OpenCV Python 绑定中的特征检测
我梳理了网络，寻找一种方法来获取 OpenCV 2.3.1a 特征提取/描述符绑定，以吐出任何风格的图像特征/描述符（STAR/SURF/ORB/SIFT/FAST）。我很清楚 OpenCV 有一个名为“goodFeaturesToTrack”的方法。这对我没有帮助，因为没有特征描述符（这是我真正需要的）。我已遵循此处列出的文档：
http://opencv.itseez.com/modules/features2d/doc/feature_detection_and_description.html
我已经尝试了所有类型的描述符/功能。尝试使用单通道和多通道图像（即彩色和黑白）和多种图像格式（8位和32f）我已经使用了当前的发行版并从源存储库构建了绑定。导致出现“unknown is not a numpy array”错误。这是一个示例：
SimpleCV:1>import cv2
SimpleCV:2>img = Image("aerospace.jpg")
SimpleCV:3>bwimg = img._getGrayscaleBitmap()
SimpleCV:4>bwimg
SimpleCV:4><iplimage(nChannels=1 width=600 height=400 widthStep=600 )>
SimpleCV:5>surfer = cv2.SURF(0.5,4,2,False,False)
SimpleCV:6>points = surfer.detect(bwimg,None)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/Library/Python/2.6/site-packages/SimpleCV-1.2-py2.6.egg/SimpleCV/Shell/Shell.pyc in <module>()
-
TypeError: <unknown> is not a numpy array
SimpleCV:7>
值得注意的是，我使用 SimpleCV 加载图像，但方法 _getGrayscaleBitmap() 返回 OpenCV 使用的灰色 8 位 IPL 图像。确保这有效，因为我将它与数百种其他 OpenCV 方法一起使用而没有发生任何情况。
那么任何人都可以向我指出该代码在网络上的有效示例吗？我梳理了几十个例子，但没有发现任何有效的例子。
I've combed the web looking for a way to get the OpenCV 2.3.1a feature extraction/descriptor bindings to spit out any flavor of image features/descriptors(STAR/SURF/ORB/SIFT/FAST). I am well aware that OpenCV has a method called "goodFeaturesToTrack. This doesn't help me as there are no feature descriptors (which is what I really need). I have followed the documentation as listed here:
http://opencv.itseez.com/modules/features2d/doc/feature_detection_and_description.html
Nothing seems to work. I've tried all of the flavors of descriptors/features. I've tried using single and multiple channel images (i.e. color and black and white) and multiple image formats (8bit and 32f). I have worked with the current distribution and building the bindings from the source repo. Most of the methods result in a "unknown is not a numpy array" error. Here is an example:
SimpleCV:1>import cv2
SimpleCV:2>img = Image("aerospace.jpg")
SimpleCV:3>bwimg = img._getGrayscaleBitmap()
SimpleCV:4>bwimg
SimpleCV:4><iplimage(nChannels=1 width=600 height=400 widthStep=600 )>
SimpleCV:5>surfer = cv2.SURF(0.5,4,2,False,False)
SimpleCV:6>points = surfer.detect(bwimg,None)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/Library/Python/2.6/site-packages/SimpleCV-1.2-py2.6.egg/SimpleCV/Shell/Shell.pyc in <module>()
-
TypeError: <unknown> is not a numpy array
SimpleCV:7>
It is worth noting that I am using SimpleCV to load the image, but the method _getGrayscaleBitmap() returns the gray 8bit IPL image used by OpenCV. I am sure this works as I use it with hundred of other OpenCV methods without incidence.
So can anyone point me to a WORKING example of this code on the web. I have combed through dozens of examples and found nothing that works.
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凯特，这对我有用：
我可以绘制关键点和所有内容。要获取描述符，您可以尝试这个
d 在关键点列表中应该具有相同的长度。
我在 OpenCV 章节中有这个例子：
http://www.maths.lth.se/matematiklth/personal/solem/book.html< /a>
Kat, this works for me:
I can plot the key points and all. To get the descriptors you can try this
d should have the same length at the list of key points.
I have this example in the OpenCV chapter here:
http://www.maths.lth.se/matematiklth/personal/solem/book.html
看起来你有一个 PIL 图像。尝试转换为 numpy 图像：
npImage = np.array(img)
Looks like you have a PIL image. Try converting to a numpy image:
npImage = np.array(img)