问题描述
我正在尝试重写此处中描述的代码.使用 Opencv 的 python API.
I am trying to rewrite the code described here. using the python API for Opencv.
代码的第 3 步有这几行:
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 参考 中反复查看，但没有发现与 python 中的 FlannBasedMatcher 或其他对象相关的内容哪个可以完成这项工作.
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.
有什么想法吗?
注意:我使用 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python2文件夹下OpenCV 2.3.1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.
代码如下:
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]
这篇关于OpenCV python的API:FlannBasedMatcher的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持跟版网！