Android CameraX |颜色检测

Question

我正在Android上使用新的CameraX。

我做了一个基本的应用程序（类似于“入门”），其中我有一个相机预览和一个亮度分析器。每秒钟我都会在文本视图中显示我的LUMONITY。

现在，按照CameraX指南，我想做颜色检测。每隔一秒钟左右，我想让屏幕中央像素的颜色。

事实上，我不知道如何按照与光度分析器相同的结构进行颜色检测。

光度分析仪等级：

class LuminosityAnalyzer : ImageAnalysis.Analyzer {

private var lastTimeStamp = 0L
private val TAG = this.javaClass.simpleName
var luma = BehaviorSubject.create<Double>()

override fun analyze(image: ImageProxy, rotationDegrees: Int) {
    val currentTimeStamp = System.currentTimeMillis()
    val intervalInSeconds = TimeUnit.SECONDS.toMillis(1)
    val deltaTime = currentTimeStamp - lastTimeStamp
    if(deltaTime >= intervalInSeconds) {
        val buffer = image.planes[0].buffer
        val data = buffer.toByteArray()
        val pixels = data.map { it.toInt() and 0xFF }
        luma.onNext(pixels.average())
        lastTimeStamp = currentTimeStamp
        Log.d(TAG, "Average luminosity: ${luma.value}")
    }


private fun ByteBuffer.toByteArray(): ByteArray {
    rewind()
    val data = ByteArray(remaining())
    get(data)
    return data
}
}

主要活动：

/* display the luminosity */
private fun createLuminosityAnalyzer(): ImageAnalysis{
    val analyzerConfig = ImageAnalysisConfig.Builder().apply {
        setLensFacing(lensFacing)
        setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE)
    }.build()

    val analyzer = ImageAnalysis(analyzerConfig).apply {
        val luminosityAnalyzer = LuminosityAnalyzer()
        luminosityAnalyzer.luma
            .observeOn(AndroidSchedulers.mainThread())
            .subscribe({
            // success
            luminosity.text = it.toString()
        },{
            // error
            Log.d(TAG, "Can not get luminosity :(")
        })
        setAnalyzer(executor, luminosityAnalyzer)
    }
    return analyzer
}

除了成为色彩分析仪，我如何做同等的事情？

Answer 1

所以我想出了自己的办法

颜色分析仪类：

class ColorAnalyzer : ImageAnalysis.Analyzer {

private var lastTimeStamp = 0L
private val TAG = this.javaClass.simpleName
var hexColor = BehaviorSubject.create<Any>()

/* every 100ms, analyze the image we receive from camera */
override fun analyze(image: ImageProxy, rotationDegrees: Int) {
    val currentTimeStamp = System.currentTimeMillis()
    val intervalInMilliSeconds = TimeUnit.MILLISECONDS.toMillis(100)
    val deltaTime = currentTimeStamp - lastTimeStamp
    if(deltaTime >= intervalInMilliSeconds) {

        val imageBitmap = image.image?.toBitmap()
        val pixel = imageBitmap!!.getPixel((imageBitmap.width/2), (imageBitmap.height/2))
        val red = Color.red(pixel)
        val blue = Color.blue(pixel)
        val green = Color.green(pixel)
        hexColor.onNext(String.format("#%02x%02x%02x", red, green, blue))
        Log.d(TAG, "Color: ${hexColor.value}")

        lastTimeStamp = currentTimeStamp
    }
}

// convert the image into a bitmap
private fun Image.toBitmap(): Bitmap {
    val yBuffer = planes[0].buffer // Y
    val uBuffer = planes[1].buffer // U
    val vBuffer = planes[2].buffer // V

    val ySize = yBuffer.remaining()
    val uSize = uBuffer.remaining()
    val vSize = vBuffer.remaining()

    val nv21 = ByteArray(ySize + uSize + vSize)

    yBuffer.get(nv21, 0, ySize)
    vBuffer.get(nv21, ySize, vSize)
    uBuffer.get(nv21, ySize + vSize, uSize)

    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)
}
}

主要活动：

 /* Get the color from Color Analyzer Class */
private fun createColorAnalyzer(): ImageAnalysis{
    val analyzerConfig = ImageAnalysisConfig.Builder().apply {
        setLensFacing(lensFacing)
        setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE)
    }.build()

    val analyzer = ImageAnalysis(analyzerConfig).apply {
        val colorAnalyzer = ColorAnalyzer()
        colorAnalyzer.hexColor
            .observeOn(AndroidSchedulers.mainThread())
            .subscribe({
                // success
                colorName.text = it.toString() //hexa code in the textView
                colorName.setBackgroundColor(Color.parseColor(it.toString())) //background color of the textView
                (sight.drawable as GradientDrawable).setStroke(10, Color.parseColor(it.toString())) //border color of the sight in the middle of the screen
            },{
                // error
                Log.d(TAG, "Can not get color :(")
            })
        setAnalyzer(executor, colorAnalyzer)
    }
    return analyzer
}

