
|
||||
if (confirmed == true) {
|
||||
final repository = context.read<SessionRepository>();
|
||||
await repository.deleteMaintenanceEntry(entry.id);
|
||||
if (!mounted) return;
|
||||
_loadData();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -46,7 +46,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
? _buildEmptyState()
|
||||
: _buildWeaponList(),
|
||||
floatingActionButton: FloatingActionButton(
|
||||
onPressed: () => _showAddWeaponDialog(context),
|
||||
onPressed: _showAddWeaponDialog,
|
||||
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(context),
|
||||
onPressed: _showAddWeaponDialog,
|
||||
child: const Text('Ajouter ma première arme'),
|
||||
),
|
||||
],
|
||||
@@ -88,7 +88,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
);
|
||||
_loadWeapons(); // Reload in case it was edited or maintenance was added
|
||||
},
|
||||
onLongPress: () => _confirmDelete(context, weapon),
|
||||
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),
|
||||
@@ -179,7 +179,9 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
}).toList();
|
||||
}
|
||||
|
||||
void _showAddWeaponDialog(BuildContext context) async {
|
||||
void _showAddWeaponDialog() async {
|
||||
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
|
||||
final repository = context.read<SessionRepository>();
|
||||
final nameController = TextEditingController();
|
||||
final caliberController = TextEditingController();
|
||||
final magCountController = TextEditingController(text: '2');
|
||||
@@ -200,7 +202,7 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
decoration: const InputDecoration(labelText: 'Nom de l\'arme', hintText: 'ex: Glock 17'),
|
||||
),
|
||||
DropdownButtonFormField<WeaponType>(
|
||||
value: selectedType,
|
||||
initialValue: selectedType,
|
||||
decoration: const InputDecoration(labelText: 'Type'),
|
||||
items: WeaponType.values.map((t) => DropdownMenuItem(value: t, child: Text(t.displayName))).toList(),
|
||||
onChanged: (v) => setState(() => selectedType = v!),
|
||||
@@ -240,7 +242,6 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
);
|
||||
|
||||
if (result == true && nameController.text.isNotEmpty) {
|
||||
final repository = context.read<SessionRepository>();
|
||||
await repository.addWeapon(
|
||||
name: nameController.text,
|
||||
type: selectedType,
|
||||
@@ -248,11 +249,14 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
magazineCount: int.tryParse(magCountController.text) ?? 1,
|
||||
magazineCapacity: int.tryParse(magCapController.text) ?? 10,
|
||||
);
|
||||
if (!mounted) return;
|
||||
_loadWeapons();
|
||||
}
|
||||
}
|
||||
|
||||
void _confirmDelete(BuildContext context, Weapon weapon) async {
|
||||
void _confirmDelete(Weapon weapon) async {
|
||||
// Capturé AVANT l'await : plus aucun usage du context après le dialogue.
|
||||
final repository = context.read<SessionRepository>();
|
||||
final confirmed = await showDialog<bool>(
|
||||
context: context,
|
||||
builder: (context) => AlertDialog(
|
||||
@@ -269,8 +273,8 @@ class _WeaponListScreenState extends State<WeaponListScreen> {
|
||||
);
|
||||
|
||||
if (confirmed == true) {
|
||||
final repository = context.read<SessionRepository>();
|
||||
await repository.deleteWeapon(weapon.id);
|
||||
if (!mounted) return;
|
||||
_loadWeapons();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -11,7 +11,13 @@ import 'widgets/session_list_item.dart';
|
||||
import 'widgets/history_chart.dart';
|
||||
|
||||
class HistoryScreen extends StatefulWidget {
|
||||
const HistoryScreen({super.key});
|
||||
/// 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});
|
||||
|
||||
@override
|
||||
State<HistoryScreen> createState() => _HistoryScreenState();
|
||||
@@ -31,6 +37,16 @@ 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);
