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目录

java imagereader编码保存

java NV21toYUV420SemiPlanar 编码保存视频用：

imageReader获取nv21

jni NV12toYUV420SemiPlanar函数：

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代码来自博客：

【Android Camera2】彻底弄清图像数据YUV420_888转NV21问题/良心教学/避坑必读!_yuv420888转nv21_奔跑的鲁班七号的博客-CSDN博客

java imagereader编码保存

//Planar格式（P）的处理private static ByteBuffer getuvBufferWithoutPaddingP(ByteBuffer uBuffer,ByteBuffer vBuffer, int width, int height, int rowStride, int pixelStride){int pos = 0;byte []byteArray = new byte[height*width/2];for (int row=0; row<height/2; row++) {for (int col=0; col<width/2; col++) {int vuPos = col*pixelStride + row*rowStride;byteArray[pos++] = vBuffer.get(vuPos);byteArray[pos++] = uBuffer.get(vuPos);}}ByteBuffer bufferWithoutPaddings=ByteBuffer.allocate(byteArray.length);// 数组放到buffer中bufferWithoutPaddings.put(byteArray);//重置 limit 和postion 值否则 buffer 读取数据不对bufferWithoutPaddings.flip();return bufferWithoutPaddings;}//Semi-Planar格式（SP）的处理和y通道的数据private static ByteBuffer getBufferWithoutPadding(ByteBuffer buffer, int width, int rowStride, int times,boolean isVbuffer){if(width == rowStride) return buffer;  //没有buffer,不用处理。int bufferPos = buffer.position();int cap = buffer.capacity();byte []byteArray = new byte[times*width];int pos = 0;//对于y平面，要逐行赋值的次数就是height次。对于uv交替的平面，赋值的次数是height/2次for (int i=0;i<times;i++) {buffer.position(bufferPos);//part 1.1 对于u,v通道,会缺失最后一个像u值或者v值，因此需要特殊处理，否则会crashif(isVbuffer && i==times-1){width = width -1;}buffer.get(byteArray, pos, width);bufferPos+= rowStride;pos = pos+width;}//nv21数组转成buffer并返回ByteBuffer bufferWithoutPaddings=ByteBuffer.allocate(byteArray.length);// 数组放到buffer中bufferWithoutPaddings.put(byteArray);//重置 limit 和postion 值否则 buffer 读取数据不对bufferWithoutPaddings.flip();return bufferWithoutPaddings;}private static byte[] YUV_420_888toNV21(Image image) {int width =  image.getWidth();int height = image.getHeight();ByteBuffer yBuffer = getBufferWithoutPadding(image.getPlanes()[0].getBuffer(), image.getWidth(), image.getPlanes()[0].getRowStride(),image.getHeight(),false);ByteBuffer vBuffer;//part1 获得真正的消除padding的ybuffer和ubuffer。需要对P格式和SP格式做不同的处理。如果是P格式的话只能逐像素去做，性能会降低。if(image.getPlanes()[2].getPixelStride()==1){ //如果为true，说明是P格式。vBuffer = getuvBufferWithoutPaddingP(image.getPlanes()[1].getBuffer(), image.getPlanes()[2].getBuffer(),width,height,image.getPlanes()[1].getRowStride(),image.getPlanes()[1].getPixelStride());}else{vBuffer = getBufferWithoutPadding(image.getPlanes()[2].getBuffer(), image.getWidth(), image.getPlanes()[2].getRowStride(),image.getHeight()/2,true);}//part2 将y数据和uv的交替数据（除去最后一个v值）赋值给nv21int ySize = yBuffer.remaining();int vSize = vBuffer.remaining();byte[] nv21;int byteSize = width*height*3/2;nv21 = new byte[byteSize];yBuffer.get(nv21, 0, ySize);vBuffer.get(nv21, ySize, vSize);//part3 最后一个像素值的u值是缺失的，因此需要从u平面取一下。ByteBuffer uPlane = image.getPlanes()[1].getBuffer();byte lastValue = uPlane.get(uPlane.capacity() - 1);nv21[byteSize - 1] = lastValue;return nv21;}

java NV21toYUV420SemiPlanar 编码保存视频用：

        public byte[] NV21toYUV420SemiPlanar(byte[] nv21, int width, int height) {byte[] yuv420sp = new byte[width * height * 3 / 2];int frameSize = width * height;int i, j;System.arraycopy(nv21, 0, yuv420sp, 0, frameSize); // Y分量直接复制for (i = 0; i < frameSize / 4; i++) {j = i * 2;// NV21的UV分量交替排列，转为NV12需要调换U和V的位置yuv420sp[frameSize + j] = nv21[frameSize + j + 1]; // U分量yuv420sp[frameSize + j + 1] = nv21[frameSize + j]; // V分量}return yuv420sp;}

imageReader获取nv21

plane[0] + plane[2] =NV21;; plane[0] + plane[1] =NV12

Image image = reader.acquireLatestImage();
if (image == null) {return;
}Image.Plane[] planes = image.getPlanes();ByteBuffer yBuffer = image.getPlanes()[0].getBuffer();
int ySize = yBuffer.remaining();ByteBuffer vBuffer = image.getPlanes()[2].getBuffer();
int vSize = vBuffer.remaining();byte[] nv21_s = new byte[WIDTH*HEIGHT * 3 / 2];try {yBuffer.get(nv21_s, 0, yBuffer.remaining());vBuffer.get(nv21_s, ySize, vBuffer.remaining());imageQueue.put(nv21_s);
} catch (Exception e) {throw new RuntimeException(e);
}image.close();

注：

1.这种方式会缺最后一个像素的U分量或V分量，如果追求完美，对NV21，可以从plane[1]中取出最后的值追加到末尾；对NV12则是在plane[2]中取出最后的值追加到末尾；

2.只适用于图像宽度为8的整数倍的情况，否则因为需要做内存对齐，后面会补0，,导致image.getWidth()< plane.getRowStride()，这就需要对每一行舍去后面多余的0，然后再拼接，效率会低很多。

jni NV12toYUV420SemiPlanar函数：

    public  native byte[] NV12toYUV420SemiPlanar(byte[] data, int w, int h);

extern "C"JNIEXPORT jbyteArray JNICALL Java_com_sandstar_ai_objectdetector_ObjectDetector_NV12toYUV420SemiPlanar(JNIEnv* env, jobject, jbyteArray nv12, jint width, jint height) {jbyte* nv12_bytes = env->GetByteArrayElements(nv12, NULL);jsize nv21_length = env->GetArrayLength(nv12);int frameSize = width * height;std::vector<uint8_t> yuv420sp(nv21_length);std::memcpy(yuv420sp.data(), nv12_bytes, frameSize); // copy Yfor (int i = 0; i < frameSize / 4; ++i) {int j = i * 2;yuv420sp[frameSize + j] = nv12_bytes[frameSize + j + 1]; // copy Vyuv420sp[frameSize + j + 1] = nv12_bytes[frameSize + j]; // copy U}env->ReleaseByteArrayElements(nv12, nv12_bytes, 0);// Create a new byte array and put the data into itjbyteArray result = env->NewByteArray(nv21_length);env->SetByteArrayRegion(result, 0, nv21_length, reinterpret_cast<jbyte*>(yuv420sp.data()));return result;
}