AFAIK，ImageAnalysis用例仅提供YUV_420_888格式的图像（您可以看到它定义为here）。
官方的CameraX文档提供了一种将YUV图像转换为RGB位图的方法，它位于本节的底部。
有关显示如何将Media.Image对象从YUV_420_888格式转换为RGB Bitmap对象的示例代码，请参见YuvToRgbConverter.kt。

ImageAnalysis用例现在提供YUV_420_888以及RGBA_8888格式的图像，TFLite解释器支持这两种格式。

• • 用法：**

val imageAnalysis = ImageAnalysis.Builder()
            .setTargetAspectRatio(AspectRatio.RATIO_16_9)
            .setTargetRotation(viewFinder.display.rotation)
            .setBackpressureStrategy(ImageAnalysis.STRATEGY_BLOCK_PRODUCER)
            .setOutputImageFormat(ImageAnalysis.OUTPUT_IMAGE_FORMAT_RGBA_8888)
            .build()

imageAnalysis.setAnalyzer(executor, ImageAnalysis.Analyzer { image ->
            if (!::bitmapBuffer.isInitialized) {
                // The image rotation and RGB image buffer are initialized only once
                // the analyzer has started running
                imageRotationDegrees = image.imageInfo.rotationDegrees
                bitmapBuffer = Bitmap.createBitmap(
                    image.width, image.height, Bitmap.Config.ARGB_8888)
            }

            // Copy out RGB bits to our shared buffer
            image.use { bitmapBuffer.copyPixelsFromBuffer(image.planes[0].buffer)  }
            image.close()

val imageProcessor =
        ImageProcessor.Builder()
            .add(Rot90Op(-frame.imageRotationDegrees / 90))
            .build()

    // Preprocess the image and convert it into a TensorImage for detection.
    val tensorImage = imageProcessor.process(TensorImage.fromBitmap(frame.bitmapBuffer))
    
val results = objectDetector?.detect(tensorImage)
}

查看官方示例应用了解更多详情：https://github.com/tensorflow/examples/blob/master/lite/examples/object_detection/android_play_services/app/src/main/java/org/tensorflow/lite/examples/objectdetection/fragments/CameraFragment.kt