OpenCV:从用户定义的关键点中提取SURF功能 [英] OpenCV: Extract SURF Features from user-defined keypoints
问题描述
我想从指定的关键点计算SURF功能.我正在使用OpenCV的Python包装器.以下是我尝试使用的代码，但是在任何地方都找不到有效的示例.
I want to compute SURF Features from keypoints that I specify. I am using the Python wrapper of OpenCV. The following is the code I am trying to use, but I cannot find a working example anywhere.
surf = cv2.SURF()
keypoints, descriptors = surf.detect(np.asarray(image[:,:]),None,useProvidedKeypoints = True)
如何指定此功能要使用的关键点?
How can I specify the keypoints to be used by this function?
类似的未回答的问题: 在useProvidedKeypoints = true时cvExtractSURF不起作用
Similar, unanswered, question: cvExtractSURF don't work when useProvidedKeypoints = true
推荐答案
如果我正确理解Python绑定的源代码，则Python绑定中永远不会使用C ++接口中存在的"keypoints"参数.因此，我警告您无法对当前绑定执行您要尝试的操作.一种可能的解决方案是编写您自己的绑定.我知道这不是您希望得到的答案...
If I understand the source code of the Python bindings correctly, the "keypoints" argument that is present in the C++ interface is never used in the Python bindings. So I hazard that it's not possible to do what you are trying to do with the current bindings. A possible solution would be to write your own binding. I know it's not the answer you were hoping...
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