C/C++ opencv Mat .copy

最新推荐文章于 2023-12-01 13:19:56 发布
转载 最新推荐文章于 2023-12-01 13:19:56 发布 · 767 阅读 · 1 ·
CC 4.0 BY-SA版权
原文链接：https://blog.youkuaiyun.com/qq_32095699/article/details/81007162
文章标签：

#c++ #python

https://blog.youkuaiyun.com/qq_32095699/article/details/81007162

深拷贝：操作系统为B开辟了新的内存空间，所以A改变不会导致B改变

Mat A,B;
A = imread("1.jpg");
B = A.clone();

浅拷贝：B只拷贝了A的地址，所以A改变的话会导致B改变。

Mat A,B;
A = imread("1.jpg");
B = A;
C++智能指针，实现Mat类的复制控制
Andreassss的博客
10-24 1849
定义智能指针的通用技术是采用一个使用计数器。智能指针类将一个计数器与类指向的对象相关联。使用计数跟踪该类有多少个对象共享同一指针。当计数器为0时删除对象。使用计数有时也称为引用计数//利用一个引用计数器控制复制和赋值构造函数，当引用计数器为零时，可以数据
从Opencv的Mat结构学习深拷贝与浅拷贝（C++）
qq_23172985的博客
04-10 1611
从Opencv的Mat结构学习深拷贝与浅拷贝（C++），Scalar(0, 255, 255)，mat.data，Mat结构，内存地址，构造函数。src.data和srcmcopy.data存储的是图像数据所在内存空间的起始地址，也可以说是指向该内存空间的指针。因为在OpenCV中，Mat对象本身并不存储图像数据，而是存储一个指向图像数据所在内存空间的指针，这个指针就是data成员变量。
Mat深拷贝与浅拷贝
苦逼的程序猿
04-25 1270
clone()会将矩阵的所有信息（包括头部和数据部分）都拷贝到目标矩阵中，也就是说并不会共享数据。 coyTo()会将矩阵的数据部分拷贝到目的矩阵，且在拷贝之前会调用creat()函数。 Mat clone() const; void copyTo( OutputArray m ) const; void copyTo( OutputArray m, InputArray mask) con...
关于Mat的拷贝
wogennipingle的博客
06-01 819
OpenCV中Mat如果这样拷贝MatB(A);//UsethecopyconstructorC=A;//Assignmentoperator只是copy了矩阵的matrix header和那个指针，而不是矩阵的本身，也就意味着两个矩阵的数据指针指向的是同一个地址，需要开发者格外注意。如果要建立两个完全不相关的Mat需要使用函数clone()或者copyTo()。ht...
opencv Mat之间赋值(复制)
热门推荐
yueguanyun的专栏
03-03 1万+
opencv Mat之间赋值 浅拷贝 //注意：浅拷贝 - 不复制数据只创建矩阵头，数据共享（更改a,b,c的任意一个都会对另外2个产生同样的作用） Mat a; Mat b = a; //a "copy" to b Mat c(a); //a "copy" to c 深拷贝 //注意：深拷贝 Mat a; Mat b = a.clone(); //a copy to
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最新发布
10-23
找到 `Mat.java` 和 `UMat.java`（路径通常为 `opencv/modules/core/misc/java/src/java/org/opencv/core/`）。 2. **修改 `Mat.java`** ```java // 添加 AutoCloseable 接口 public class Mat implements ...
/opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:64:11: error: '::clock' has not been declared using ::clock; ^~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:65:11: error: '::difftime' has not been declared using ::difftime; ^~~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:66:11: error: '::mktime' has not been declared using ::mktime; ^~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:67:11: error: '::time' has not been declared using ::time; ^~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:68:11: error: '::asctime' has not been declared using ::asctime; ^~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:69:11: error: '::ctime' has not been declared using ::ctime; ^~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:70:11: error: '::gmtime' has not been declared using ::gmtime; ^~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:71:11: error: '::localtime' has not been declared using ::localtime; ^~~~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:72:11: error: '::strftime' has not been declared using ::strftime; ^~~~~~~~ In file included from /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/chrono:41:0, from /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/mutex:39, from /home/cwq/SourceLibrary/opencv/opencv_cross_compile/opencv/modules/core/include/opencv2/core/utility.hpp:62, from /home/cwq/SourceLibrary/opencv/opencv_cross_compile/opencv/modules/core/src/precomp.hpp:49, from /home/cwq/SourceLibrary/opencv/opencv_cross_compile/opencv/modules/core/src/arithm.dispatch.cpp:5: /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:64:11: error: '::clock' has not been declared using ::clock; ^~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:65:11: error: '::difftime' has not been declared using ::difftime; ^~~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:66:11: error: '::mktime' has not been declared using ::mktime; ^~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:67:11: error: '::time' has not been declared using ::time; ^~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:68:11: error: '::asctime' has not been declared using ::asctime; ^~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:69:11: error: '::ctime' has not been declared using ::ctime; ^~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:70:11: error: '::gmtime' has not been declared using ::gmtime; ^~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:71:11: error: '::localtime' has not been declared using ::localtime; ^~~~~~~~~ /opt/linux/x86-arm/aarch64-mix210-linux/aarch64-linux-gnu/include/c++/7.3.0/ctime:72:11: error: '::strftime' has not been declared using ::strftime; ^~~~~~~~ modules/core/CMakeFiles/opencv_core.dir/build.make:281: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/buffer_area.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/buffer_area.cpp.o] Error 1 make[2]: *** Waiting for unfinished jobs.... modules/core/CMakeFiles/opencv_core.dir/build.make:545: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/cuda_host_mem.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/cuda_host_mem.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:521: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/cuda_gpu_mat.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/cuda_gpu_mat.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:425: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/convert_c.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/convert_c.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:89: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/algorithm.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/algorithm.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:233: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/batch_distance.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/batch_distance.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:305: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/channels.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/channels.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:401: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/convert.dispatch.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/convert.dispatch.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:497: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/count_non_zero.dispatch.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/count_non_zero.dispatch.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:113: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/alloc.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/alloc.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:257: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/bindings_utils.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/bindings_utils.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:185: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/array.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/array.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:377: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/conjugate_gradient.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/conjugate_gradient.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:473: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/copy.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/copy.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:329: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/check.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/check.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:449: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/convert_scale.dispatch.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/convert_scale.dispatch.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:137: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/arithm.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/arithm.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:353: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/command_line_parser.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/command_line_parser.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:209: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/async.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/async.cpp.o] Error 1 modules/core/CMakeFiles/opencv_core.dir/build.make:161: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/arithm.dispatch.cpp.o' failed make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/src/arithm.dispatch.cpp.o] Error 1 CMakeFiles/Makefile2:2622: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/all' failed make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2 Makefile:162: recipe for target 'all' failed make: *** [all] Error 2
07-16
在交叉编译OpenCV时，如果遇到与C++标准库头文件`ctime`中时间相关函数（如`::clock`、`::difftime`、`::mktime`等）未声明相关的错误，通常是由于目标平台的C/C++标准库实现不完整或缺少对某些时间函数的支持所导致...
C++openCV Mat类常用函数、深拷贝、指针、at
花语月的喵喵
06-04 3350
Mat类常用函数create()reshape()resize()setTo()operator ()Mat类的复制copyTo() 与 clone()拷贝与赋值构造Mat指针(ptr)与at create() 为Mat对象开辟一段的新的存储空间 reshape() 可在不修改Mat对象数据的前提下，改变对象的大小 resize() 重新调整Mat对象的行与列，按指定方式插值填充 setTo() 为Mat对象赋指定值。 operator () 将原Mat的对象的指定区域拷贝给新对象...
