python中kps = np.float32([kp.pt for kp in kps])
时间: 2024-05-25 10:17:09 浏览: 131
这行代码的功能是将一个由OpenCV库中的SIFT特征检测器检测到的关键点列表kps转换为一个numpy数组kps,其中每个元素是一个二元组,表示该关键点在图像中的位置。具体地,代码中使用了列表推导式和numpy.float32方法,从kps列表中提取每个关键点的位置(即kp.pt),并将其转换为浮点型数据类型,最终得到一个numpy数组kps。
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kps = np.float32([kp.pt for kp in kps])
This line of code is converting a list of keypoint objects (kps) into a NumPy array of floating-point values (kps). It extracts the coordinates of each keypoint using the "pt" attribute, which contains the (x, y) coordinates of the keypoint. The resulting NumPy array will have a shape of (N, 2), where N is the number of keypoints and 2 represents the (x, y) coordinates.
[kp.pt for kp in kps]
This is a list comprehension in Python that creates a new list containing the .pt domains of all the items in the original list 'kps'.
For example, if kps = ['google.com', 'yahoo.pt', 'bing.pt'], then [kp.pt for kp in kps] would return ['google.pt', 'yahoo.pt', 'bing.pt'].
It works by iterating through each item in the 'kps' list, assigning it to the variable 'kp', and then taking the string after the last '.' character (assuming it is the top-level domain) and adding the '.pt' suffix to it.