So, I wanted to explore new Google's Camera API - CameraX. What I want to do, is take an image from camera feed every second and then pass it into a function that accepts bitmap for machine learning purposes. 
I read the documentation on Camera X Image Analyzer:
The image analysis use case provides your app with a CPU-accessible image to perform image processing, computer vision, or machine learning inference on. The application implements an Analyzer method that is run on each frame.
..which basically is what I need. So, I implemented this image analyzer like this:
imageAnalysis.setAnalyzer { image: ImageProxy, _: Int ->     viewModel.onAnalyzeImage(image) }   What I get is image: ImageProxy. How can I transfer this ImageProxy to Bitmap?
I tried to solve it like this:
fun decodeBitmap(image: ImageProxy): Bitmap? {     val buffer = image.planes[0].buffer     val bytes = ByteArray(buffer.capacity()).also { buffer.get(it) }     return BitmapFactory.decodeByteArray(bytes, 0, bytes.size) }   But it returns null - because decodeByteArray does not receive valid (?) bitmap bytes. Any ideas?
You will need to check the image.format to see if it is ImageFormat.YUV_420_888. If so , then you can you use this extension to convert image to bitmap:
fun Image.toBitmap(): Bitmap {     val yBuffer = planes[0].buffer // Y     val vuBuffer = planes[2].buffer // VU      val ySize = yBuffer.remaining()     val vuSize = vuBuffer.remaining()      val nv21 = ByteArray(ySize + vuSize)      yBuffer.get(nv21, 0, ySize)     vuBuffer.get(nv21, ySize, vuSize)      val yuvImage = YuvImage(nv21, ImageFormat.NV21, this.width, this.height, null)     val out = ByteArrayOutputStream()     yuvImage.compressToJpeg(Rect(0, 0, yuvImage.width, yuvImage.height), 50, out)     val imageBytes = out.toByteArray()     return BitmapFactory.decodeByteArray(imageBytes, 0, imageBytes.size) }  This works for a number of camera configurations. However, you might need to use a more advanced method that considers pixel strides.
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