OpenCV -在蟒蛇中有做弓(单词包)的功能吗？

Question

我必须使用OpenCV 2.4.6来做蝴蝶结(单词袋)，我所有的代码都是c++。现在我想用蟒蛇来做。

我已经搜索了(http://opencv.willowgarage.com/documentation/python/)。但我没有得到答案。然后从http://answers.opencv.org/question/10870/python-wrapper-for-bow/，我知道也许没有OpenCV-python用于鞠躬。有人能找到吗？

因为我已经用C++训练了词汇，现在当我得到一张照片时，我想得到与词汇表相比较的弓形矢量。C++使用BOWImgDescriptorExtractor()函数来完成它。是否存在像BOWImgDescriptorExtractor()这样的python代码？

Answer 1

我已经编写了这样一个示例代码，(1)首先，我们使用python来训练c++词汇表并将其保存到文件中。(2)编写c++代码，得到图像的弓形矢量化表示。

vector<double> features;//store the feature
bool readVocabulary(const string& filename, Mat& vocabulary) {
    FileStorage fs(filename, FileStorage::READ);
    if (fs.isOpened()) {
        fs["vocabulary"] >> vocabulary;
        return true;
    }
    return false;
}
//imgpath is the image filepath, vocpath is the voc path
void getImgBow(char* imgpath, char* vocpath) {
    cv::initModule_nonfree();
    Ptr<FeatureDetector> featureDetector = FeatureDetector::create("SURF");
    Ptr<DescriptorExtractor> descExtractor =
            DescriptorExtractor::create("SURF");
    Ptr<DescriptorMatcher> descMatcher =
            DescriptorMatcher::create("FlannBased");
    Ptr<BOWImgDescriptorExtractor> bowExtractor;
    if (featureDetector.empty() || descExtractor.empty() || descMatcher.empty()) {
        cout << "featureDetector or descExtractor was not created" << endl;
    }
    bowExtractor = new BOWImgDescriptorExtractor(descExtractor, descMatcher);
    Mat vocabulary;
    readVocabulary(vocpath, vocabulary);
    bowExtractor->setVocabulary(vocabulary);
    Mat img = imread(imgpath);
    if (img.rows < img.cols)
        cv::resize(img, img, Size(320, 240));
    else
        cv::resize(img, img, Size(240, 320));
    vector<KeyPoint> keypoints;
    Mat descriptors;
    featureDetector->detect(img, keypoints);
    bowExtractor->compute(img, keypoints, descriptors);
    for (int j = 0; j < descriptors.cols; j++) {
        float value = descriptors.at<float> (0, j);
        features.push_back(value);
    }
}

(3)我们将c++代码编码为python模块：

PyObject* wrap_contentfilter(PyObject* self, PyObject* args) {
//parse the python parameters.
if (!PyArg_ParseTuple(args, "sssOO", &imgpath, &vocpath, &modelpath,
            &candidate_list, &can_pro_lsit))
//you may use PyInt_AsSsize_t and so on to do type change.
//invoke getImgBow function.
//construct PyObject and return to python, use PyList_SetItem function,PyObject*
}

static PyMethodDef predictMethods[] = { { "content_filter", wrap_contentfilter,
        METH_VARARGS, "get image's bow, predict" }, { NULL, NULL } };
extern "C" 
void initcontentfilter() {
    PyObject* m;
    m = Py_InitModule("contentfilter", predictMethods);
} 

(4)我们编写了一个python示例来调用c++函数。

import contentfilter
 contentfilter.content_filter(parameters)

(5)编写c++函数：

g++ -fPIC  content_filter.cpp -o contentfilter.so  -shared -I/usr/local/include -I/usr/include/python2.7 -I/usr/lib/python2.7/config -L/usr/local/lib  -lopencv_highgui -lopencv_nonfree -lopencv_legacy -lopencv_ml -lopencv_features2d -lopencv_imgproc -lopencv_core

(6) python example.py