希望对某人有用；）

编辑：

如果您阅读@Minhaz答案，请通过图像获取颜色-

这是使用静态编程语言的Minhaz答案。

颜色分析仪类：

class ColorAnalyzer : ImageAnalysis.Analyzer {

private var lastAnalyzedTimestamp = 0L


private fun ByteBuffer.toByteArray(): ByteArray {
    rewind()    // Rewind the buffer to zero
    val data = ByteArray(remaining())
    get(data)   // Copy the buffer into a byte array
    return data // Return the byte array
}


private fun getRGBfromYUV(image: ImageProxy): Triple<Double, Double, Double> {
    val planes = image.planes

    val height = image.height
    val width = image.width

    // Y
    val yArr = planes[0].buffer
    val yArrByteArray = yArr.toByteArray()
    val yPixelStride = planes[0].pixelStride
    val yRowStride = planes[0].rowStride

    // U
    val uArr = planes[1].buffer
    val uArrByteArray =uArr.toByteArray()
    val uPixelStride = planes[1].pixelStride
    val uRowStride = planes[1].rowStride

    // V
    val vArr = planes[2].buffer
    val vArrByteArray = vArr.toByteArray()
    val vPixelStride = planes[2].pixelStride
    val vRowStride = planes[2].rowStride

    val y = yArrByteArray[(height * yRowStride + width * yPixelStride) / 2].toInt() and 255
    val u = (uArrByteArray[(height * uRowStride + width * uPixelStride) / 4].toInt() and 255) - 128
    val v = (vArrByteArray[(height * vRowStride + width * vPixelStride) / 4].toInt() and 255) - 128

    val r = y + (1.370705 * v)
    val g = y - (0.698001 * v) - (0.337633 * u)
    val b = y + (1.732446 * u)

    return Triple(r,g,b)
}


// analyze the color
override fun analyze(image: ImageProxy, rotationDegrees: Int) {
    val currentTimestamp = System.currentTimeMillis()
    if (currentTimestamp - lastAnalyzedTimestamp >= TimeUnit.MILLISECONDS.toMillis(100)) {

        val colors = getRGBfromYUV(image)
        var hexColor = String.format("#%02x%02x%02x", colors.first.toInt(), colors.second.toInt(), colors.third.toInt())
        Log.d("test", "hexColor: $hexColor")

        lastAnalyzedTimestamp = currentTimestamp
    }

}
}

Answer 2

如评论中所述，如果您的目标是仅获取中心像素颜色，则将整个YUV图像转换为位图，然后分析中心值的逻辑可能非常低效。您可以通过瞄准正确的像素直接查看YUV图像中的颜色。在YUV图像中，有三个平面，一个代表Y（每像素1字节）和U

planes = imageProxy.getPlanes()

val height = imageProxy.getHeight()
val width = imageProxy.getWidth()

// You may have to find the logic to get array from ByteBuffer
// Y
val yArr = planes[0].buffer.array()
val yPixelStride = planes[0].getPixelStride()
val yRowStride = planes[0].getRowStride()

// U
val uArr = planes[1].buffer.array()
val uPixelStride = planes[1].getPixelStride()
val uRowStride = planes[1].getRowStride()

// V
val vArr = planes[2].buffer.array()
val vPixelStride = planes[2].getPixelStride()
val vRowStride = planes[2].getRowStride()

val y = yArr[(height * yRowStride + width * yPixelStride) / 2] & 255 
val u = (uArr[(height * uRowStride + width * uPixelStride) / 4] & 255) - 128
val v = (vArr[(height * vRowStride + width * vPixelStride) / 4] & 255) - 128 

val r = y + (1.370705 * v);
val g = y - (0.698001 * v) - (0.337633 * u);
val b = y + (1.732446 * u);

魔法值参考：https://en.wikipedia.org/wiki/YUV#YUV420sp_（NV21）_to_RGB_conversion_（Android）

尝试在静态编程语言代码中使用此逻辑，看看它是否工作正常，并且对于实时操作来说是否快速。这肯定会将O（高度*宽度）操作降低到恒定的时间复杂度。