27 lines
874 B
Python
27 lines
874 B
Python
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import cv2
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import numpy as np
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from .helpers import corners_to_keypoints
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class HARRIS:
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def __init__(self, blockSize=2, apertureSize=3, k=0.1, T=0.02):
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self.blockSize = blockSize
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self.apertureSize = apertureSize
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self.k = k
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self.T = T
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def detect(self, img):
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# convert our input image to a floating point data type and then
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# compute the Harris corner matrix
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gray = np.float32(img)
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H = cv2.cornerHarris(gray, self.blockSize, self.apertureSize, self.k)
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# for every (x, y)-coordinate where the Harris value is above the
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# threshold, create a keypoint (the Harris detector returns
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# keypoint size a 3-pixel radius)
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kps = np.argwhere(H > self.T * H.max())
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kps = [cv2.KeyPoint(pt[1], pt[0], 3) for pt in kps]
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# return the Harris keypoints
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return kps
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