我没有成像或图形背景,所以请耐心等待:)
我在我的一个项目中使用JavaCV。在examples中,构造了一个Frame
,它具有certain size的缓冲区。
在Android中使用public void onPreviewFrame(byte[] data, Camera camera)
函数时,如果将data
声明为Frame
(其中new Frame(frameWidth, frameHeight, Frame.DEPTH_UBYTE, 2);
和frameWidth
声明为),则复制此frameHeight
字节数组没有问题。
Camera.Size previewSize = cameraParam.getPreviewSize();
int frameWidth = previewSize.width;
int frameHeight = previewSize.height;
最近,Android添加了一种捕获屏幕的方法。自然,我想获取这些图像,并将它们隐藏到
Frame
中。我修改了the example code from Google以使用ImageReader。此
ImageReader
构造为ImageReader.newInstance(DISPLAY_WIDTH, DISPLAY_HEIGHT, PixelFormat.RGBA_8888, 2);
。因此,当前它使用RGBA_8888像素格式。我使用以下代码将字节复制到Frame
,该实例化为new Frame(DISPLAY_WIDTH, DISPLAY_HEIGHT, Frame.DEPTH_UBYTE, 2);
:ByteBuffer buffer = mImage.getPlanes()[0].getBuffer();
byte[] bytes = new byte[buffer.remaining()];
buffer.get(bytes);
mImage.close();
((ByteBuffer) frame.image[0].position(0)).put(bytes);
但是,这给了我一个
java.nio.BufferOverflowException
。我打印了两个缓冲区的大小,并且Frame的缓冲区大小为691200,而上面的bytes
数组的大小为1413056
。由于I ran into this native call,无法弄清楚后一个数字是如何构造的。显然,这将无法解决。经过大量的挖掘,我发现NV21 image format是“相机预览图像的默认格式,当未使用setPreviewFormat(int)进行其他设置时),而是ImageReader class does not support the NV21 format(请参阅format参数)。所以这真是不幸。在文档中它还显示
“对于android.hardware.camera2 API,建议将YUV_420_888格式用于YUV输出。”
所以我尝试创建一个像
ImageReader.newInstance(DISPLAY_WIDTH, DISPLAY_HEIGHT, ImageFormat.YUV_420_888, 2);
这样的ImageReader,但是这给了我java.lang.UnsupportedOperationException: The producer output buffer format 0x1 doesn't match the ImageReader's configured buffer format 0x23.
,所以也不起作用。作为最后的手段,我尝试使用例如this post,但是我不明白如何根据答案获取
int[] rgba
。因此,TL; DR 如何像在Android的
public void onPreviewFrame(byte[] data, Camera camera)
摄像头功能中获取的那样获取NV21图像数据,以实例化我的Frame
并使用Android的ImageReader(和Media Projection)对其进行处理? 编辑(25-10-2016)
我创建了以下可转换为RGBA到NV21格式的转换:
private class updateImage implements Runnable {
private final Image mImage;
public updateImage(Image image) {
mImage = image;
}
@Override
public void run() {
int mWidth = mImage.getWidth();
int mHeight = mImage.getHeight();
// Four bytes per pixel: width * height * 4.
byte[] rgbaBytes = new byte[mWidth * mHeight * 4];
// put the data into the rgbaBytes array.
mImage.getPlanes()[0].getBuffer().get(rgbaBytes);
mImage.close(); // Access to the image is no longer needed, release it.
// Create a yuv byte array: width * height * 1.5 ().
byte[] yuv = new byte[mWidth * mHeight * 3 / 2];
RGBtoNV21(yuv, rgbaBytes, mWidth, mHeight);
((ByteBuffer) yuvImage.image[0].position(0)).put(yuv);
}
void RGBtoNV21(byte[] yuv420sp, byte[] argb, int width, int height) {
final int frameSize = width * height;
int yIndex = 0;
int uvIndex = frameSize;
int A, R, G, B, Y, U, V;
int index = 0;
int rgbIndex = 0;
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
R = argb[rgbIndex++];
G = argb[rgbIndex++];
B = argb[rgbIndex++];
A = argb[rgbIndex++]; // Ignored right now.
// RGB to YUV conversion according to
// https://en.wikipedia.org/wiki/YUV#Y.E2.80.B2UV444_to_RGB888_conversion
Y = ((66 * R + 129 * G + 25 * B + 128) >> 8) + 16;
U = ((-38 * R - 74 * G + 112 * B + 128) >> 8) + 128;
V = ((112 * R - 94 * G - 18 * B + 128) >> 8) + 128;
// NV21 has a plane of Y and interleaved planes of VU each sampled by a factor
// of 2 meaning for every 4 Y pixels there are 1 V and 1 U.
