一气呵成代码,但是,当发生执行_CrtIsValidHeapPointer例外,去搭调了一上午Bug.最终获得 跟踪定位到 _CrtIsValidHeapPointer ,注意到 g 8h"@dbgheap.c 文件里 _CrtIsValidHeapPointer 处凝视: /* * If this ASSERT fails, a bad pointer has been passed in. It may be * totally bo
发生coredump时的错误信息如下: terminate called after throwing an instance of 'cv::Exception' what(): OpenCV(4.1.0-dev) /home/admin/opencv/opencv-master/modules/core/src/matrix.cpp:169: error: (-215:Assertion failed) u->refcount == 0 in function 'deallocate' 以下
崩溃的信息如下: 1 OpenCV(4.1.0-dev) Error: Gpu API call (invalid configuration argument) in videoDecPostProcessFrame, file /home/admin/opencv/opencv_contrib-master/modules/cudacodec/src/cuda/nv12_to_rgb.cu, line 203 2 terminate called after throwing an inst
代码一气呵成,但运行的时候会出现_CrtIsValidHeapPointer的异常,跟进去调了一上午的Bug,终于搞定 跟踪定位到 _CrtIsValidHeapPointer ,注意到 g 8h"@dbgheap.c 文件中 _CrtIsValidHeapPointer 处注释: /* * If this ASSERT fails, a bad pointer has been passed in. It may be * totally
参考博客: OpenCv中cv::Mat和IplImage,CvMat之间的转换 Mat - 基本图像容器 Mat类型较CvMat和IplImage有更强的矩阵运算能力,支持常见的矩阵运算(参照Matlab中的各种矩阵运算),所以将IplImage类型和CvMat类型转换为Mat类型更易于数据处理. 关于 Mat ,首先要知道的是你不必再手动地(1)为其开辟空间(2)在不需要时立即将空间释放.但手动地做还是可以的:大多数OpenCV函数仍会手动地为输出数据开辟空间.当传递一个已经存在的 Mat