Android jni cpp文件中的Mat to Bitmap

Question

我正在用android进行原生开发.我不能在java中使用OpenCV.我将Bitmap作为jni的输入.我找到了一种转换Bitmap-> Mat的方法.然后我可以处理()Mat图像类型.现在我需要重新转换处理后的Mat-> Bitmap并将其发送到java文件.

我无法找到关于如何在jni c ++中完成Mat-> Bitmap转换的任何帖子.

如果我能就此得到任何建议,那将是非常有帮助的

Answer 1

我有同样的问题,这个代码是解决方案:

jobject mat_to_bitmap(JNIEnv * env, Mat & src, bool needPremultiplyAlpha, jobject bitmap_config){

    jclass java_bitmap_class = (jclass)env->FindClass("android/graphics/Bitmap");
    jmethodID mid = env->GetStaticMethodID(java_bitmap_class,
                                       "createBitmap", "(IILandroid/graphics/Bitmap$Config;)Landroid/graphics/Bitmap;");

    jobject bitmap = env->CallStaticObjectMethod(java_bitmap_class,
                                             mid, src.size().width, src.size().height, bitmap_config);
    AndroidBitmapInfo  info;
    void* pixels = 0;

    try {
        //validate
        CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);
        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);

        //type mat
        if(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888){
            Mat tmp(info.height, info.width, CV_8UC4, pixels);
            if(src.type() == CV_8UC1){
                cvtColor(src, tmp, CV_GRAY2RGBA);
            } else if(src.type() == CV_8UC3){
                cvtColor(src, tmp, CV_RGB2RGBA);
            } else if(src.type() == CV_8UC4){
                if(needPremultiplyAlpha){
                    cvtColor(src, tmp, COLOR_RGBA2mRGBA);
                }else{
                    src.copyTo(tmp);
                }
            }

        } else{
            Mat tmp(info.height, info.width, CV_8UC2, pixels);
            if(src.type() == CV_8UC1){
                cvtColor(src, tmp, CV_GRAY2BGR565);
            } else if(src.type() == CV_8UC3){
                cvtColor(src, tmp, CV_RGB2BGR565);
            } else if(src.type() == CV_8UC4){
                cvtColor(src, tmp, CV_RGBA2BGR565);
            }
        }
        AndroidBitmap_unlockPixels(env, bitmap);
        return bitmap;
    } catch(cv::Exception e){
        AndroidBitmap_unlockPixels(env, bitmap);
        jclass je = env->FindClass("org/opencv/core/CvException");
        if(!je) je = env->FindClass("java/lang/Exception");
        env->ThrowNew(je, e.what());
        return bitmap;
    } catch (...){
        AndroidBitmap_unlockPixels(env, bitmap);
        jclass je = env->FindClass("java/lang/Exception");
        env->ThrowNew(je, "Unknown exception in JNI code {nMatToBitmap}");
        return bitmap;
    }
}

你可以这样打电话:

JNIEXPORT jobject JNICALL Java_com_duongtd_project_MyNDK_myfunction
    (JNIEnv *env, jclass ob, jobject bitmap){

    Mat src = 
    ....


    //get source bitmap's config
    jclass java_bitmap_class = (jclass)env->FindClass("android/graphics/Bitmap");
    jmethodID mid = env->GetMethodID(java_bitmap_class, "getConfig", "()Landroid/graphics/Bitmap$Config;");
    jobject bitmap_config = env->CallObjectMethod(bitmap, mid);
    jobject _bitmap = mat_to_bitmap(env, src, false, bitmap_config);

    AndroidBitmap_unlockPixels(env, bitmap);

    //and finally you can get bitmap for android
    return _bitmap;
}

别忘了申报:

#include <android/bitmap.h>

我知道你有一个将android Bitmap转换为C++ Mat的解决方案,但是我在这里发布了以上代码的任何问题:

JNIEXPORT jobject JNICALL Java_com_duongtd_project_MyNDK_myfunction
    (JNIEnv *env, jclass ob, jobject bitmap){
    int ret;
    AndroidBitmapInfo info;
    void* pixels = 0;

    if ((ret = AndroidBitmap_getInfo(env, bitmap, &info)) < 0) {
        __android_log_print(ANDROID_LOG_VERBOSE, APPNAME,"AndroidBitmap_getInfo() failed ! error=%d", ret);
        return NULL;
    }

    if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888 ) {
        __android_log_print(ANDROID_LOG_VERBOSE, APPNAME,"Bitmap format is not RGBA_8888!");
        return NULL;
    }

    if ((ret = AndroidBitmap_lockPixels(env, bitmap, &pixels)) < 0) {
        __android_log_print(ANDROID_LOG_VERBOSE, APPNAME,"AndroidBitmap_lockPixels() failed ! error=%d", ret);
    }

    // init our output image
    Mat mbgra(info.height, info.width, CV_8UC4, pixels);

    ...
}