// Note the sampling is every other pixel AND every other scanline.
yuv420sp[yIndex++] = (byte) ((Y < 0) ? 0 : ((Y > 255) ? 255 : Y));
if (i % 2 == 0 && index % 2 == 0) {
yuv420sp[uvIndex++] = (byte) ((V < 0) ? 0 : ((V > 255) ? 255 : V));
yuv420sp[uvIndex++] = (byte) ((U < 0) ? 0 : ((U > 255) ? 255 : U));
}
index++;
}
}
}
}
yuvImage
对象初始化为yuvImage = new Frame(DISPLAY_WIDTH, DISPLAY_HEIGHT, Frame.DEPTH_UBYTE, 2);
,DISPLAY_WIDTH
和DISPLAY_HEIGHT
只是两个整数,用于指定显示大小。这是后台处理程序处理onImageReady的代码:
private final ImageReader.OnImageAvailableListener mOnImageAvailableListener
= new ImageReader.OnImageAvailableListener() {
@Override
public void onImageAvailable(ImageReader reader) {
mBackgroundHandler.post(new updateImage(reader.acquireNextImage()));
}
};
...
mImageReader = ImageReader.newInstance(DISPLAY_WIDTH, DISPLAY_HEIGHT, PixelFormat.RGBA_8888, 2);
mImageReader.setOnImageAvailableListener(mOnImageAvailableListener, mBackgroundHandler);
该方法有效,我至少没有收到任何错误,但是输出图像格式错误。我的转换出了什么问题?正在创建的示例图像:
编辑(15-11-2016)
我已将
RGBtoNV21
函数修改为以下内容:void RGBtoNV21(byte[] yuv420sp, int width, int height) {
try {
final int frameSize = width * height;
int yIndex = 0;
int uvIndex = frameSize;
int pixelStride = mImage.getPlanes()[0].getPixelStride();
int rowStride = mImage.getPlanes()[0].getRowStride();
int rowPadding = rowStride - pixelStride * width;
ByteBuffer buffer = mImage.getPlanes()[0].getBuffer();
Bitmap bitmap = Bitmap.createBitmap(getResources().getDisplayMetrics(), width, height, Bitmap.Config.ARGB_8888);
int A, R, G, B, Y, U, V;
int offset = 0;
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
// Useful link: https://stackoverflow.com/questions/26673127/android-imagereader-acquirelatestimage-returns-invalid-jpg
R = (buffer.get(offset) & 0xff) << 16; // R
G = (buffer.get(offset + 1) & 0xff) << 8; // G
B = (buffer.get(offset + 2) & 0xff); // B
A = (buffer.get(offset + 3) & 0xff) << 24; // A
offset += pixelStride;
int pixel = 0;
pixel |= R; // R
pixel |= G; // G
pixel |= B; // B
pixel |= A; // A
bitmap.setPixel(j, i, pixel);
// RGB to YUV conversion according to
// https://en.wikipedia.org/wiki/YUV#Y.E2.80.B2UV444_to_RGB888_conversion
// Y = ((66 * R + 129 * G + 25 * B + 128) >> 8) + 16;
// U = ((-38 * R - 74 * G + 112 * B + 128) >> 8) + 128;
// V = ((112 * R - 94 * G - 18 * B + 128) >> 8) + 128;
Y = (int) Math.round(R * .299000 + G * .587000 + B * .114000);
U = (int) Math.round(R * -.168736 + G * -.331264 + B * .500000 + 128);
V = (int) Math.round(R * .500000 + G * -.418688 + B * -.081312 + 128);
// NV21 has a plane of Y and interleaved planes of VU each sampled by a factor
// of 2 meaning for every 4 Y pixels there are 1 V and 1 U.
// Note the sampling is every other pixel AND every other scanline.
yuv420sp[yIndex++] = (byte) ((Y < 0) ? 0 : ((Y > 255) ? 255 : Y));
if (i % 2 == 0 && j % 2 == 0) {
yuv420sp[uvIndex++] = (byte) ((V < 0) ? 0 : ((V > 255) ? 255 : V));
yuv420sp[uvIndex++] = (byte) ((U < 0) ? 0 : ((U > 255) ? 255 : U));
}
}
offset += rowPadding;
}
File file = new File(Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES).getAbsolutePath(), "/Awesomebitmap.png");
FileOutputStream fos = new FileOutputStream(file);
bitmap.compress(Bitmap.CompressFormat.PNG, 100, fos);
} catch (Exception e) {
Timber.e(e, "Converting image to NV21 went wrong.");
}
}
现在,图像不再畸形,但是色度关闭。
右侧是在该循环中创建的位图,左侧是保存到图像的NV21。因此,可以正确处理RGB像素。显然,色度已关闭,但是RGB到YUV的转换应与维基百科描述的相同。这有什么问题吗?
最佳答案
一般来说,ImageReader的目的是让您以最小的开销对发送到Surface的像素进行原始访问,因此尝试使其执行颜色转换是没有意义的。
对于摄像机,您可以选择两种输出格式(NV21或YV12)之一,因此选择YV12。那是您原始的YUV数据。对于屏幕捕获,输出将始终为RGB,因此您需要为ImageReader选择 RGBA_8888
(format 0x1)而不是 YUV_420_888
(format 0x23)。如果您需要YUV,则必须自己进行转换。 ImageReader为您提供了一系列的Plane
对象,而不是byte[]
,因此您需要对此进行调整。