OpenCV的python的API：FlannBasedMatcher [英] OpenCV python's API: FlannBasedMatcher

问题描述

我想重写此处中描述的代码。使用python API for Opencv。

I am trying to rewrite the code described here. using the python API for Opencv.

代码的第3步具有以下行：

The step 3 of the code has this lines:

 FlannBasedMatcher matcher;
 std::vector< DMatch > matches;
 matcher.match( descriptors_object, descriptors_scene, matches );

我在 OpenCV引用，但发现没有什么相关的FlannBasedMatcher在python或一些其他对象可以做的工作。

I have looked over and over in the OpenCV reference but found nothing related to a FlannBasedMatcher in python or some other object which can do the work.

任何想法？

注意：我是Usign OpenCV 2.3.1和Python 2.6

NOTE: I am usign OpenCV 2.3.1 and Python 2.6

推荐答案

查看OpenCV 2.3.1在python2文件夹下提供的示例，我发现了一个基于flann的匹配函数的实现，它不依赖于FlanBasedMatcher对象。

Looking in the examples provided by OpenCV 2.3.1 under the python2 folder, I found an implementation of a flann based match function which doesn't rely on the FlanBasedMatcher object.

以下是代码：

FLANN_INDEX_KDTREE = 1  # bug: flann enums are missing

flann_params = dict(algorithm = FLANN_INDEX_KDTREE,
                    trees = 4)

def match_flann(desc1, desc2, r_threshold = 0.6):
    flann = cv2.flann_Index(desc2, flann_params)
    idx2, dist = flann.knnSearch(desc1, 2, params = {}) # bug: need to provide empty dict
    mask = dist[:,0] / dist[:,1] < r_threshold
    idx1 = np.arange(len(desc1))
    pairs = np.int32( zip(idx1, idx2[:,0]) )
    return pairs[mask]

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