udo make -j8 Scanning dependencies of target opencv_highgui_plugins Scanning dependencies of target ittnotify Scanning dependencies of target quirc Scanning dependencies of target libprotobuf Scanning dependencies of target ade Scanning dependencies of target opencv_videoio_plugins Scanning dependencies of target gen_opencv_python_source [ 0%] Built target opencv_videoio_plugins [ 0%] Building C object 3rdparty/ittnotify/CMakeFiles/ittnotify.dir/src/ittnotify/ittnotify_static.c.o [ 0%] Built target opencv_highgui_plugins [ 0%] Building C object 3rdparty/quirc/CMakeFiles/quirc.dir/src/decode.c.o [ 0%] Building C object 3rdparty/quirc/CMakeFiles/quirc.dir/src/quirc.c.o [ 0%] Generate files for Python bindings and documentation [ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/alloc.cpp.o [ 0%] Building C object 3rdparty/quirc/CMakeFiles/quirc.dir/src/version_db.c.o [ 0%] Building C object 3rdparty/ittnotify/CMakeFiles/ittnotify.dir/src/ittnotify/jitprofiling.c.o [ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/assert.cpp.o [ 0%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/any_lite.cc.o [ 0%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/arena.cc.o [ 0%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/arenastring.cc.o [ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/check_cycles.cpp.o [ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/edge.cpp.o [ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/execution_engine.cpp.o [ 0%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/extension_set.cc.o Note: Class Feature2D has more than 1 base class (not supported by Python C extensions) Bases: cv::Algorithm, cv::class, cv::Feature2D, cv::Algorithm Only the first base class will be used [ 0%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/generated_message_util.cc.o [ 1%] Linking C static library ../lib/libittnotify.a [ 1%] Built target ittnotify [ 1%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/graph.cpp.o [ 1%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/implicit_weak_message.cc.o Note: Class detail_GraphCutSeamFinder has more than 1 base class (not supported by Python C extensions) Bases: cv::detail::GraphCutSeamFinderBase, cv::detail::SeamFinder Only the first base class will be used [ 1%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/memory_accessor.cpp.o [ 2%] Linking C static library ../lib/libquirc.a [ 2%] Built target quirc [ 2%] Processing OpenCL kernels (core) Scanning dependencies of target opencv_core [ 2%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/coded_stream.cc.o [ 2%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/memory_descriptor.cpp.o [ 2%] Built target gen_opencv_python_source [ 2%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/io_win32.cc.o [ 2%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/strtod.cc.o [ 2%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/memory_descriptor_ref.cpp.o [ 2%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/algorithm.cpp.o [ 2%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/memory_descriptor_view.cpp.o [ 2%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/metadata.cpp.o [ 2%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/zero_copy_stream.cc.o [ 2%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/alloc.cpp.o [ 2%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/metatypes.cpp.o In file included from /home/z/下载/opencv-4.5.5/modules/core/include/opencv2/core/utility.hpp:56, from /home/z/下载/opencv-4.5.5/modules/core/src/precomp.hpp:53, from /home/z/下载/opencv-4.5.5/modules/core/src/algorithm.cpp:43: /home/z/下载/opencv-4.5.5/modules/core/include/opencv2/core.hpp: In function ‘cv::String& cv::operator<<(cv::String&, const cv::Mat&)’: /home/z/下载/opencv-4.5.5/modules/core/include/opencv2/core.hpp:3102:47: internal compiler error: 段错误 3102 | return out << Formatter::get()->format(mtx); | ^ [ 2%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/zero_copy_stream_impl.cc.o [ 3%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/node.cpp.o 0x7f2e0e35c08f ??? /build/glibc-FcRMwW/glibc-2.31/signal/../sysdeps/unix/sysv/linux/x86_64/sigaction.c:0 0x7f2e0e33d082 __libc_start_main ../csu/libc-start.c:308 Please submit a full bug report, with preprocessed source if appropriate. Please include the complete backtrace with any bug report. See <file:///usr/share/doc/gcc-9/README.Bugs> for