11/1/9
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@@ -2,7 +2,6 @@ import 'dart:convert';
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import 'dart:io';
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import 'package:camera/camera.dart';
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import 'package:flutter_tesseract_ocr/flutter_tesseract_ocr.dart';
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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:ride/constant/box_name.dart';
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@@ -193,49 +192,49 @@ class CameraClassController extends GetxController {
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return text.split('\n');
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}
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Future<void> takePictureAndTesseractScan() async {
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try {
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// Construct the path for the image file
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final directory = await path_provider.getTemporaryDirectory();
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final imagePath =
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path.join(directory.path, '${box.read(BoxName.driverID)}.png');
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// Future<void> takePictureAndTesseractScan() async {
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// try {
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// // Construct the path for the image file
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// final directory = await path_provider.getTemporaryDirectory();
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// final imagePath =
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// path.join(directory.path, '${box.read(BoxName.driverID)}.png');
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// Capture the image and save it to the specified path
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final XFile capturedImage = await cameraController.takePicture();
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// // Capture the image and save it to the specified path
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// final XFile capturedImage = await cameraController.takePicture();
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// Move the captured image to the desired path
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await capturedImage.saveTo(imagePath);
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// // Move the captured image to the desired path
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// await capturedImage.saveTo(imagePath);
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// Recognize the text in the image
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final languages = [
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'eng',
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'ara'
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]; // Specify the languages you want to use for text extraction
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// // Recognize the text in the image
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// final languages = [
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// 'eng',
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// 'ara'
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// ]; // Specify the languages you want to use for text extraction
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final text = await FlutterTesseractOcr.extractText(imagePath,
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language: languages.join('+'), // Combine multiple languages with '+'
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args: {
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"psm": "4",
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"preserve_interword_spaces": "1",
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// "rectangle": const Rect.fromLTWH(100, 100, 200, 200),
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} // Additional options if needed
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);
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isloading = false;
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final jsonText = getTextAsJSON(text);
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final textBlocks = getTextBlocks(text);
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update();
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scannedText =
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textBlocks.toString(); // Convert the extracted text to JSON.
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// final text = await FlutterTesseractOcr.extractText(imagePath,
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// language: languages.join('+'), // Combine multiple languages with '+'
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// args: {
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// "psm": "4",
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// "preserve_interword_spaces": "1",
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// // "rectangle": const Rect.fromLTWH(100, 100, 200, 200),
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// } // Additional options if needed
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// );
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// isloading = false;
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// final jsonText = getTextAsJSON(text);
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// final textBlocks = getTextBlocks(text);
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// update();
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// scannedText =
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// textBlocks.toString(); // Convert the extracted text to JSON.
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// Print the JSON to the console.
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print(jsonText);
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update();
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// print(text);
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} catch (e) {
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print('Error during text extraction: $e');
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scannedText = '';
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}
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}
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// // Print the JSON to the console.
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// print(jsonText);
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// update();
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// // print(text);
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// } catch (e) {
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// print('Error during text extraction: $e');
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// scannedText = '';
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// }
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// }
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@override
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void onClose() {
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