|
||||
@@ -43,6 +59,14 @@ 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) {
|
||||
@@ -103,7 +127,7 @@ class _HistoryScreenState extends State<HistoryScreen> {
|
||||
onSurface: Colors.black87, // Texte des dates (Noir sur Blanc)
|
||||
secondary: AppTheme.primaryColor,
|
||||
),
|
||||
dialogBackgroundColor: Colors.white,
|
||||
dialogTheme: const DialogThemeData(backgroundColor: Colors.white),
|
||||
textButtonTheme: TextButtonThemeData(
|
||||
style: TextButton.styleFrom(foregroundColor: AppTheme.primaryColor),
|
||||
),
|
||||
@@ -125,17 +149,29 @@ class _HistoryScreenState extends State<HistoryScreen> {
|
||||
appBar: AppBar(
|
||||
title: const Text('Historique'),
|
||||
actions: [
|
||||
PopupMenuButton<TargetType?>(
|
||||
icon: const Icon(Icons.filter_list),
|
||||
onSelected: (type) {
|
||||
setState(() => _filterType = type);
|
||||
// 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);
|
||||
});
|
||||
_loadSessions();
|
||||
},
|
||||
itemBuilder: (context) => [
|
||||
const PopupMenuItem(value: null, child: Text('Tous')),
|
||||
const PopupMenuItem(value: 'all', child: Text('Tous')),
|
||||
...TargetType.values.map(
|
||||
(type) =>
|
||||
PopupMenuItem(value: type, child: Text(type.displayName)),
|
||||
(type) => PopupMenuItem(
|
||||
value: type.name,
|
||||
child: Text(type.displayName),
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
|
||||
@@ -168,7 +168,7 @@ class _SessionSetupScreenState extends State<SessionSetupScreen> {
|
||||
Column(
|
||||
children: [
|
||||
DropdownButtonFormField<Weapon>(
|
||||
value: _selectedWeapon,
|
||||
initialValue: _selectedWeapon,
|
||||
decoration: InputDecoration(
|
||||
labelText: 'Sélectionner une arme',
|
||||
prefixIcon: const Icon(Icons.shield),
|
||||
|
||||
@@ -67,7 +67,7 @@ class _SettingsScreenState extends State<SettingsScreen> {
|
||||
if (mounted) setState(() => _isLoadingStats = false);
|
||||
}
|
||||
} catch (e) {
|
||||
print('Erreur lors du chargement des statistiques: $e');
|
||||
debugPrint('Erreur lors du chargement des statistiques: $e');
|
||||
if (mounted) setState(() => _isLoadingStats = false);
|
||||
}
|
||||
}
|
||||
@@ -374,7 +374,7 @@ 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,
|
||||
activeColor: AppTheme.primaryColor,
|
||||
activeThumbColor: AppTheme.primaryColor,
|
||||
shape: RoundedRectangleBorder(
|
||||
borderRadius: BorderRadius.circular(12.0),
|
||||
side: BorderSide(color: Colors.grey.withAlpha(50), width: 1),
|
||||
|
||||
@@ -11,7 +11,12 @@ import '../../services/statistics_service.dart';
|
||||
class StatisticsScreen extends StatefulWidget {
|
||||
final Session? singleSession;
|
||||
|
||||
const StatisticsScreen({super.key, this.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});
|
||||
|
||||
@override
|
||||
State<StatisticsScreen> createState() => _StatisticsScreenState();
|
||||
@@ -19,7 +24,7 @@ class StatisticsScreen extends StatefulWidget {
|
||||
|
||||
class _StatisticsScreenState extends State<StatisticsScreen> {
|
||||
final StatisticsService _statisticsService = StatisticsService();
|
||||
StatsPeriod _selectedPeriod = StatsPeriod.all;
|
||||
final StatsPeriod _selectedPeriod = StatsPeriod.all;
|
||||
SessionStatistics? _statistics;
|
||||
bool _isLoading = true;
|
||||
List<Session> _allSessions = [];
|
||||
@@ -44,6 +49,16 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
|
||||
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);
|
||||
@@ -217,51 +232,64 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
|
||||
),
|
||||
body: _isLoading
|
||||
? const Center(child: CircularProgressIndicator())
|
||||
: RefreshIndicator(
|
||||
onRefresh: _loadStatistics,
|
||||
child: SingleChildScrollView(
|
||||
physics: const AlwaysScrollableScrollPhysics(),