instructions. make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/build.make:90：modules/core/CMakeFiles/opencv_core.dir/src/algorithm.cpp.o] 错误 1 make[2]: *** 正在等待未完成的任务.... [ 3%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/passes/communications.cpp.o [ 3%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/search.cpp.o [ 4%] Building CXX object 3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o In file included from /usr/include/c++/9/istream:991, from /usr/include/c++/9/iostream:40, from /home/z/下载/opencv-4.5.5/3rdparty/protobuf/src/google/protobuf/io/zero_copy_stream_impl.cc:44: /usr/include/c++/9/bits/istream.tcc: In member function ‘std::basic_istream<_CharT, _Traits>& std::basic_istream<_CharT, _Traits>::get(std::basic_istream<_CharT, _Traits>::char_type*, std::streamsize, std::basic_istream<_CharT, _Traits>::char_type)’: /usr/include/c++/9/bits/istream.tcc:326:66: internal compiler error: 段错误 326 | const int_type __idelim = traits_type::to_int_type(__delim); | ^ 0x7f0aca24708f ??? /build/glibc-FcRMwW/glibc-2.31/signal/../sysdeps/unix/sysv/linux/x86_64/sigaction.c:0 0x7f0aca228082 __libc_start_main ../csu/libc-start.c:308 Please submit a full bug report, with preprocessed source if appropriate. Please include the complete backtrace with any bug report. See <file:///usr/share/doc/gcc-9/README.Bugs> for instructions. make[2]: *** [3rdparty/protobuf/CMakeFiles/libprotobuf.dir/build.make:193：3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/zero_copy_stream_impl.cc.o] 错误 1 make[2]: *** 正在等待未完成的任务.... [ 4%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/subgraphs.cpp.o [ 4%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/topological_sort.cpp.o during IPA pass: cp /home/z/下载/opencv-4.5.5/3rdparty/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::ArrayInputStream::BackUp(int)’: /home/z/下载/opencv-4.5.5/3rdparty/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:467:1: internal compiler error: 段错误 467 | } // namespace google | ^ 0x7fe12677e08f ??? /build/glibc-FcRMwW/glibc-2.31/signal/../sysdeps/unix/sysv/linux/x86_64/sigaction.c:0 0x7fe12675f082 __libc_start_main ../csu/libc-start.c:308 Please submit a full bug report, with preprocessed source if appropriate. Please include the complete backtrace with any bug report. See <file:///usr/share/doc/gcc-9/README.Bugs> for instructions. make[2]: *** [3rdparty/protobuf/CMakeFiles/libprotobuf.dir/build.make:206：3rdparty/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o] 错误 1 make[1]: *** [CMakeFiles/Makefile2:1625：3rdparty/protobuf/CMakeFiles/libprotobuf.dir/all] 错误 2 make[1]: *** 正在等待未完成的任务.... In file included from /usr/include/c++/9/functional:54, from /home/z/下载/opencv-4.5.5/build/3rdparty/ade/ade-0.1.1f/sources/ade/include/ade/metatypes/metatypes.hpp:12, from /home/z/下载/opencv-4.5.5/build/3rdparty/ade/ade-0.1.1f/sources/ade/include/ade/passes/communications.hpp:14, from /home/z/下载/opencv-4.5.5/build/3rdparty/ade/ade-0.1.1f/sources/ade/source/passes/communications.cpp:7: /usr/include/c++/9/tuple: In instantiation of ‘constexpr _Head& std::__get_helper(std::_Tuple_impl<_Idx, _Head, _Tail ...>&) [with long unsigned int __i = 0; _Head = ade::MemoryDescriptorView* const&; _Tail = {}]’: /usr/include/c++/9/tuple:1321:36: required from ‘constexpr std::__tuple_element_t<__i, std::tuple<_Elements ...> >& std::get(std::tuple<_Elements ...>&) [with long unsigned int __i = 0; _Elements = {ade::MemoryDescriptorView* const&}; std::__tuple_element_t<__i, std::tuple<_Elements ...> > = ade::MemoryDescriptorView* const&]’ /usr/include/c++/9/tuple:1673:55: required from ‘std::pair<_T1, _T2>::pair(std::tuple<_Args1 ...>&, std::tuple<_Args2 ...>&, std::_Index_tuple<_Indexes1 ...>, std::_Index_tuple<_Indexes2 ...>) [with _Args1 = {ade::MemoryDescriptorView* const&}; long unsigned int ..._Indexes1 = {0}; _Args2 = {}; long unsigned int ..._Indexes2 = {}; _T1 = ade::MemoryDescriptorView* const; _T2 = {anonymous}::CacheEntry]’ /usr/include/c++/9/tuple:1663:63: required from ‘std::pair<_T1, _T2>::pair(std::piecewise_construct_t, std::tuple<_Args1 ...>, std::tuple<_Args2 ...