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Android Bitmap,Image,Mat之间的相互转换

程序员文章站 2022-05-16 11:22:13
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             本文记录的主要是安卓java层获取到图片Image或者Bitmap,传到本地处理,

       然后再把本地的图片传回java层显示

一 . JAVA层的Image图片传到本地处理,然后再传回java层显示:

//Image转成YUV Byte[]

ImageReader reader 
Image image = reader.acquireLatestImage();
Image.Plane[] planes = image.getPlanes();

//注意:yBytes vBytes uBytes应该定义成全局变量。可减少GC频率

if (image.getWidth() != mConfig.getVideoWidth() ||
image.getHeight() != mConfig.getVideoHeight()) {
Log.d("Image", "WHY " + planes[0].getRowStride() + " != " + mConfig.getVideoHeight());
}

// Y-buffer
ByteBuffer yBuffer = planes[0].getBuffer();
int ySize = yBuffer.remaining();
byte[] yBytes = new byte[ySize];
yBuffer.get(yBytes);

// VU-buffer
ByteBuffer vBuffer = planes[2].getBuffer();
int vuSize = vBuffer.remaining();
byte[] vBytes = new byte[vuSize];
vBuffer.get(vBytes);

byte[] yuvBytes = null;
if (vuSize <= ySize / 4) {
ByteBuffer uBuffer = planes[1].getBuffer();
int uSize = uBuffer.remaining();
byte[] uBytes = new byte[uSize];
uBuffer.get(uBytes);
yuvBytes = ImageTool.byteMerger(yBytes, uBytes, vBytes);
} else {
yuvBytes = ImageTool.byteMerger(yBytes, vBytes);
}

获取到的byte[] yuvBytes作为参数传到c++层,同时创建一个零时Bitmap对象,传给c++层;

2. c++层获取到byte[]后,如下操作:

Java_XXX_updateHandJni(JNIEnv *env, jobject object, jbyteArray yuvdata, xxx)
jbyte *bBuffer = env->GetByteArrayElements(yuvdata, 0);
unsigned char *buf = (unsigned char *) bBuffer;
// unsigned char *转成Mat类型;
cv::cvtColor(cv::Mat(h * 3 / 2, w, CV_8UC1, buf), image, CV_YUV2RGB_NV21);
......//一系列处理

经过一系列处理后;

得到结果image;

3.  把image转成Bitmap,最后传给java层:

void MatToBitmap2

(JNIEnv *env, Mat& mat, jobject& bitmap, jboolean needPremultiplyAlpha) {

    AndroidBitmapInfo info;
    void *pixels = 0;
    Mat &src = mat;

try {

    LOGD("nMatToBitmap");
    CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);
    CV_Assert(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888 ||
    info.format == ANDROID_BITMAP_FORMAT_RGB_565);
    CV_Assert(src.dims == 2 && info.height == (uint32_t) src.rows &&
    info.width == (uint32_t) src.cols);
    CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC3 || src.type() == CV_8UC4);
    CV_Assert(AndroidBitmap_lockPixels(env, bitmap, &pixels) >= 0);
    CV_Assert(pixels);

