如何转换和旋转原始NV21阵列图像(android.media.Image)从onImageAvailable(android相机2)前凸轮肖像模式?
注:我的文章中的所有信息仅适用于Samsung Galaxy S7设备。我不知道仿真器和其他设备的行为。如何转换和旋转原始NV21阵列图像(android.media.Image)从onImageAvailable(android相机2)前凸轮肖像模式?
在onImageAvailable中,我将每个图像连续转换为一个NV21字节数组,并将其转发给期望原始NV21格式的API。
这是我的初始化图像读取器和接收图像:
private void openCamera() {
...
mImageReader = ImageReader.newInstance(WIDTH, HEIGHT,
ImageFormat.YUV_420_888, 1); // only 1 for best performance
mImageReader.setOnImageAvailableListener(
mOnImageAvailableListener, mBackgroundHandler);
...
}
private final ImageReader.OnImageAvailableListener mOnImageAvailableListener
= new ImageReader.OnImageAvailableListener() {
@Override
public void onImageAvailable(ImageReader reader) {
Image image = reader.acquireLatestImage();
if (image != null) {
byte[] data = convertYUV420ToNV21_ALL_PLANES(image); // this image is turned 90 deg using front cam in portrait mode
byte[] data_rotated = rotateNV21_working(data, WIDTH, HEIGHT, 270);
ForwardToAPI(data_rotated); // image data is being forwarded to api and received later on
image.close();
}
}
};
该功能将图像转换为原始NV21(from here),做工精细,形象(因为到Android?)由关在纵向模式使用前凸轮时90度: (I改性它,稍根据亚历科恩的评论)
private byte[] convertYUV420ToNV21_ALL_PLANES(Image imgYUV420) {
byte[] rez;
ByteBuffer buffer0 = imgYUV420.getPlanes()[0].getBuffer();
ByteBuffer buffer1 = imgYUV420.getPlanes()[1].getBuffer();
ByteBuffer buffer2 = imgYUV420.getPlanes()[2].getBuffer();
// actually here should be something like each second byte
// however I simply get the last byte of buffer 2 and the entire buffer 1
int buffer0_size = buffer0.remaining();
int buffer1_size = buffer1.remaining(); ///2 + 1;
int buffer2_size = 1;//buffer2.remaining(); ///2 + 1;
byte[] buffer0_byte = new byte[buffer0_size];
byte[] buffer1_byte = new byte[buffer1_size];
byte[] buffer2_byte = new byte[buffer2_size];
buffer0.get(buffer0_byte, 0, buffer0_size);
buffer1.get(buffer1_byte, 0, buffer1_size);
buffer2.get(buffer2_byte, buffer2_size-1, buffer2_size);
ByteArrayOutputStream outputStream = new ByteArrayOutputStream();
try {
// swap 1 and 2 as blue and red colors are swapped
outputStream.write(buffer0_byte);
outputStream.write(buffer2_byte);
outputStream.write(buffer1_byte);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
rez = outputStream.toByteArray();
return rez;
}
因此,“数据”需要被旋转。使用此功能(from here),我得到交错怪异3倍的图像错误:
public static byte[] rotateNV21(byte[] input, int width, int height, int rotation) {
byte[] output = new byte[input.length];
boolean swap = (rotation == 90 || rotation == 270);
// **EDIT:** in portrait mode & front cam this needs to be set to true:
boolean yflip = true;// (rotation == 90 || rotation == 180);
boolean xflip = (rotation == 270 || rotation == 180);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
int xo = x, yo = y;
int w = width, h = height;
int xi = xo, yi = yo;
if (swap) {
xi = w * yo/h;
yi = h * xo/w;
}
if (yflip) {
yi = h - yi - 1;
}
if (xflip) {
xi = w - xi - 1;
}
output[w * yo + xo] = input[w * yi + xi];
