import 'dart:io';
import 'dart:typed_data';
import 'package:image/image.dart' as imglib;

// Load the image from file
File imageFile = File('path/to/image.jpg');
imglib.Image image = imglib.decodeJpg(imageFile.readAsBytesSync());

// Resize the image to the input size of the TFLite model
imglib.Image resizedImage = imglib.copyResize(image, width: 150, height: 150);

// Convert the image pixel values to a normalized Uint8List
Uint8List inputValues = Uint8List(150 * 150 * 3);
for (int i = 0; i < 150; i++) {
  for (int j = 0; j < 150; j++) {
    int pixel = resizedImage.getPixel(j, i);
    inputValues[i * 150 * 3 + j * 3 + 0] = ((pixel >> 16) & 0xFF);
    inputValues[i * 150 * 3 + j * 3 + 1] = ((pixel >> 8) & 0xFF);
    inputValues[i * 150 * 3 + j * 3 + 2] = (pixel & 0xFF);
  }
}
inputValues = inputValues.buffer.asUint8List();

// Alternatively, you can convert the image pixel values to a normalized Float32List
Float32List inputValuesFloat = Float32List(150 * 150 * 3);
for (int i = 0; i < 150; i++) {
  for (int j = 0; j < 150; j++) {
    int pixel = resizedImage.getPixel(j, i);
    inputValuesFloat[i * 150 * 3 + j * 3 + 0] = ((pixel >> 16) & 0xFF) / 255.0;
    inputValuesFloat[i * 150 * 3 + j * 3 + 1] = ((pixel >> 8) & 0xFF) / 255.0;
    inputValuesFloat[i * 150 * 3 + j * 3 + 2] = (pixel & 0xFF) / 255.0;
  }
}