>) [with _Args1 = {ade::MemoryDescriptorView* const&}; _Args2 = {}; _T1 = ade::MemoryDescriptorView* const; _T2 = {anonymous}::CacheEntry]’ /usr/include/c++/9/ext/new_allocator.h:146:4: required from ‘void __gnu_cxx::new_allocator<_Tp>::construct(_Up*, _Args&& ...) [with _Up = std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>; _Args = {const std::piecewise_construct_t&, std::tuple<ade::MemoryDescriptorView* const&>, std::tuple<>}; _Tp = std::__detail::_Hash_node<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>, false>]’ /usr/include/c++/9/bits/alloc_traits.h:483:4: required from ‘static void std::allocator_traits<std::allocator<_CharT> >::construct(std::allocator_traits<std::allocator<_CharT> >::allocator_type&, _Up*, _Args&& ...) [with _Up = std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>; _Args = {const std::piecewise_construct_t&, std::tuple<ade::MemoryDescriptorView* const&>, std::tuple<>}; _Tp = std::__detail::_Hash_node<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>, false>; std::allocator_traits<std::allocator<_CharT> >::allocator_type = std::allocator<std::__detail::_Hash_node<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>, false> >]’ /usr/include/c++/9/bits/hashtable_policy.h:2086:36: required from ‘std::__detail::_Hashtable_alloc<_NodeAlloc>::__node_type* std::__detail::_Hashtable_alloc<_NodeAlloc>::_M_allocate_node(_Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<ade::MemoryDescriptorView* const&>, std::tuple<>}; _NodeAlloc = std::allocator<std::__detail::_Hash_node<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>, false> >; std::__detail::_Hashtable_alloc<_NodeAlloc>::__node_type = std::__detail::_Hash_node<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>, false>]’ /usr/include/c++/9/bits/hashtable_policy.h:701:8: required from ‘std::__detail::_Map_base<_Key, _Pair, _Alloc, std::__detail::_Select1st, _Equal, _H1, _H2, _Hash, _RehashPolicy, _Traits, true>::mapped_type& std::__detail::_Map_base<_Key, _Pair, _Alloc, std::__detail::_Select1st, _Equal, _H1, _H2, _Hash, _RehashPolicy, _Traits, true>::operator[](const key_type&) [with _Key = ade::MemoryDescriptorView*; _Pair = std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry>; _Alloc = std::allocator<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry> >; _Equal = std::equal_to<ade::MemoryDescriptorView*>; _H1 = std::hash<ade::MemoryDescriptorView*>; _H2 = std::__detail::_Mod_range_hashing; _Hash = std::__detail::_Default_ranged_hash; _RehashPolicy = std::__detail::_Prime_rehash_policy; _Traits = std::__detail::_Hashtable_traits<false, false, true>; std::__detail::_Map_base<_Key, _Pair, _Alloc, std::__detail::_Select1st, _Equal, _H1, _H2, _Hash, _RehashPolicy, _Traits, true>::mapped_type = {anonymous}::CacheEntry; std::__detail::_Map_base<_Key, _Pair, _Alloc, std::__detail::_Select1st, _Equal, _H1, _H2, _Hash, _RehashPolicy, _Traits, true>::key_type = ade::MemoryDescriptorView*]’ /usr/include/c++/9/bits/unordered_map.h:986:20: required from ‘std::unordered_map<_Key, _Tp, _Hash, _Pred, _Alloc>::mapped_type& std::unordered_map<_Key, _Tp, _Hash, _Pred, _Alloc>::operator[](const key_type&) [with _Key = ade::MemoryDescriptorView*; _Tp = {anonymous}::CacheEntry; _Hash = std::hash<ade::MemoryDescriptorView*>; _Pred = std::equal_to<ade::MemoryDescriptorView*>; _Alloc = std::allocator<std::pair<ade::MemoryDescriptorView* const, {anonymous}::CacheEntry> >; std::unordered_map<_Key, _Tp, _Hash, _Pred, _Alloc>::mapped_type = {anonymous}::CacheEntry; std::unordered_map<_Key, _Tp, _Hash, _Pred, _Alloc>::key_type = ade::MemoryDescriptorView*]’ /home/z/下载/opencv-4.5.5/build/3rdparty/ade/ade-0.1.1f/sources/ade/source/passes/communications.cpp:91:22: required from here /usr/include/c++/9/tuple:1310:56: in ‘constexpr’ expansion of ‘std::_Tuple_impl<0, ade::MemoryDescriptorView* const&>::_M_head(__t)’ /usr/include/c++/9/tuple:1310:60: internal compiler error: 段错误 1310 | { return _Tuple_impl<__i, _Head, _Tail...>::_M_head(__t); } | ^ 0x7f7630e1a08f ??? /build/glibc-FcRMwW/glibc-2.31/signal/../sysdeps/unix/sysv/linux/x86_64/sigaction.c:0 0x7f7630dfb082 __libc_start_main ../csu/libc-start.c:308 Please submit a full bug report, with preprocessed source if appropriate. Please include the complete backtrace with any bug report. See <file:///usr/share/doc/gcc-9/README.Bugs> for instructions. make[2]: *** [CMakeFiles/ade.dir/build.make:232：CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/passes/communications.cpp.o] 错误 1 make[2]: *** 正在等待未完成的任务.... make[1]: *** [CMakeFiles/Makefile2:1801：modules/core/CMakeFiles/opencv_core.dir/all] 错误 2 make[1]: *** [CMakeFiles/Makefile2:1465：CMakeFiles/ade.dir/all] 错误 2 make: *** [Makefile:163：all] 错误 2
06-03
首先，根据引用中的信息，用户之前可能尝试过安装不同版本的OpenCV，尤其是涉及到C++11的ABI问题，比如添加-D_GLIBCXX_USE_CXX11_ABI=0参数，但没有成功。现在的问题是在编译过程中出现的段错误，这可能与编译器版本...
