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从Python调用C函数并将OpenCV Mat转换为Numpy数组

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Background situation

我试图通过Python绑定使用OpenCV Stitching模块,但是我收到一个错误:

import cv2
stitcher = cv2.createStitcher(False)

imageL = cv2.imread("imageL.jpg")
imageC = cv2.imread("imageC.jpg")
imageR = cv2.imread("imageR.jpg")

stitcher.stitch((imageL, imageC))

错误:/home/user/OpenCV3.1.0/opencv/modules/python/src2/cv2.cpp:163:错误:( - 215)数据通常应为NULL!在函数分配

类似的人遭受这种情况

The problem at hand

所以我决定使用官方的C OpenCV拼接示例并使用Python使用Boost.Python来调用它 . 但是,我仍然无法弄清楚如何正确使用Boost.Python numpy-opencv-converter来处理C Mat vs Numpy数组转换 .

¿How do I call the numpy-opencv-converter? 我只有Boost.Python,当运行我的python函数来调用C文件时,我得到了这个(预期的)结果:

$ python python_caller.py 
Traceback (most recent call last):
  File "python_caller.py", line 10, in <module>
    visualize(A)
Boost.Python.ArgumentError: Python argument types in
    testing.visualize(numpy.ndarray)
did not match C++ signature:
    visualize(cv::Mat)

谢谢 .

PD:我在Ubuntu 14.04,Python 2.7.4使用OpenCV 3.1.0从源代码编译并在virtualenv内部编译 .


这些是我正在使用的文件 .

testing.cpp:

#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <boost/python.hpp>

using namespace cv;

int main(){}

Mat visualize(const cv::Mat input_image)
{
    cv::Mat image;
    image = input_image;

    namedWindow("Display Image", WINDOW_AUTOSIZE );
    imshow("Display Image", image);
    waitKey(0);

    return image;
}

using namespace boost::python;
BOOST_PYTHON_MODULE(testing) // file name
{   
    def("visualize", visualize); //function name
}

python_caller.py:

import cv2
import numpy as np
from testing import visualize

A = cv2.imread("imageL.jpg")

visualize(A)

Makefile:

CFLAGS=`pkg-config --cflags opencv`

LDFLAGS=`pkg-config --libs opencv`

testing.so: testing.o
    g++ -shared -Wl,--export-dynamic -o testing.so testing.o -L/usr/lib -lboost_python -L/usr/lib/python2.7/config -lpython2.7 -L/usr/lib/x86_64-linux-gnu/ -lopencv_calib3d -lopencv_contrib -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_gpu -lopencv_highgui -lopencv_imgproc -lopencv_legacy -lopencv_ml -lopencv_objdetect -lopencv_ocl -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_ts -lopencv_video -lopencv_videostab 

testing.o: testing.cpp
    g++ -I/usr/include/python2.7 -I/usr/include -fPIC -c testing.cpp

1 回答

  • 7

    你需要转换Python NDArray <=> C cv :: Mat . 我可以推荐这个GitHub Repo . 它包含一个适合您需求的示例 . 我在Ubuntu 15.10上使用Python 2.7 / 3.4和OpenCV 3.1的转换器 .

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