def selectBlob(img):
gray = sf.image_gray(img)
# Set up the detector with default parameters.
detector = cv2.SimpleBlobDetector_create()
# Detect blobs.
# print dir(keypoints)
keypoints = detector.detect(gray)
if not keypoints:
x = 0
y = 0
else:
x = keypoints[0].pt[0]
y = keypoints[0].pt[1]
# Draw detected blobs as red circles.
# cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS ensures the size of the circle corresponds to the size of blob
im_with_keypoints = cv2.drawKeypoints(
img, keypoints, np.array([]), (0, 0, 255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS
)
# Show keypoints
# sf.display_image(im_with_keypoints)
return im_with_keypoints, x, y
def selectBlob_v2(image, params, detector):
gray = sf.image_gray(image)
# gray=sf.invert(gray)
keypoints = detector.detect(gray)
if not keypoints:
x = 0
y = 0
else:
x = keypoints[0].pt[0]
y = keypoints[0].pt[1]
im_with_keypoints = cv2.drawKeypoints(
image, keypoints, np.array([]), (0, 0, 255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS
)
return im_with_keypoints, x, y