本文介绍了如何正确使用Feature2D(例如SimpleBlobDetector)? (Python + OpenCV)的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试使用一些简单的代码来运行blob检测:
I'm trying to run blob detection using some simple code:
img = cv2.imread(args["image"])
height, width, channels = img.shape
params = cv2.SimpleBlobDetector_Params()
params.filterByColor = True
params.blobColor = 0
blob_detector = cv2.SimpleBlobDetector(params)
keypoints = blob_detector.detect(img)
但是我仍然出现以下错误:
However I keep getting the following error:
Traceback (most recent call last):
File "test2.py", line 37, in <module>
keypoints = blob_detector.detect(img)
TypeError: Incorrect type of self (must be 'Feature2D' or its derivative)
有人知道怎么了吗?
推荐答案
如果您的OpenCV版本是2.x
,请使用cv2.SimpleBlobDetector()
.否则,如果您的OpenCV版本是3.x (or 4.x)
,则使用cv2.SimpleBlobDetector_create
创建检测器.
If your OpenCV version is 2.x
, then use cv2.SimpleBlobDetector()
. Otherwise if your OpenCV version 3.x (or 4.x)
, then use cv2.SimpleBlobDetector_create
to create the detector.
## check opencv version and construct the detector
is_v2 = cv2.__version__.startswith("2.")
if is_v2:
detector = cv2.SimpleBlobDetector()
else:
detector = cv2.SimpleBlobDetector_create()
## detect
kpts = detector.detect(img)
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