def ISample(self):
title = self.title
target_word = 'Trainingkeyword'
segmentation_threshold = self.segmentation_threshold
kernel_dilate_reg = self.kernel_dilate_reg
scale = self.scale
img, window_position = Image_Capture(title).ICapture()
thresh_seg, thresh_ocr = Image_Process(
img, segmentation_threshold).IProcess()
group_coordinates = Image_Analyze(thresh_seg, kernel_dilate_reg,
scale).IBoundary(thresh_ocr)
Image = Image_OCR(thresh_ocr, window_position, group_coordinates,
target_word)
if os.path.isdir('Sample\\' + title):
shutil.rmtree('Sample\\' + title)
os.makedirs('Sample\\' + title)
for i in range(len(group_coordinates)):
for j in range(len(group_coordinates[i])):
Image.IOCR(group_coordinates[i][j],
training_flag=True,
save_path=title)