学习Opencv（蝴蝶书/C++）——4.图形和大型数组类型（上）
啷个哩个啷
12-01 683
其实按照条例梳理一下，看起来有构造函数一共29个，实际上分类是很清晰的。除和，剩下27个的分类如下之所以会有这么多类型的构造函数，是因为其是C++和C数据类型混用的表达式，即便当前有的数据是一个指向C结构的指针，只要与C++定义的结构一致，那么函数也可以正确处理这个C结构的变量。
Mat之间的复制（深拷贝浅拷贝）
weixin_42403113的博客
04-02 1042
参考： https://blog.csdn.net/u013806541/article/details/70154719 https://blog.csdn.net/holybin/article/details/17711013 https://blog.csdn.net/mengchicmc/article/details/69568469 1.“=” 浅拷贝 浅拷贝 - 不复制数据只创建矩...
Mat数据的深浅拷贝
qq_27353621的博客
06-07 2156
Mat数据的深拷贝和浅拷贝
Mat 拷贝总结
hust平凡之路 的博客
07-05 1915
一、"=" 操作     浅拷贝Mat imageA = imread("..\\..\\bin\\2.bmp",0); Mat imageB = imageA; imageA.setTo(0); imageA.release();1、"="操作，相当于imageA 和 imageB指向了同一块内存。2、imageA.setTo(0)之后，imageB的图像内容也跟着改变了。3、当imageA.r...
Mat之间的复制
ipanda_zll的博客
01-06 1075
OpenCV里的Mat矩阵复制分为“浅拷贝”、“深拷贝”两种， “浅拷贝”：共享同一块内存空间，改变其中一个Mat 矩阵的值，另一个也会改变； “深拷贝”：不共享同一块内存空间，两个矩阵的数据相同，但是互不影响。 A为原矩阵，B为被赋值矩阵，则 “B=A;” 为浅拷贝， “A.copyTo(B);"为深拷贝，但若A与B的尺寸不同，则会重新为B分配空间，否则B仍用原先的空间， " B=A.clone...
OpenCV4（C++） —— Mat类
qq_43199575的博客
09-26 4088
在python的opencv中，也就是导入：import cv2。使用的是numpy和内置ndarray来存储和处理图像数据。而对于C++的opencv是没有ndarray的，也没有numpy库，而是使用cv::Mat类来表示图像数据与进行处理的。python是一种动态类型语言，无需显示的指定变量的类型。直接使用imread返回的就是ndarray对象，后续使用numpy库可以直接对其进行相关图像操作。import cv2C++是一种静态类型语言，任何变量都需要显示地指定一个数据类型。
OpenCV Mat 拷贝与ROI
01-15 6461
 (1)浅拷贝 //注意：浅拷贝 -  不复制数据只创建矩阵头，数据共享（更改a,b,c的任意一个都会对另外2个产生同样的作用）  Mat a;  Mat b = a; //a "copy" to b  Mat c(a); //a "copy" to c   //注意：浅拷贝 - 不复制数据只创建矩阵头，数据共享（更改a,b,c的任意一个都会对另外2个产生同样的作用）
OpenCV之Mat结构的使用（C++实现）
xddwz的博客
11-30 665
OpenCV使用Mat类作为主要数据结构之后，使得OpenCV变的越来越方便，甚至很多函数名称都想matlab一样简单。 关于Mat类，首先我们需要知道的是： 不必再手动为其开辟空间； 不必再在不需要时立即将空间释放。 这里指的是手动开辟空间并非必须，但它依旧是存在的，大数的OpenCV函数仍会手动的为输出数据开辟空间。当传递一个已经存在的Mat对象时，开辟好的矩阵空间会被重用，也就是说，我们每次都使用大小正好的内存来完成任务。 总之，Mat是一个类，由两个数据部分组成：矩阵头（包含矩阵尺寸、存储方
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