图像拼接搅拌机图像格式

我在C++中使用OpenCV 3.1 W/CONTIB。尝试重新创建“使用opencv pg 152-161进行学习图像处理”中概述的程序。我一行一行地复制了代码,但是得到了这个结果。

//-Create a blender-//S10
    Ptr<Blender> blender = Blender::createDefault(blend_type,false);
    Size dst_sz = resultRoi(corners, sizes).size();
    float blend_width = sqrt(static_cast<float>(dst_sz.area()))* blend_strength / 100.f;
    if(blend_width < 1.f){
        blender = Blender::createDefault(Blender::NO,false);
    }
    else if(blend_type == Blender::MULTI_BAND){
        MultiBandBlender* mb = dynamic_cast<MultiBandBlender*>(blender.get());
        mb->setNumBands(static_cast<int>(ceil(log(blend_width)/log(2.))-1.));
        cout << "Multi-band blender, number of bands: " << mb->numBands() << endl;
    }
    else if(blend_type == Blender::FEATHER){
        FeatherBlender* fb = dynamic_cast<FeatherBlender*>(blender.get());
        fb->setSharpness(1.f/blend_width);
        cout << "Feather blender, sharpness: " << fb->sharpness() << endl;
    }
    blender->prepare(corners,sizes);
    //-Compositing step-//S11
    cout << "Composting..." << endl;
    t = getTickCount();
    Mat img_warped, img_warped_s;
    Mat dilated_mask, seam_mask, mask, mask_warped;
    for(int img_idx = 0; img_idx < num_images; img_idx++){
        cout << "Compositing image #" << indices[img_idx]+1 << endl;

        //-Read image and resize it if necessary-//S11.1
        full_img = imread(img_names[img_idx]);
        if(abs(scale - 1)> 1e-1){
            resize(full_img, img, Size(),scale,scale);
        }
        else{
            img = full_img;
        }
        full_img.release();
        Size img_size = img.size();

        Mat K;
        cameras[img_idx].K().convertTo(K, CV_32F);

        //-Warp the current image-//S11.2
        warper->warp(img,K,cameras[img_idx].R,INTER_LINEAR,BORDER_REFLECT,img_warped);
        //Warp the current image mask
        mask.create(img_size, CV_8U);
        mask.setTo(Scalar::all(255));
        warper->warp(mask,K,cameras[img_idx].R,INTER_NEAREST,BORDER_CONSTANT,mask_warped);

        //-Compenstae exposure error step-//S11.3
        compensator->apply(img_idx,corners[img_idx],img_warped,mask_warped);
        img_warped.convertTo(img_warped, CV_16S);
        img_warped.release();
        img.release();
        mask.release();

        dilate(masks_warped[img_idx], dilated_mask, Mat());
        resize(dilated_mask, seam_mask, mask_warped.size());
        mask_warped = seam_mask & mask_warped;

        //-Blending images step-//S11.4
        blender->feed(img_warped_s,mask_warped,corners[img_idx]);
    }

问题就在最后一行说:

错误:(-215)img.type()==cv sc3_img.type()==cv uc3 in 函数馈送

作为img、mask和tl中的blender::feed函数任务,我假设问题出在img上。 img_warped 变量并尝试将其转换为cv sc3和cv uc3类型,但没有成功。感谢您的帮助。