|
||||
padding: const EdgeInsets.all(16),
|
||||
child: Column(
|
||||
children: [
|
||||
// 1. FILTRES (Arme et Distance)
|
||||
Row(
|
||||
children: [
|
||||
Expanded(
|
||||
child: _buildDropdown(
|
||||
'Arme utilisée',
|
||||
_selectedWeapon,
|
||||
_availableWeapons,
|
||||
(val) {
|
||||
setState(() {
|
||||
_selectedWeapon = val!;
|
||||
_calculateStats();
|
||||
});
|
||||
},
|
||||
: 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),
|
||||
child: Column(
|
||||
children: [
|
||||
// 1. FILTRES (Arme et Distance)
|
||||
Row(
|
||||
children: [
|
||||
Expanded(
|
||||
child: _buildDropdown(
|
||||
'Arme utilisée',
|
||||
_selectedWeapon,
|
||||
_availableWeapons,
|
||||
(val) {
|
||||
setState(() {
|
||||
_selectedWeapon = val!;
|
||||
_calculateStats();
|
||||
});
|
||||
},
|
||||
),
|
||||
),
|
||||
const SizedBox(width: 12),
|
||||
Expanded(
|
||||
child: _buildDropdown(
|
||||
'Distance',
|
||||
_selectedDistance,
|
||||
_availableDistances,
|
||||
(val) {
|
||||
setState(() {
|
||||
_selectedDistance = val!;
|
||||
_calculateStats();
|
||||
});
|
||||
},
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
const SizedBox(width: 12),
|
||||
Expanded(
|
||||
child: _buildDropdown(
|
||||
'Distance',
|
||||
_selectedDistance,
|
||||
_availableDistances,
|
||||
(val) {
|
||||
setState(() {
|
||||
_selectedDistance = val!;
|
||||
_calculateStats();
|
||||
});
|
||||
},
|
||||
),
|
||||
),
|
||||
],
|
||||
const SizedBox(height: 12),
|
||||
|
||||
// 1bis. COMPARATEUR DE SESSIONS
|
||||
_buildComparator(),
|
||||
],
|
||||
),
|
||||
),
|
||||
const SizedBox(height: 16),
|
||||
|
||||
// 1bis. COMPARATEUR DE SESSIONS
|
||||
_buildComparator(),
|
||||
const SizedBox(height: 20),
|
||||
|
||||
),
|
||||
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: [
|
||||
@@ -347,10 +375,13 @@ class _StatisticsScreenState extends State<StatisticsScreen> {
|
||||
],
|
||||
|
||||
const SizedBox(height: 30),
|
||||
],
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
@@ -7,10 +7,8 @@ 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 {
|
||||
@@ -32,14 +30,6 @@ void main() async {
|
||||
runApp(
|
||||
MultiProvider(
|
||||
providers: [
|
||||
Provider<ImageProcessingService>(
|
||||
create: (_) => ImageProcessingService(),
|
||||
),
|
||||
Provider<TargetDetectionService>(
|
||||
create: (context) => TargetDetectionService(
|
||||
imageProcessingService: context.read<ImageProcessingService>(),
|
||||
),
|
||||
),
|
||||
Provider<ScoreCalculatorService>(
|
||||
create: (_) => ScoreCalculatorService(),
|
||||
),
|
||||
|
||||
@@ -15,25 +15,32 @@ class MainNavigationHolder extends StatefulWidget {
|
||||
class _MainNavigationHolderState extends State<MainNavigationHolder> {
|
||||
int _selectedIndex = 0;
|
||||
|
||||
final List<Widget> _screens = [
|
||||
const HomeScreen(),
|
||||
const HistoryScreen(),
|
||||
const StatisticsScreen(),
|
||||
const WeaponListScreen(),
|
||||
];
|
||||
// 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;
|
||||
|
||||
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(
|
||||
|
||||
@@ -53,6 +53,8 @@ class AiExportService {
|
||||
required double targetCenterY,
|
||||
required double targetRadius,
|
||||
required List<Shot> shots,
|
||||
int distanceMeters = 25,
|
||||
String weaponName = 'Unknown',
|
||||
String? apiUrl,
|
||||
}) async {
|
||||
try {
|
||||
@@ -109,8 +111,8 @@ class AiExportService {
|
||||
"device_info": deviceData,
|
||||
"target_metadata": {
|
||||
"type": targetType.name,
|
||||
"distance_meters": 25, // Default/placeholder
|
||||
"weapon": "Unknown", // Default/placeholder
|
||||
"distance_meters": distanceMeters,
|
||||
"weapon": weaponName,
|
||||
// The backend could extract exact width/height from the image.
