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import cv2
class DENSE:
def __init__(self, step=6, radius=.5):
self.step = step
self.radius = radius
def detect(self, img):
# initialize our list of keypoints
kps = []
# loop over the height and with of the image, taking a `step`
# in each direction
for x in range(0, img.shape[1], self.step):
for y in range(0, img.shape[0], self.step):
# create a keypoint and add it to the keypoints list
kps.append(cv2.KeyPoint(x, y, self.radius))
# return the dense keypoints
return kps
def setInt(self, var, val):
if var == "initXyStep":
self.step = val
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