def __init__(self, fontPath, dictPath, scales, degrees, templatePath=""):
self.fontList = [
osj(fontPath, font) for font in IOUtils.GetFilesList(fontPath)
]
self.scales = scales
self.degrees = degrees
self.charDict = IOUtils.LoadDict(dictPath)
self.parms = self.GenParms()
self.hasTemplate = False
if len(templatePath) != 0:
self.hasTemplate = True
self.templates = IOUtils.LoadTemplate(templatePath)
def ComputeMeanStds(self):
meanStds = []
imagesList = IOUtils.GetFilesList(self.pathToTemplateImages)
logging.info("Done. Load all template images: "+str(len(imagesList)))
count = 0
for imageName in imagesList:
count += 1;
if count % 10 == 0:
logging.info("Processing. Compute mean & std: "+str(count))
img = cv2.imread(osj(self.pathToTemplateImages,imageName))
meanPre, stdPre, meanBack, stdBack = self.ComputeMeanStd(img)
if(np.abs(meanPre-meanBack)<30):
logging.warning("Processing. The values of background and foreground are close: %f", np.abs(meanPre-meanBack))
tempmeanStd = [meanPre, stdPre, meanBack, stdBack]
meanStds.append(tempmeanStd)
return meanStds
