104 lines
3.1 KiB
Dart
104 lines
3.1 KiB
Dart
import 'dart:io';
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import 'package:get/get.dart';
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import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
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import 'package:image_cropper/image_cropper.dart';
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import 'package:image_picker/image_picker.dart';
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import 'package:SEFER/constant/colors.dart';
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import 'package:SEFER/controller/functions/llama_ai.dart';
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class CarRegistrationRecognizerController extends GetxController {
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@override
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void onInit() {
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// scanText();
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super.onInit();
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}
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// The ImagePicker instance
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final ImagePicker _imagePicker = ImagePicker();
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// The GoogleMlKit TextRecognizer instance
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final TextRecognizer _textRecognizer = TextRecognizer();
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// The scanned text
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String? scannedText;
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String? jsonOutput;
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final List<Map<String, dynamic>> lines = [];
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Map extracted = {};
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XFile? image;
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CroppedFile? croppedFile;
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// Picks an image from the camera or gallery and extracts the text
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final List<Map<String, dynamic>> extractedTextWithCoordinates = [];
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Future<void> scanText() async {
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// Pick an image from the camera or gallery
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image = await _imagePicker.pickImage(source: ImageSource.gallery);
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update();
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// If no image was picked, return
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if (image == null) {
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return;
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}
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// Crop the image
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croppedFile = await ImageCropper().cropImage(
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sourcePath: image!.path,
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aspectRatioPresets: [
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CropAspectRatioPreset.square,
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CropAspectRatioPreset.ratio3x2,
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CropAspectRatioPreset.original,
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CropAspectRatioPreset.ratio4x3,
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CropAspectRatioPreset.ratio16x9
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],
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uiSettings: [
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AndroidUiSettings(
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toolbarTitle: 'Cropper'.tr,
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toolbarColor: AppColor.blueColor,
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toolbarWidgetColor: AppColor.yellowColor,
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initAspectRatio: CropAspectRatioPreset.original,
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lockAspectRatio: false),
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IOSUiSettings(
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title: 'Cropper'.tr,
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),
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],
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);
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// If no cropped image was obtained, return
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if (croppedFile == null) {
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return;
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}
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// Convert the cropped file to an InputImage object
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final InputImage inputImage = InputImage.fromFile(File(croppedFile!.path));
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// Recognize the text in the image
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final RecognizedText recognizedText =
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await _textRecognizer.processImage(inputImage);
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scannedText = recognizedText.text;
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// Extract the scanned text line by line
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final List<Map<String, dynamic>> lines = [];
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for (var i = 0; i < recognizedText.blocks.length; i++) {
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lines.add({
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i.toString(): recognizedText.blocks[i].text,
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});
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}
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String result = lines.map((map) => map.values.first.toString()).join(' ');
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// print(result.length);
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if (result.length > 2200) {
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result = result.substring(0, 2200);
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}
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// print('jsonOutput------------------------------');
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// print(result);
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Map result2 = await LlamaAi().getCarRegistrationData(result,
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'vin,make,made,year,expiration_date,color,owner,registration_date'); //
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// Assign the result to the extracted variable
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extracted = result2;
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print('extracted is ' + extracted.toString());
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update();
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}
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}
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