def analyze(painting, settings): """Given a picture, of class painting, commence the analysis""" original = painting.getImage() method = settings.method if method == "naive": return naiveMethod.analyzeImage(original, settings) if method == "expanded": return expandedMethod.analyzeImage(original,settings) else: raise StandardError("No method named %s" % method)
def main(): """ Just the test This method is a god resource on how to handle the results """ filename = sys.argv[1] image = highgui.cvLoadImage (filename) print "DO NOT EXPECT THE RUNNING TIME OF THIS TEST TO BE REPRESENTATIVE!" print "" print "THRESHOLDS AND EVERYTHING ELSE ARE HARDCODED!" cutRatios = [0.6667, lib.PHI, 0.6] settings = Settings(cutRatios) # Run the analysis with the above settings comps = naiveMethod.analyzeImage(image, settings) # This is just for drawing the results # The below methods can probably be combined but don't bother # {{{ # Get and draw the cuts cuts = {} for ratio in settings.cutRatios: cuts[str(ratio)] = lib.findMeans(cv.cvGetSize(image), ratio) for ratio in cuts: lib.drawLines(image, None, cuts[ratio], lib.getRandomColor()) # Get and draw the components for ratio in comps: for cut in comps[ratio]: lib.drawBoundingBoxes(image, comps[ratio][cut]) # }}} winname = "Failure" highgui.cvNamedWindow (winname, highgui.CV_WINDOW_AUTOSIZE) while True: highgui.cvShowImage (winname, image) c = highgui.cvWaitKey(0) if c == 'q': print "Exiting ..." print "" sys.exit(0)