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AppRecoleccion/lib/screens/citizen/ai_camera_screen.dart

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import 'dart:io';
import 'package:flutter/material.dart';
import 'package:camera/camera.dart';
import 'package:tflite_flutter/tflite_flutter.dart';
import 'package:image/image.dart' as img;
import '../../core/app_colors.dart';
List<CameraDescription> _cameras = [];
class AiCameraScreen extends StatefulWidget {
const AiCameraScreen({super.key});
@override State<AiCameraScreen> createState() => _AiCameraScreenState();
}
class _AiCameraScreenState extends State<AiCameraScreen> {
CameraController? _cam;
Interpreter? _interpreter;
bool _processing = false;
String _result = 'Apunta a un residuo y toca el botón';
String _confidence = '';
bool _modelLoaded = false;
// 0=Orgánico, 1=Inorgánico (según waste_classification_model)
final _labels = ['Residuo Organico', 'Residuo Inorganico'];
final _labelColors = [AppColors.verdeExito, AppColors.naranjaAlerta];
@override
void initState() {
super.initState();
_init();
}
Future<void> _init() async {
try {
_cameras = await availableCameras();
} catch (_) {}
await _initCamera();
await _loadModel();
}
Future<void> _initCamera() async {
if (_cameras.isEmpty) return;
_cam = CameraController(_cameras[0], ResolutionPreset.medium, enableAudio: false);
try {
await _cam!.initialize();
if (mounted) setState(() {});
} catch (_) {}
}
Future<void> _loadModel() async {
try {
_interpreter = await Interpreter.fromAsset('assets/models/waste_model.tflite');
setState(() => _modelLoaded = true);
} catch (e) {
setState(() => _result = 'Modelo no encontrado.\nAgrega waste_model.tflite a assets/models/');
}
}
Future<void> _classify() async {
if (_cam == null || !_cam!.value.isInitialized || _processing || !_modelLoaded) return;
setState(() { _processing = true; _result = 'Analizando...'; _confidence = ''; });
try {
final pic = await _cam!.takePicture();
final raw = await File(pic.path).readAsBytes();
img.Image? decoded = img.decodeImage(raw);
if (decoded == null) throw Exception('No se pudo decodificar');
final resized = img.copyResize(decoded, width: 150, height: 150);
var input = List.generate(1, (_) =>
List.generate(150, (_) => List.generate(150, (_) => List.generate(3, (_) => 0.0))));
for (int y = 0; y < 150; y++) {
for (int x = 0; x < 150; x++) {
final px = resized.getPixel(x, y);
input[0][y][x][0] = px.r / 255.0;
input[0][y][x][1] = px.g / 255.0;
input[0][y][x][2] = px.b / 255.0;
}
}
var output = List.filled(2, 0.0).reshape([1, 2]);
_interpreter!.run(input, output);
final pred = List<double>.from(output[0]);
final maxIdx = pred[0] > pred[1] ? 0 : 1;
final conf = pred[maxIdx] * 100;
await File(pic.path).delete();
setState(() {
_result = _labels[maxIdx];
_confidence = 'Confianza: ${conf.toStringAsFixed(1)}%';
});
} catch (e) {
setState(() => _result = 'Error en análisis');
} finally {
setState(() => _processing = false);
}
}
@override
void dispose() {
_cam?.dispose();
_interpreter?.close();
super.dispose();
}
@override
Widget build(BuildContext context) {
final resultColor = _result.contains('Orgánico') ? AppColors.verdeExito
: _result.contains('Inorgánico') ? AppColors.naranjaAlerta
: AppColors.guindaPrimary;
return Scaffold(
backgroundColor: Colors.black,
appBar: AppBar(
backgroundColor: AppColors.guindaPrimary, foregroundColor: Colors.white,
title: const Text('Clasificador IA de Residuos'),
bottom: PreferredSize(preferredSize: const Size.fromHeight(4),
child: Container(height: 4, color: AppColors.dorado)),
),
body: Column(children: [
// Visor cámara
Expanded(flex: 4,
child: Container(margin: const EdgeInsets.all(14),
clipBehavior: Clip.antiAlias,
decoration: BoxDecoration(borderRadius: BorderRadius.circular(20),
border: Border.all(color: AppColors.guindaPrimary, width: 3)),
child: _cam != null && _cam!.value.isInitialized
? CameraPreview(_cam!)
: const Center(child: Column(mainAxisAlignment: MainAxisAlignment.center, children: [
Icon(Icons.camera_alt, color: Colors.white54, size: 48),
SizedBox(height: 8),
Text('Iniciando cámara...', style: TextStyle(color: Colors.white54)),
])),
),
),
// Panel resultado
Expanded(flex: 2,
child: Container(width: double.infinity,
decoration: BoxDecoration(color: AppColors.guindaPrimary.withOpacity(0.06),
borderRadius: const BorderRadius.vertical(top: Radius.circular(28))),
padding: const EdgeInsets.all(20),
child: Column(mainAxisAlignment: MainAxisAlignment.center, children: [
Text(_result, textAlign: TextAlign.center,
style: TextStyle(fontSize: 22, fontWeight: FontWeight.bold, color: resultColor)),
if (_confidence.isNotEmpty) ...[
const SizedBox(height: 6),
Text(_confidence, style: const TextStyle(fontSize: 16, color: Colors.black54, fontWeight: FontWeight.w500)),
],
const SizedBox(height: 16),
if (!_modelLoaded)
Container(padding: const EdgeInsets.all(10),
decoration: BoxDecoration(color: Colors.orange.shade50, borderRadius: BorderRadius.circular(8),
border: Border.all(color: Colors.orange.shade300)),
child: const Text(' Para usar la IA, coloca waste_model.tflite en assets/models/',
textAlign: TextAlign.center, style: TextStyle(fontSize: 11))),
if (_modelLoaded)
SizedBox(width: double.infinity, height: 50,
child: ElevatedButton.icon(
onPressed: _processing ? null : _classify,
style: ElevatedButton.styleFrom(
backgroundColor: AppColors.guindaPrimary, foregroundColor: Colors.white,
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(14))),
icon: _processing
? const SizedBox(width: 20, height: 20, child: CircularProgressIndicator(color: Colors.white, strokeWidth: 2))
: const Icon(Icons.center_focus_strong),
label: Text(_processing ? 'Procesando...' : 'Escanear Residuo',
style: const TextStyle(fontSize: 16, fontWeight: FontWeight.bold)),
)),
]),
),
),
]),
);
}
}