def get_frames(self): sheet = pg.image.load("p1_walk.png").convert() sheet.set_colorkey(c.SPRITESHEET_BACKGROUND) return tools.get_images(sheet, self.rect.size)
t0 = time.time() # count execution-time for whole programm localtime = time.asctime( time.localtime(time.time()) ) print "Local current time :", localtime logging.info('Current Log-Level: %s' % logging.getLevelName(logging.getLogger('myLogger').root.getEffectiveLevel())) if parameter.train == 1: #start train ############################################## print 'TRAINING STARTED' # foldername containing the training images trainfolder = "train" # make list with all images in the folder image_filenames = tools.get_images(trainfolder) # detect faces and features in images trained_data = train.get_face_data(image_filenames) if parameter.pickle_data == 1: # safe (pickle) data persistence.safe_data(trained_data) print time.time() - t0, "seconds" # print execution-time for Training print 'TRAINING FINISHED' #optional evaluation ############################################### # show training-images and paint keypoints into the pictures