7/19/1

lib/controller/functions/upload_image.dart

@@ -1,13 +1,11 @@
 import 'dart:convert';
 import 'dart:io';
-
 import 'package:SEFER/constant/api_key.dart';
 import 'package:get/get.dart';
 import 'package:http/http.dart' as http;
 import 'package:image_cropper/image_cropper.dart';
 import 'package:image_picker/image_picker.dart';
 import 'package:path/path.dart';
-import 'package:image/image.dart' as image_package;
 import 'package:image/image.dart' as img;
 
 import 'package:flutter_image_compress/flutter_image_compress.dart';
@@ -164,62 +162,47 @@ class ImageController extends GetxController {
     }
   }
 
-  choosImage1(String link, String imageType) async {
-    final pickedImage = await picker.pickImage(
-      source: ImageSource.camera,
-      preferredCameraDevice: CameraDevice.rear,
-      // maxHeight: Get.height * .3,
-      // maxWidth: Get.width * .9,
-      // imageQuality: 100,
-    );
-    image = File(pickedImage!.path);
+  // choosFaceFromDriverLicense(String link, String imageType) async {
+  //   final pickedImage = await picker.pickImage(
+  //     source: ImageSource.camera,
+  //     preferredCameraDevice: CameraDevice.rear,
+  //   );
 
-    croppedFile = await ImageCropper().cropImage(
-      sourcePath: image!.path,
-      aspectRatioPresets: [
-        CropAspectRatioPreset.square,
-        CropAspectRatioPreset.ratio3x2,
-        CropAspectRatioPreset.original,
-        CropAspectRatioPreset.ratio4x3,
-        CropAspectRatioPreset.ratio16x9
-      ],
-      uiSettings: [
-        AndroidUiSettings(
-            toolbarTitle: 'Cropper'.tr,
-            toolbarColor: AppColor.blueColor,
-            toolbarWidgetColor: AppColor.yellowColor,
-            initAspectRatio: CropAspectRatioPreset.original,
-            lockAspectRatio: false),
-        IOSUiSettings(
-          title: 'Cropper'.tr,
-        ),
-      ],
-    );
-    myImage = File(pickedImage.path);
-    isloading = true;
-    update();
-// Save the cropped image
-    // File savedCroppedImage = File(croppedFile!.path);
-    File compressedImage = await compressImage(File(croppedFile!.path));
-    print('link =$link');
-    try {
-      await uploadImage(
-        compressedImage,
-        {
-          'driverID':
-              box.read(BoxName.driverID) ?? box.read(BoxName.passengerID),
-          'imageType': imageType
-        },
-        link,
-      );
-    } catch (e) {
-      Get.snackbar('Image Upload Failed'.tr, e.toString(),
-          backgroundColor: AppColor.redColor);
-    } finally {
-      isloading = false;
-      update();
-    }
-  }
+  //   if (pickedImage == null) return;
+
+  //   image = File(pickedImage.path);
+
+  //   File? processedImage;
+
+  //   // For face images, use face detection and cropping
+  //   processedImage = await detectAndCropFace(image!);
+  //   if (processedImage == null) {
+  //     Get.snackbar('Face Detection Failed', 'No face detected in the image.');
+  //     return;
+  //   }
+
+  //   isloading = true;
+  //   update();
+
+  //   File compressedImage = await compressImage(processedImage);
+
+  //   try {
+  //     await uploadImage(
+  //       compressedImage,
+  //       {
+  //         'driverID': box.read(BoxName.driverID).toString(),
+  //         'imageType': imageType
+  //       },
+  //       link,
+  //     );
+  //   } catch (e) {
+  //     Get.snackbar('Image Upload Failed'.tr, e.toString(),
+  //         backgroundColor: AppColor.redColor);
+  //   } finally {
+  //     isloading = false;
+  //     update();
+  //   }
+  // }
 
   choosFace(String link, String imageType) async {
     final pickedImage = await picker.pickImage(
@@ -408,3 +391,63 @@ Future<File> compressImage(File file) async {
 
   return File(result!.path);
 }
+
+// Future<File> detectAndCropFace(File imageFile) async {
+//   final inputImage = InputImage.fromFilePath(imageFile.path);
+//   final options = FaceDetectorOptions(
+//     enableClassification: false,
+//     enableLandmarks: false,
+//     enableTracking: false,
+//     minFaceSize: 0.15,
+//     performanceMode: FaceDetectorMode.accurate,
+//   );
+//   final faceDetector = FaceDetector(options: options);
+
+//   try {
+//     final List<Face> faces = await faceDetector.processImage(inputImage);
+//     final image = img.decodeImage(await imageFile.readAsBytes());
+
+//     if (image == null) throw Exception('Unable to decode image');
+
+//     int left, top, width, height;
+
+//     if (faces.isNotEmpty) {
+//       // Face detected, crop around the face
+//       final face = faces[0];
+//       double padding = 0.2; // 20% padding
+//       int paddingX = (face.boundingBox.width * padding).round();
+//       int paddingY = (face.boundingBox.height * padding).round();
+
+//       left = (face.boundingBox.left - paddingX).round();
+//       top = (face.boundingBox.top - paddingY).round();
+//       width = (face.boundingBox.width + 2 * paddingX).round();
+//       height = (face.boundingBox.height + 2 * paddingY).round();
+//     } else {
+//       // No face detected, crop the center of the image
+//       int size = min(image.width, image.height);
+//       left = (image.width - size) ~/ 2;
+//       top = (image.height - size) ~/ 2;
+//       width = size;
+//       height = size;
+//     }
+
+//     // Ensure dimensions are within image bounds
+//     left = left.clamp(0, image.width - 1);
+//     top = top.clamp(0, image.height - 1);
+//     width = width.clamp(1, image.width - left);
+//     height = height.clamp(1, image.height - top);
+
+//     final croppedImage =
+//         img.copyCrop(image, x: left, y: top, width: width, height: height);
+
+//     // Save the cropped image
+//     final tempDir = await path_provider.getTemporaryDirectory();
+//     final tempPath = tempDir.path;
+//     final croppedFile = File('$tempPath/cropped_image.jpg');
+//     await croppedFile.writeAsBytes(img.encodeJpg(croppedImage, quality: 100));
+
+//     return croppedFile;
+//   } finally {
+//     faceDetector.close();
+//   }
+// }