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contours: numpy now needs dtype=object

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Robert Sachunsky 2023-02-11 12:05:49 +00:00
parent 2d9ccac354
commit a56988a35a
2 changed files with 6 additions and 6 deletions
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10
qurator/eynollah/eynollah.py
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@ -2367,7 +2367,7 @@ class Eynollah:
areas_cnt_text_parent = [area for area in areas_cnt_text if area > min_con_area] areas_cnt_text_parent = [area for area in areas_cnt_text if area > min_con_area]
index_con_parents = np.argsort(areas_cnt_text_parent) index_con_parents = np.argsort(areas_cnt_text_parent)
contours_only_text_parent = list(np.array(contours_only_text_parent)[index_con_parents]) contours_only_text_parent = list(np.array(contours_only_text_parent, dtype=object)[index_con_parents])
areas_cnt_text_parent = list(np.array(areas_cnt_text_parent)[index_con_parents]) areas_cnt_text_parent = list(np.array(areas_cnt_text_parent)[index_con_parents])
cx_bigest_big, cy_biggest_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest]) cx_bigest_big, cy_biggest_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest])
@ -2382,7 +2382,7 @@ class Eynollah:
if len(areas_cnt_text_d)>0: if len(areas_cnt_text_d)>0:
contours_biggest_d = contours_only_text_parent_d[np.argmax(areas_cnt_text_d)] contours_biggest_d = contours_only_text_parent_d[np.argmax(areas_cnt_text_d)]
index_con_parents_d = np.argsort(areas_cnt_text_d) index_con_parents_d = np.argsort(areas_cnt_text_d)
contours_only_text_parent_d = list(np.array(contours_only_text_parent_d)[index_con_parents_d]) contours_only_text_parent_d = list(np.array(contours_only_text_parent_d, dtype=object)[index_con_parents_d])
areas_cnt_text_d = list(np.array(areas_cnt_text_d)[index_con_parents_d]) areas_cnt_text_d = list(np.array(areas_cnt_text_d)[index_con_parents_d])
cx_bigest_d_big, cy_biggest_d_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest_d]) cx_bigest_d_big, cy_biggest_d_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest_d])
@ -2446,7 +2446,7 @@ class Eynollah:
areas_cnt_text_parent = [area for area in areas_cnt_text if area > min_con_area] areas_cnt_text_parent = [area for area in areas_cnt_text if area > min_con_area]
index_con_parents = np.argsort(areas_cnt_text_parent) index_con_parents = np.argsort(areas_cnt_text_parent)
contours_only_text_parent = list(np.array(contours_only_text_parent)[index_con_parents]) contours_only_text_parent = list(np.array(contours_only_text_parent, dtype=object)[index_con_parents])
areas_cnt_text_parent = list(np.array(areas_cnt_text_parent)[index_con_parents]) areas_cnt_text_parent = list(np.array(areas_cnt_text_parent)[index_con_parents])
cx_bigest_big, cy_biggest_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest]) cx_bigest_big, cy_biggest_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest])
@ -2473,7 +2473,7 @@ class Eynollah:
K.clear_session() K.clear_session()
if self.full_layout: if self.full_layout:
if np.abs(slope_deskew) >= SLOPE_THRESHOLD: if np.abs(slope_deskew) >= SLOPE_THRESHOLD:
contours_only_text_parent_d_ordered = list(np.array(contours_only_text_parent_d_ordered)[index_by_text_par_con]) contours_only_text_parent_d_ordered = list(np.array(contours_only_text_parent_d_ordered, dtype=object)[index_by_text_par_con])
text_regions_p, contours_only_text_parent, contours_only_text_parent_h, all_box_coord, all_box_coord_h, all_found_texline_polygons, all_found_texline_polygons_h, slopes, slopes_h, contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered = check_any_text_region_in_model_one_is_main_or_header(text_regions_p, regions_fully, contours_only_text_parent, all_box_coord, all_found_texline_polygons, slopes, contours_only_text_parent_d_ordered) text_regions_p, contours_only_text_parent, contours_only_text_parent_h, all_box_coord, all_box_coord_h, all_found_texline_polygons, all_found_texline_polygons_h, slopes, slopes_h, contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered = check_any_text_region_in_model_one_is_main_or_header(text_regions_p, regions_fully, contours_only_text_parent, all_box_coord, all_found_texline_polygons, slopes, contours_only_text_parent_d_ordered)
else: else:
contours_only_text_parent_d_ordered = None contours_only_text_parent_d_ordered = None
@ -2566,7 +2566,7 @@ class Eynollah:
if np.abs(slope_deskew) < SLOPE_THRESHOLD: if np.abs(slope_deskew) < SLOPE_THRESHOLD:
order_text_new, id_of_texts_tot = self.do_order_of_regions(contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot) order_text_new, id_of_texts_tot = self.do_order_of_regions(contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot)
else: else:
contours_only_text_parent_d_ordered = list(np.array(contours_only_text_parent_d_ordered)[index_by_text_par_con]) contours_only_text_parent_d_ordered = list(np.array(contours_only_text_parent_d_ordered, dtype=object)[index_by_text_par_con])
order_text_new, id_of_texts_tot = self.do_order_of_regions(contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d) order_text_new, id_of_texts_tot = self.do_order_of_regions(contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d)
pcgts = self.writer.build_pagexml_no_full_layout(txt_con_org, page_coord, order_text_new, id_of_texts_tot, all_found_texline_polygons, all_box_coord, polygons_of_images, polygons_of_marginals, all_found_texline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables) pcgts = self.writer.build_pagexml_no_full_layout(txt_con_org, page_coord, order_text_new, id_of_texts_tot, all_found_texline_polygons, all_box_coord, polygons_of_images, polygons_of_marginals, all_found_texline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables)
self.logger.info("Job done in %.1fs", time.time() - t0) self.logger.info("Job done in %.1fs", time.time() - t0)

2
qurator/eynollah/utils/contour.py
View file

@ -19,7 +19,7 @@ def contours_in_same_horizon(cy_main_hor):
list_h.append(i) list_h.append(i)
if len(list_h) > 1: if len(list_h) > 1:
all_args.append(list(set(list_h))) all_args.append(list(set(list_h)))
return np.unique(all_args) return np.unique(np.array(all_args, dtype=object))
def find_contours_mean_y_diff(contours_main): def find_contours_mean_y_diff(contours_main):
M_main = [cv2.moments(contours_main[j]) for j in range(len(contours_main))] M_main = [cv2.moments(contours_main[j]) for j in range(len(contours_main))]