def build_all(self):
constellations = []
for filename in glob.glob('Constellations/*.jpg'):
# Read in Image
img = cv2.imread(filename, cv2.IMREAD_COLOR)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Threshold to binary
thresh = 100
img = cv2.threshold(img, thresh, 255, cv2.THRESH_BINARY)[1]
# Isolated unwanted text elements
text = cv2.threshold(gray, 170, 255, cv2.THRESH_BINARY)[1]
dilated = cv2.dilate(text, np.ones((11, 11)))
# Remove text elements leaving only stars in red and lines in blue
img[dilated > 250] = 0
# Find stars
shapedetector = ShapeDetector()
stars = shapedetector.get_stars(img)
x, y, mags = shapedetector.detect_stars(stars)
lines = shapedetector.detect_lines(img)
con = Constellation(x, y, mags, lines)
con.align_constellation()
constellations.append(con)
return sorted(constellations, key=attrgetter('number_of_stars'))
def build_ursa_major(self):
# Read in Image
img = cv2.imread('Constellations/UrsaMajor.jpg', cv2.IMREAD_COLOR)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Threshold to binary
thresh = 100
img = cv2.threshold(img, thresh, 255, cv2.THRESH_BINARY)[1]
#Isolated unwanted text elements
text = cv2.threshold(gray, 170, 255, cv2.THRESH_BINARY)[1]
dilated = cv2.dilate(text, np.ones((11, 11)))
#Remove text elements leaving only stars in red and lines in blue
img[dilated > 250] = 0
#Find stars
shapedetector = ShapeDetector()
stars = shapedetector.get_stars(img)
x, y, mags = shapedetector.detect_stars(stars)
lines = shapedetector.detect_lines(img)
con = Constellation(x, y, mags, lines)
con.align_constellation()
return Constellation(x, y, mags, lines)