Passing image to tflite model - tensorflow

Question

I loaded tensor-flow Lite model in Flutter but i am having some problem passing the image to the model for prediction. The prediction method allows any object to pass but Flutter is reading images as Files as i am using Image Picker class and I cant find a way to convert file type into an image so that i can convert it into a (28,28,1) which is required by the model.
Thanks, any help would be appreciated.
Uint8List imageToByteListFloat32(
img.Image image, int inputSize, double mean, double std) {
var convertedBytes = Float32List(1 * inputSize * inputSize * 3);
var buffer = Float32List.view(convertedBytes.buffer);
int pixelIndex = 0;
for (var i = 0; i < inputSize; i++) {
for (var j = 0; j < inputSize; j++) {
var pixel = image.getPixel(j, i);
buffer[pixelIndex++] = (img.getRed(pixel) - mean) / std;
buffer[pixelIndex++] = (img.getGreen(pixel) - mean) / std;
buffer[pixelIndex++] = (img.getBlue(pixel) - mean) / std;
}
}
return convertedBytes.buffer.asUint8List();
}
classifyImage(File image) async {
var output = await Tflite.runModelOnBinary(
binary: imageToByteListFloat32(image, 224, 127.5, 127.5),// required
numResults: 10, // defaults to 5
threshold: 0.05, // defaults to 0.1
asynch: true // defaults to true
);
setState(() {
_loading = false;
_outputs = output;
});
}`

Answer 1

You can use the flutter image lib to get an image from a file.
import 'package:image/image.dart' as imageLib;
var image = imageLib.decodeImage(await imageFile.readAsBytes());
Also this github repo from shaquian might be helpful for you!
https://github.com/shaqian/flutter_tflite/blob/master/example/lib/main.dart