[FEATURE?] Obtaining Image from TensorImage about tflite_flutter_helper HOT 4 OPEN

class ImageConversion {
  static Image convertTensorBufferToImage(TensorBuffer buffer, Image image) {
    // if (buffer.getDataType() != TfLiteType.uint8) {
    //   throw UnsupportedError(
    //     "Converting TensorBuffer of type ${buffer.getDataType()} to Image is not supported yet.",
    //   );
    // }
    List<int> shape = buffer.getShape();
    TensorImage.checkImageTensorShape(shape);
    int h = shape[shape.length - 3];
    int w = shape[shape.length - 2];
    if (image.width != w || image.height != h) {
      throw ArgumentError(
        "Given image has different width or height ${[
          image.width,
          image.height
        ]} with the expected ones ${[w, h]}.",
      );
    }

    List<double> rgbValues = buffer.getDoubleList();

    assert(rgbValues.length == w * h * 3);

    for (int i = 0, j = 0, wi = 0, hi = 0; j < rgbValues.length; i++) {
      int r = ((rgbValues[j++] + 1) * 127.5).floor();
      int g = ((rgbValues[j++] + 1) * 127.5).floor();
      int b = ((rgbValues[j++] + 1) * 127.5).floor();
      image.setPixelRgba(wi, hi, r,g, b);
      wi++;
      if (wi % w == 0) {
        wi = 0;
        hi++;
      }
    }

    return image;
  }

 if (buffer.getDataType() != TfLiteType.uint8) {
      throw UnsupportedError(
        "Converting TensorBuffer of type ${buffer.getDataType()} to Image is not supported yet.",
      );
    }

    imageLib.Image _target = imageLib.Image(c.INPUT_SIZE,c.INPUT_SIZE);
    _lastProcessedImage = ImageConversion.convertTensorBufferToImage(inputImage.getTensorBuffer(),_target);