11/25/1
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@@ -1,10 +1,11 @@
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import 'dart:convert';
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import 'dart:io';
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import 'dart:ui';
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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:ride/constant/colors.dart';
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import 'package:ride/controller/functions/llama_ai.dart';
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class CarRegistrationRecognizerController extends GetxController {
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@override
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@@ -15,7 +16,6 @@ class CarRegistrationRecognizerController extends GetxController {
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// The ImagePicker instance
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final ImagePicker _imagePicker = ImagePicker();
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Map extractedData = {};
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// The GoogleMlKit TextRecognizer instance
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final TextRecognizer _textRecognizer = TextRecognizer();
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@@ -24,47 +24,57 @@ class CarRegistrationRecognizerController extends GetxController {
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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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Map decode = {};
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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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// Convert the XFile object to an InputImage object
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final InputImage inputImage = InputImage.fromFile(File(image!.path));
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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',
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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',
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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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final Map<String, dynamic> extractedData = {};
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for (TextBlock block in recognizedText.blocks) {
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for (TextLine line in block.lines) {
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final String lineText = line.text;
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final Rect lineBoundingBox = line.boundingBox!;
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extractedTextWithCoordinates.add({
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'text': lineText,
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'boundingBox': {
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'left': lineBoundingBox.left,
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'top': lineBoundingBox.top,
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'width': lineBoundingBox.width,
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'height': lineBoundingBox.height,
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},
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});
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}
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update();
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}
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print(jsonEncode(extractedTextWithCoordinates));
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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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@@ -73,15 +83,20 @@ class CarRegistrationRecognizerController extends GetxController {
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i.toString(): recognizedText.blocks[i].text,
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});
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}
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// print(jsonEncode(lines));
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// Convert the list of lines to a JSON string
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jsonOutput = jsonEncode(extractedData);
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decode = jsonDecode(jsonOutput!);
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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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// 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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print('jsonOutput------------------------------');
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print(decode);
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// print(jsonEncode(lines));
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}
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}
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