qurator-spk/eynollah
1
0
Fork 0
mirror of https://github.com/qurator-spk/eynollah.git synced 2025-10-15 19:09:58 +02:00
Code Issues Projects Releases Wiki Activity

do_work_of_slopes: rm unused old variant

Browse source
This commit is contained in:
Robert Sachunsky 2025-10-07 22:33:06 +02:00
parent 2e907875c1
commit dfdc705375
1 changed files with 0 additions and 38 deletions
Download patch file Download diff file Expand all files Collapse all files

38
src/eynollah/eynollah.py
View file

@ -108,7 +108,6 @@ from .utils.utils_ocr import (
get_contours_and_bounding_boxes
)
from .utils.separate_lines import (
textline_contours_postprocessing,
separate_lines_new2,
return_deskew_slop,
do_work_of_slopes_new,
@ -2062,43 +2061,6 @@ class Eynollah:
(prediction_textline_longshot_true_size[:, :, 0]==1).astype(np.uint8))
def do_work_of_slopes(self, q, poly, box_sub, boxes_per_process, textline_mask_tot, contours_per_process):
self.logger.debug('enter do_work_of_slopes')
slope_biggest = 0
slopes_sub = []
boxes_sub_new = []
poly_sub = []
for mv in range(len(boxes_per_process)):
crop_img, _ = crop_image_inside_box(boxes_per_process[mv], textline_mask_tot)
crop_img = cv2.erode(crop_img, KERNEL, iterations=2)
try:
textline_con, hierarchy = return_contours_of_image(crop_img)
textline_con_fil = filter_contours_area_of_image(crop_img, textline_con, hierarchy,
max_area=1, min_area=0.0008)
y_diff_mean = find_contours_mean_y_diff(textline_con_fil)
sigma_des = max(1, int(y_diff_mean * (4.0 / 40.0)))
crop_img[crop_img > 0] = 1
slope_corresponding_textregion = return_deskew_slop(crop_img, sigma_des,
logger=self.logger, plotter=self.plotter)
except Exception as why:
self.logger.error(why)
slope_corresponding_textregion = MAX_SLOPE
if slope_corresponding_textregion == MAX_SLOPE:
slope_corresponding_textregion = slope_biggest
slopes_sub.append(slope_corresponding_textregion)
cnt_clean_rot = textline_contours_postprocessing(
crop_img, slope_corresponding_textregion, contours_per_process[mv], boxes_per_process[mv])
poly_sub.append(cnt_clean_rot)
boxes_sub_new.append(boxes_per_process[mv])
q.put(slopes_sub)
poly.put(poly_sub)
box_sub.put(boxes_sub_new)
self.logger.debug('exit do_work_of_slopes')
def get_regions_light_v_extract_only_images(self,img,is_image_enhanced, num_col_classifier):
self.logger.debug("enter get_regions_extract_images_only")
erosion_hurts = False