|
||||
},
|
||||
"plotting": {
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,228 +0,0 @@
|
||||
/// 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);
|
||||
}
|
||||
}
|
||||
@@ -26,23 +26,34 @@ 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
|
||||
final img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
|
||||
img = cv.imread(imagePath, flags: cv.IMREAD_COLOR);
|
||||
if (img.isEmpty) {
|
||||
return TargetDetectionResult.failure();
|
||||
}
|
||||
|
||||
// Convert to grayscale
|
||||
final gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
|
||||
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY);
|
||||
|
||||
// Apply Gaussian blur to reduce noise
|
||||
final blurred = cv.gaussianBlur(gray, (9, 9), 2, sigmaY: 2);
|
||||
blurred = cv.gaussianBlur(gray, (9, 9), 2, sigmaY: 2);
|
||||
|
||||
// Detect circles using Hough Transform
|
||||
// Parameters need to be tuned for the specific target type
|
||||
final circles = cv.HoughCircles(
|
||||
// Detect circles using Hough Transform.
|
||||
// HoughCircles returns a Mat of shape (1, N) of Vec3f (x, y, r).
|
||||
circles = cv.HoughCircles(
|
||||
blurred,
|
||||
cv.HOUGH_GRADIENT,
|
||||
1, // dp
|
||||
@@ -55,26 +66,9 @@ 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)
|
||||
final looseCircles = cv.HoughCircles(
|
||||
looseCircles = cv.HoughCircles(
|
||||
blurred,
|
||||
cv.HOUGH_GRADIENT,
|
||||
1,
|
||||
@@ -93,8 +87,15 @@ 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();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -1,461 +0,0 @@
|
||||
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 [];
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,259 +0,0 @@
|
||||
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',
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
24
pubspec.lock
24
pubspec.lock
@@ -293,30 +293,6 @@ 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:
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
name: bully
|
||||
description: "A new Flutter project."
|
||||
description: "Application d'analyse de cibles de tir : capture, centrage, plotting manuel des impacts, scores et statistiques."
|
||||
# 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
|
||||
@@ -38,11 +38,9 @@ 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
|
||||
@@ -73,9 +71,6 @@ 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
|
||||
@@ -100,7 +95,6 @@ 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
|
||||
|
||||
|
||||
60
test/services/grouping_analyzer_service_test.dart
Normal file
60
test/services/grouping_analyzer_service_test.dart
Normal file
@@ -0,0 +1,60 @@
|
||||
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');
|
||||
});
|
||||
});
|
||||
}
|
||||
110
test/services/score_calculator_service_test.dart
Normal file
110
test/services/score_calculator_service_test.dart
Normal file
@@ -0,0 +1,110 @@
|
||||
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);
|
||||
});
|
||||
});
|
||||
}
|
||||
@@ -1,20 +1,32 @@
|
||||
// This is a basic Flutter widget test.
|
||||
// Test de fumée sur un widget pur (sans providers ni base de données).
|
||||
//
|
||||
// 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.
|
||||
// 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.
|
||||
|
||||
import 'package:flutter/material.dart';
|
||||
import 'package:flutter_test/flutter_test.dart';
|
||||
|
||||
import 'package:bully/app.dart';
|
||||
import 'package:bully/features/home/widgets/stats_card.dart';
|
||||
|
||||
void main() {
|
||||
testWidgets('App loads correctly', (WidgetTester tester) async {
|
||||
// Build our app and trigger a frame.
|
||||
await tester.pumpWidget(const BullyApp());
|
||||
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,
|
||||
),
|
||||
),
|
||||
),
|
||||
);
|
||||
|
||||
// Verify that the app title is displayed.
|
||||
expect(find.text('Bully'), findsOneWidget);
|
||||
expect(find.text('Tirs'), findsOneWidget);
|
||||
expect(find.text('42'), findsOneWidget);
|
||||
expect(find.byIcon(Icons.gps_fixed), findsOneWidget);
|
||||
});
|
||||
}
|
||||
|
||||
@@ -1,12 +0,0 @@
|
||||
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);
|
||||
}
|
||||
@@ -1,7 +0,0 @@
|
||||
import 'package:opencv_dart/opencv_dart.dart' as cv;
|
||||
|
||||
void main() {
|
||||
print(cv.approxPolyDP);
|
||||
print(cv.arcLength);
|
||||
print(cv.contourArea);
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
import 'package:opencv_dart/opencv_dart.dart' as cv;
|
||||
|
||||
void main() {
|
||||
print(cv.findHomography);
|
||||
}
|
||||
Reference in New Issue
Block a user