    if (info.format == ANDROID_BITMAP_FORMAT_RGBA_8888) {
        Mat tmp(info.height, info.width, CV_8UC4, pixels);
    if (src.type() == CV_8UC1) {
        LOGD("nMatToBitmap: CV_8UC1 -> RGBA_8888");
        cvtColor(src, tmp, COLOR_GRAY2RGBA);
    } else if (src.type() == CV_8UC3) {
        LOGD("nMatToBitmap: CV_8UC3 -> RGBA_8888");
        cvtColor(src, tmp, COLOR_RGB2RGBA);
    } else if (src.type() == CV_8UC4) {
        LOGD("nMatToBitmap: CV_8UC4 -> RGBA_8888");
        if (needPremultiplyAlpha)
            cvtColor(src, tmp, COLOR_RGBA2mRGBA);
        else
            src.copyTo(tmp);
    }
    } else {
        // info.format == ANDROID_BITMAP_FORMAT_RGB_565
        Mat tmp(info.height, info.width, CV_8UC2, pixels);
        if (src.type() == CV_8UC1) {
            LOGD("nMatToBitmap: CV_8UC1 -> RGB_565");
            cvtColor(src, tmp, COLOR_GRAY2BGR565);
        } else if (src.type() == CV_8UC3) {
            LOGD("nMatToBitmap: CV_8UC3 -> RGB_565");
            cvtColor(src, tmp, COLOR_RGB2BGR565);
        } else if (src.type() == CV_8UC4) {
            LOGD("nMatToBitmap: CV_8UC4 -> RGB_565");
            cvtColor(src, tmp, COLOR_RGBA2BGR565);
        }
    }
    AndroidBitmap_unlockPixels(env, bitmap);
    return;
} catch (const cv::Exception &e) {
    AndroidBitmap_unlockPixels(env, bitmap);
    LOGE("nMatToBitmap catched cv::Exception: %s", e.what());
    jclass je = env->FindClass("org/opencv/core/CvException");
    if (!je) je = env->FindClass("java/lang/Exception");
    env->ThrowNew(je, e.what());
    return;
} catch (...) {

    AndroidBitmap_unlockPixels(env, bitmap);
    LOGE("nMatToBitmap catched unknown exception (...)");
    jclass je = env->FindClass("java/lang/Exception");
    env->ThrowNew(je, "Unknown exception in JNI code {nMatToBitmap}");
    return;
}
}

二. Bitmap传到c++层,再转Mat,然后经过处理返回Bitmap到应用层;

1. java层创建Bitmap对象,传给c++层;

Bitmap mBitmap = Bitmap.createBitmap(w,h, config);

2. c++层先把bitmap转Mat.然后再去一系列处理,处理完再使用matToBitmap传会java层;

void BitmapToMat2(JNIEnv *env, jobject& bitmap, Mat& mat, jboolean needUnPremultiplyAlpha) {

AndroidBitmapInfo info;
void *pixels = 0;
Mat &dst = mat;

try {

LOGD("nBitmapToMat");

CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);
CV_Assert(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888 ||
info.format == ANDROID_BITMAP_FORMAT_RGB_565);
CV_Assert(AndroidBitmap_lockPixels(env, bitmap, &pixels) >= 0);
CV_Assert(pixels);
dst.create(info.height, info.width, CV_8UC4);

if (info.format == ANDROID_BITMAP_FORMAT_RGBA_8888) {
    LOGD("nBitmapToMat: RGBA_8888 -> CV_8UC4");
    Mat tmp(info.height, info.width, CV_8UC4, pixels);

    if (needUnPremultiplyAlpha) 
        cvtColor(tmp, dst, COLOR_mRGBA2RGBA);
    else 
        tmp.copyTo(dst);
} else {

    // info.format == ANDROID_BITMAP_FORMAT_RGB_565

    LOGD("nBitmapToMat: RGB_565 -> CV_8UC4");

    Mat tmp(info.height, info.width, CV_8UC2, pixels);

    cvtColor(tmp, dst, COLOR_BGR5652RGBA);

}

AndroidBitmap_unlockPixels(env, bitmap);
return;

} catch (const cv::Exception &e) {

AndroidBitmap_unlockPixels(env, bitmap);
LOGE("nBitmapToMat catched cv::Exception: %s", e.what());
jclass je = env->FindClass("org/opencv/core/CvException");
if (!je) je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, e.what());
return;
} catch (...) {
AndroidBitmap_unlockPixels(env, bitmap);
LOGE("nBitmapToMat catched unknown exception (...)");
jclass je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, "Unknown exception in JNI code {nBitmapToMat}");
return;

}
}

参考连接:https://www.cnblogs.com/Jackie-zhang/p/10084947.html

                  https://blog.csdn.net/lei19880402/article/details/86002482

                  https://www.jianshu.com/p/08dcc910b088

 

 

 

 

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