int fs = w * h;
int qs = (fs >> 2);
xi = (xi >> 1);
yi = (yi >> 1);
xo = (xo >> 1);
yo = (yo >> 1);
w = (w >> 1);
h = (h >> 1);
// adjust for interleave here
int ui = fs + (w * yi + xi) * 2;
int uo = fs + (w * yo + xo) * 2;
// and here
int vi = ui + 1;
int vo = uo + 1;
output[uo] = input[ui];
output[vo] = input[vi];
}
}
return output;
}
所得到这样的画面:
注:它仍然是相同的杯,但是你会看到它3-4次。
使用另一个建议旋转功能from here给出正确的结果:
public static byte[] rotateNV21_working(final byte[] yuv,
final int width,
final int height,
final int rotation)
{
if (rotation == 0) return yuv;
if (rotation % 90 != 0 || rotation < 0 || rotation > 270) {
throw new IllegalArgumentException("0 <= rotation < 360, rotation % 90 == 0");
}
final byte[] output = new byte[yuv.length];
final int frameSize = width * height;
final boolean swap = rotation % 180 != 0;
final boolean xflip = rotation % 270 != 0;
final boolean yflip = rotation >= 180;
for (int j = 0; j < height; j++) {
for (int i = 0; i < width; i++) {
final int yIn = j * width + i;
final int uIn = frameSize + (j >> 1) * width + (i & ~1);
final int vIn = uIn + 1;
final int wOut = swap ? height : width;
final int hOut = swap ? width : height;
final int iSwapped = swap ? j : i;
final int jSwapped = swap ? i : j;
final int iOut = xflip ? wOut - iSwapped - 1 : iSwapped;
final int jOut = yflip ? hOut - jSwapped - 1 : jSwapped;
final int yOut = jOut * wOut + iOut;
final int uOut = frameSize + (jOut >> 1) * wOut + (iOut & ~1);
final int vOut = uOut + 1;
output[yOut] = (byte)(0xff & yuv[yIn]);
output[uOut] = (byte)(0xff & yuv[uIn]);
output[vOut] = (byte)(0xff & yuv[vIn]);
}
}
return output;
}
结果现在是细:
将顶部图像示出了直接流使用纹理视图的表面并将其添加到captureRequestBuilder。底部图像显示旋转后的原始图像数据。
的问题是:
- 这是否黑客在 “convertYUV420ToNV21_ALL_PLANES” 工作在任何 设备/模拟器?
- 为什么rotateNV21不起作用,而rotateNV21_working正常工作。
编辑:镜像问题已修复,请参阅代码注释。挤压问题是固定的,它是由它转发的API引起的。 实际的开放问题是一个适当的不太昂贵的功能,将图像转换并转换为在任何设备上工作的原始NV21。
所以,这里是正确的代码转换的图片到NV21的byte []。这将工作wehn的imgYUV420 U和V平面有pixelStride = 1(如在仿真器)或pixelStride = 1(如在Nexus):
private byte[] convertYUV420ToNV21_ALL_PLANES(Image imgYUV420) {
assert(imgYUV420.getFormat() == ImageFormat.YUV_420_888);
Log.d(TAG, "image: " + imgYUV420.getWidth() + "x" + imgYUV420.getHeight() + " " + imgYUV420.getFormat());
Log.d(TAG, "planes: " + imgYUV420.getPlanes().length);
for (int nplane = 0; nplane < imgYUV420.getPlanes().length; nplane++) {
Log.d(TAG, "plane[" + nplane + "]: length " + imgYUV420.getPlanes()[nplane].getBuffer().remaining() + ", strides: " + imgYUV420.getPlanes()[nplane].getPixelStride() + " " + imgYUV420.getPlanes()[nplane].getRowStride());
}
byte[] rez = new byte[imgYUV420.getWidth() * imgYUV420.getHeight() * 3/2];
ByteBuffer buffer0 = imgYUV420.getPlanes()[0].getBuffer();
ByteBuffer buffer1 = imgYUV420.getPlanes()[1].getBuffer();
ByteBuffer buffer2 = imgYUV420.getPlanes()[2].getBuffer();
int n = 0;
assert(imgYUV420.getPlanes()[0].getPixelStride() == 1);
for (int row = 0; row < imgYUV420.getHeight(); row++) {
