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textline_contours: remove unnecessary resize_image, simplify

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Robert Sachunsky 2026-03-04 15:13:34 +01:00
parent 3370a3aa85
commit 8ebbe65c17
1 changed files with 8 additions and 22 deletions
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30
src/eynollah/eynollah.py
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@ -1241,30 +1241,21 @@ class Eynollah:
self.logger.debug("exit get_slopes_and_deskew_new_curved") self.logger.debug("exit get_slopes_and_deskew_new_curved")
return tuple(zip(*results)) return tuple(zip(*results))
def textline_contours(self, img, use_patches, scaler_h, scaler_w, num_col_classifier=None): def textline_contours(self, img, use_patches, num_col_classifier=None):
self.logger.debug('enter textline_contours') self.logger.debug('enter textline_contours')
#img = img.astype(np.uint8)
img_org = np.copy(img)
img_h = img_org.shape[0]
img_w = img_org.shape[1]
img = resize_image(img_org, int(img_org.shape[0] * scaler_h), int(img_org.shape[1] * scaler_w))
prediction_textline = self.do_prediction(use_patches, img, self.model_zoo.get("textline"), prediction_textline = self.do_prediction(use_patches, img, self.model_zoo.get("textline"),
marginal_of_patch_percent=0.15, marginal_of_patch_percent=0.15,
n_batch_inference=3, n_batch_inference=3,
threshold_art_class=self.threshold_art_class_textline) threshold_art_class=self.threshold_art_class_textline)
prediction_textline = resize_image(prediction_textline, img_h, img_w)
#prediction_textline_longshot = self.do_prediction(False, img, self.model_zoo.get("textline")) #prediction_textline_longshot = self.do_prediction(False, img, self.model_zoo.get("textline"))
#prediction_textline_longshot = resize_image(prediction_textline_longshot, img_h, img_w)
self.logger.debug('exit textline_contours') self.logger.debug('exit textline_contours')
return ((prediction_textline==1).astype(np.uint8), # suppress artificial boundary label
#(prediction_textline_longshot==1).astype(np.uint8), result = (prediction_textline == 1).astype(np.uint8)
None #, (prediction_textline_longshot==1).astype(np.uint8)
) return result
def get_regions_light_v(self,img,is_image_enhanced, num_col_classifier): def get_regions_light_v(self,img,is_image_enhanced, num_col_classifier):
self.logger.debug("enter get_regions_light_v") self.logger.debug("enter get_regions_light_v")
@ -1879,14 +1870,9 @@ class Eynollah:
return img_res, is_image_enhanced, num_col_classifier, num_column_is_classified return img_res, is_image_enhanced, num_col_classifier, num_column_is_classified
def run_textline(self, image_page, num_col_classifier=None): def run_textline(self, image_page, num_col_classifier=None):
scaler_h_textline = 1#1.3 # 1.2#1.2 textline_mask_tot_ea = self.textline_contours(image_page, True,
scaler_w_textline = 1#1.3 # 0.9#1 num_col_classifier)
#print(image_page.shape) #textline_mask_tot_ea = textline_mask_tot_ea.astype(np.int16)
textline_mask_tot_ea, _ = self.textline_contours(image_page, True,
scaler_h_textline,
scaler_w_textline,
num_col_classifier)
textline_mask_tot_ea = textline_mask_tot_ea.astype(np.int16)
if self.plotter: if self.plotter:
self.plotter.save_plot_of_textlines(textline_mask_tot_ea, image_page) self.plotter.save_plot_of_textlines(textline_mask_tot_ea, image_page)