image_converter.dart

// imgLib -> Image package from https://pub.dartlang.org/packages/image
import 'package:image/image.dart' as imglib;
import 'package:camera/camera.dart';

Future<List<int>> convertImagetoPng(CameraImage image) async {
  try {
    imglib.Image img;
    if (image.format.group == ImageFormatGroup.yuv420) {
      img = _convertYUV420(image);
    } else if (image.format.group == ImageFormatGroup.bgra8888) {
      img = _convertBGRA8888(image);
    }

    imglib.PngEncoder pngEncoder = new imglib.PngEncoder();

    // Convert to png
    List<int> png = pngEncoder.encodeImage(img);
    return png;
  } catch (e) {
    print(">>>>>>>>>>>> ERROR:" + e.toString());
  }
  return null;
}

// CameraImage BGRA8888 -> PNG
// Color
imglib.Image _convertBGRA8888(CameraImage image) {
  return imglib.Image.fromBytes(
    image.width,
    image.height,
    image.planes[0].bytes,
    format: imglib.Format.bgra,
  );
}

// CameraImage YUV420_888 -> PNG -> Image (compresion:0, filter: none)
// Black
imglib.Image _convertYUV420(CameraImage image) {
  var img = imglib.Image(image.width, image.height); // Create Image buffer

  Plane plane = image.planes[0];
  const int shift = (0xFF << 24);

  // Fill image buffer with plane[0] from YUV420_888
  for (int x = 0; x < image.width; x++) {
    for (int planeOffset = 0;
        planeOffset < image.height * image.width;
        planeOffset += image.width) {
      final pixelColor = plane.bytes[planeOffset + x];
      // color: 0x FF  FF  FF  FF
      //           A   B   G   R
      // Calculate pixel color
      var newVal = shift | (pixelColor << 16) | (pixelColor << 8) | pixelColor;

      img.data[planeOffset + x] = newVal;
    }
  }

  return img;
}

About a few days of struggling with the CamerImage to Image conversion, I managed to improve the method to include paddnig on different devices. I tested on several devices, checking the conversion at different camera resolutions. And I think it works.

imglib.Image convertYUV420ToImage(CameraImage cameraImage) {
    final imageWidth = cameraImage.width;
    final imageHeight = cameraImage.height;

    final yBuffer = cameraImage.planes[0].bytes;
    final uBuffer = cameraImage.planes[1].bytes;
    final vBuffer = cameraImage.planes[2].bytes;

    final int yRowStride = cameraImage.planes[0].bytesPerRow;
    final int yPixelStride = cameraImage.planes[0].bytesPerPixel!;

    final int uvRowStride = cameraImage.planes[1].bytesPerRow;
    final int uvPixelStride = cameraImage.planes[1].bytesPerPixel!;

    final image = imglib.Image(imageWidth, imageHeight);

    for (int h = 0; h < imageHeight; h++) {
      int uvh = (h / 2).floor();

      for (int w = 0; w < imageWidth; w++) {
        int uvw = (w / 2).floor();

        final yIndex = (h * yRowStride) + (w * yPixelStride);

        // Y plane should have positive values belonging to [0...255]
        final int y = yBuffer[yIndex];

        // U/V Values are subsampled i.e. each pixel in U/V chanel in a
        // YUV_420 image act as chroma value for 4 neighbouring pixels
        final int uvIndex = (uvh * uvRowStride) + (uvw * uvPixelStride);

        // U/V values ideally fall under [-0.5, 0.5] range. To fit them into
        // [0, 255] range they are scaled up and centered to 128.
        // Operation below brings U/V values to [-128, 127].
        final int u = uBuffer[uvIndex];
        final int v = vBuffer[uvIndex];

        // Compute RGB values per formula above.
        int r = (y + v * 1436 / 1024 - 179).round();
        int g = (y - u * 46549 / 131072 + 44 - v * 93604 / 131072 + 91).round();
        int b = (y + u * 1814 / 1024 - 227).round();

        r = r.clamp(0, 255);
        g = g.clamp(0, 255);
        b = b.clamp(0, 255);

        // Use 255 for alpha value, no transparency. ARGB values are
        // positioned in each byte of a single 4 byte integer
        // [AAAAAAAARRRRRRRRGGGGGGGGBBBBBBBB]
        final int argbIndex = h * imageWidth + w;

        image.data[argbIndex] = 0xff000000 |
            ((b << 16) & 0xff0000) |
            ((g << 8) & 0xff00) |
            (r & 0xff);
      }
    }

    return image;
  }

Does this work for iOS ?

Hi @prkhrv,
Please take a look at nv21 to Image
In my project, the solution is work for me.