RPI上的OpenCV-System.loadLibrary中的分段错误 [英] OpenCV on rpi - segmentation fault in System.loadLibrary

问题描述

我正在尝试在树莓派上安装OpenCV，并且在多次尝试配置cmake之后，已经成功产生了opencv-400.jar和libopencv_java400.so.网络上的各种指南都没有说明下一步该怎么做.

I am trying to install OpenCV on a raspberry pi and, after many tries configuring cmake, have succeeded in producing opencv-400.jar and libopencv_java400.so The various guides on the web do not say what to do next.

我在类路径中有jar文件，测试代码可以正常编译，并且打印出System.getProperty("java.library.path")包含包含.so文件的目录.在另一个目录/usr/local/lib中，make进程放置了一堆.a文件.通过使库不共享所需部分而表示的cmake指令将全部放入java .so文件中.我不确定这是否有意义?我还必须将/usr/local指定为构建前缀-也许那应该是pi上的其他名称?

I have the jar in my class path, the test code compiles fine, and printing out System.getProperty("java.library.path") includes the directory containing the .so file. In a different directory, /usr/local/lib, the make process has put a stack of .a files. The cmake instructions said by making the libraries non shared the required parts would all be put in the java .so file. I am not sure this makes sense? I also had to specify /usr/local as the build prefix - perhaps that should be something else on a pi?

System.loadLibrary("opencv_java400")行产生了未经修饰的Segmentation错误.

The line System.loadLibrary("opencv_java400") produces an unadorned Segmentation fault.

...当然不应该.如果有人将rpi摄像机连接到opencv并从java访问它，也许您可​​以共享cmake参数.

... which it shouldn't of course. If anyone is connecting the rpi camera to opencv and accessing that from java, perhaps you could share the cmake parameters.

推荐答案

恢复到opencv 3.3.0之后，我不需要弄清楚cmake了，我让opencv用c ++在pi上工作.然后，我将所需的opencv命令包装在JNI中...，但仍然出现段错误.然后，我学会了使用gdb并非常迅速地将错误跟踪到libopenmpt.快速搜索说，这在内存不足时会导致分段错误.

After reverting to opencv 3.3.0 so I did not need to figure out cmake, I got opencv working on the pi with c++. I then wrapped my required opencv commands in JNI... and still got segmenation fault. I then learnt to use gdb and traced the error, very quickly, to libopenmpt. A quick search said this causes a segmentation fault when out of memory.

在这种情况下，解决方案是运行java -Xss128m ...来运行我的代码.

The solution in this case is to run java -Xss128m ... to run my code.

我猜这是从内置的Java组件中使用opencv 4的修复程序.

This, I am guessing, is a fix for using opencv 4 from the built java components.

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