;//区域插值,图像放大时类似于线性插值,图像缩小时可以避免波纹出现。31DEBUG_TIME(T3);32cv::resize(image, image2X_INTER_CUBIC, cv::Size(), scale, scale, cv::INTER_CUBIC);//三次样条插值33DEBUG_TIME(T4);3435DEBUG_PRINT("INTER_NEAREST:%3.3fms", RUN_TIME(T1 -T0));36DEBUG_PRINT("INTER_...
由于Resizer Model的目标是学习baseline视觉任务的最优调整器,因此作者没有对Resizer Mode用任何其他损失或正则化约束。 3.2.1 Image Classification 分类模型采用交叉熵损失进行训练。ImageNet由1000个类组成,因此,模型的输出代表1000个预测类概率。作者在训练过程中采用了label-smoothing方法,损失函数如下所示: 其中p和q...
31DEBUG_TIME(T3);32cv::resize(image, image2X_INTER_CUBIC, cv::Size(), scale, scale, cv::INTER_CUBIC);//三次样条插值33DEBUG_TIME(T4);3435DEBUG_PRINT("INTER_NEAREST:%3.3fms", RUN_TIME(T1 -T0));36DEBUG_PRINT("INTER_LINEAR :%3.3fms", RUN_TIME(T2 -T1));37DEBUG_PRINT("INTER_...
C: void cvResize(const CvArr* src, CvArr* dst, int interpolation=CV_INTER_LINEAR ) Python: cv.Resize(src, dst, interpolation=CV_INTER_LINEAR) → None Parameters: src – Source image. dst – Destination image. It has the size dsize (when it is non-zero) or the size computed from ...
cv::Mat dest;for(inti =0; i < num; ++i) { cv::resize(image, dest, cv::Size(width, height),0,0, interpolation);//最近邻插值}returndest; }intmain(){ string path ="../1.jpg"; cv::Mat image = cv::imread(path); cv::resize(image, image, cv::Size(1000,1000));intre_widt...
#include <opencv2/opencv.hpp>usingnamespacestd;usingnamespacecv;intmain() { Mat frame, clone_frame; frame= imread("D:/cat.jpg",3); clone_frame=frame.clone(); cout<<"front of the scale image.rows:"<< clone_frame.rows <<""<<"image.cols:"<< clone_frame.cols <<endl;doublescale ...
OpenCV Resize Image - We learn the syntax of cv2.resize() and how to use this function to resize a given image. We can use cv2.resize() function to upscale, downscale, or resize to a desired size (considering or not considering the aspect ratio).
fx 水平缩放比例,当输入为0时,fx=(double)dsize.width/src.cols fy 垂直缩放比例,当输入为0时,fy=(double)dsize.height/src.rows interpolation 内插方式 内插方式有 CV_INTER_NEAREST 最邻近插值点法 CV_INTER_LINEAR 双线性插值法 CV_INTER_AREA 邻域像素再取样插补 CV_INTER_CUBIC 双立方插补,4*4大小...
INTER_AREA– resampling using pixel area relation. It may be a preferred method for image decimation, as it gives moire’-free results. But when the image is zoomed, it is similar to the INTER_NEAREST method. INTER_CUBIC– 4×4像素邻域内的双立方插值 ...