def _puck_detection(image, approx_radius, tolerance=0.1):
min_radius = approx_radius * (1-tolerance)
max_radius = approx_radius * (1+tolerance)
detector = CircleDetector()
detector.set_minimum_separation(100000)
detector.set_minimum_radius(min_radius)
detector.set_maximum_radius(max_radius)
circles = detector.find_circles(image)
return circles
def _hole_detection(image, avg_barcode_radius):
# For Unipuck, empty hole radius is about 1.1-1.3 x barcode radius
MIN_FACTOR = 1.00
MAX_FACTOR = 1.50
# For Unipuck, separation between closest neighbours is about 3.7-3.9 x barcode radius
SEPARATION_FACTOR = 3.6
min_radius = MIN_FACTOR * avg_barcode_radius
max_radius = MAX_FACTOR * avg_barcode_radius
min_dist = SEPARATION_FACTOR * avg_barcode_radius
detector = CircleDetector()
detector.set_minimum_radius(min_radius)
detector.set_maximum_radius(max_radius)
detector.set_minimum_separation(min_dist)
circles = detector.find_circles(image)
return circles