for (int col = 0; col < imgYUV420.getWidth(); col++) {
rez[n++] = buffer0.get();
}
}
assert(imgYUV420.getPlanes()[2].getPixelStride() == imgYUV420.getPlanes()[1].getPixelStride());
int stride = imgYUV420.getPlanes()[1].getPixelStride();
for (int row = 0; row < imgYUV420.getHeight(); row += 2) {
for (int col = 0; col < imgYUV420.getWidth(); col += 2) {
rez[n++] = buffer1.get();
rez[n++] = buffer2.get();
for (int skip = 1; skip < stride; skip++) {
if (buffer1.remaining() > 0) {
buffer1.get();
}
if (buffer2.remaining() > 0) {
buffer2.get();
}
}
}
}
Log.w(TAG, "total: " + rez.length);
return rez;
}
正如你所看到的,这是很容易改变这种代码产生旋转的图像在一个单一的步骤:
private byte[] rotateYUV420ToNV21(Image imgYUV420) {
Log.d(TAG, "image: " + imgYUV420.getWidth() + "x" + imgYUV420.getHeight() + " " + imgYUV420.getFormat());
Log.d(TAG, "planes: " + imgYUV420.getPlanes().length);
for (int nplane = 0; nplane < imgYUV420.getPlanes().length; nplane++) {
Log.d(TAG, "plane[" + nplane + "]: length " + imgYUV420.getPlanes()[nplane].getBuffer().remaining() + ", strides: " + imgYUV420.getPlanes()[nplane].getPixelStride() + " " + imgYUV420.getPlanes()[nplane].getRowStride());
}
byte[] rez = new byte[imgYUV420.getWidth() * imgYUV420.getHeight() * 3/2];
ByteBuffer buffer0 = imgYUV420.getPlanes()[0].getBuffer();
ByteBuffer buffer1 = imgYUV420.getPlanes()[1].getBuffer();
ByteBuffer buffer2 = imgYUV420.getPlanes()[2].getBuffer();
int width = imgYUV420.getHeight();
assert(imgYUV420.getPlanes()[0].getPixelStride() == 1);
for (int row = imgYUV420.getHeight()-1; row >=0; row--) {
for (int col = 0; col < imgYUV420.getWidth(); col++) {
rez[col*width+row] = buffer0.get();
}
}
int uv_offset = imgYUV420.getWidth()*imgYUV420.getHeight();
assert(imgYUV420.getPlanes()[2].getPixelStride() == imgYUV420.getPlanes()[1].getPixelStride());
int stride = imgYUV420.getPlanes()[1].getPixelStride();
for (int row = imgYUV420.getHeight() - 2; row >= 0; row -= 2) {
for (int col = 0; col < imgYUV420.getWidth(); col += 2) {
rez[uv_offset+col/2*width+row] = buffer1.get();
rez[uv_offset+col/2*width+row+1] = buffer2.get();
for (int skip = 1; skip < stride; skip++) {
if (buffer1.remaining() > 0) {
buffer1.get();
}
if (buffer2.remaining() > 0) {
buffer2.get();
}
}
}
}
Log.w(TAG, "total rotated: " + rez.length);
return rez;
}
我真诚地建议网站http://rawpixels.net/看到你的原始图像的实际结构。
阅读每个第二个字节(如果stride = 1)或我的编辑函数(请参阅原始文章convertYUV420ToNV21_ALL_PLANES)之间是否有任何区别。我只是简单地抓取buffer1,并且只抓取buffer2的最后一个字节。 (我回到了旋转,谢谢一堆!) – ray
[API](https://developer.android.com/reference/android/graphics/ImageFormat.html#YUV_420_888)不保证** U **和** V **将交错,并不保证相反。唯一可信的事实是,您必须在像素之间跳过'getPixelStride()'字节。 –
您的解决方案似乎是所有设备上唯一适合的功能。但是在我的设备(Galaxy S7)上,I(再次)必须交换buffer1和buffer2以避免混合的红/蓝色,并且顺时针旋转而不是反向。最大的问题是性能。使用这个函数几乎可以完全冻结应用程序,我可能每隔5秒更新一次帧,而之前我可能会有5-10帧。我相应地修改了这个问题,请在顶部的帖子中查看我的评论。 – ray
从表面上看,旋转后的图像应该让杯子侧卧,不是吗? –
@AlexCohn:杯子不应该被“挤压”,因为它现在在底部图片上。如果我显示“数据”,我可以看到与上面90度转动的图片完全相同的图片。因此,我使用的是“rotateNV21”,但是出现了图片被挤压的问题,即宽度太高,高度太低。这是我需要解决的问题。 – ray
你的意思是,你屏幕截图中的顶部图像旋转了90°? –