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log number of detected regions
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1 changed files with 10 additions and 0 deletions
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@ -388,6 +388,7 @@ class Eynollah:
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img = self.imread()
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img_bin = None
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t1 = time.time()
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_, page_coord = self.early_page_for_num_of_column_classification(img_bin)
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model_num_classifier, session_col_classifier = self.start_new_session_and_model(self.model_dir_of_col_classifier)
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@ -413,6 +414,7 @@ class Eynollah:
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label_p_pred = model_num_classifier.predict(img_in, verbose=0)
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num_col = np.argmax(label_p_pred[0]) + 1
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self.logger.info("Found %d columns (%s)", num_col, np.around(label_p_pred, decimals=5))
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self.logger.info("detecting columns took %.1fs", time.time() - t1)
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if dpi < DPI_THRESHOLD:
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img_new, num_column_is_classified = self.calculate_width_height_by_columns(img, num_col, width_early, label_p_pred)
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@ -2356,6 +2358,14 @@ class Eynollah:
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# self.logger.debug('len(contours_only_text_parent) %s', len(contours_only_text_parent_d))
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else:
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pass
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self.logger.info("Found %d text regions", len(contours_only_text_parent))
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self.logger.info("Found %d margin regions", len(polygons_of_marginals))
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self.logger.info("Found %d image regions", len(polygons_of_images))
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self.logger.info("Found %d separator lines", len(polygons_lines_xml))
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if self.tables:
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self.logger.info("Found %d tables", len(contours_tables))
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txt_con_org = get_textregion_contours_in_org_image(contours_only_text_parent, self.image, slope_first)
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boxes_text, _ = get_text_region_boxes_by_given_contours(contours_only_text_parent)
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boxes_marginals, _ = get_text_region_boxes_by_given_contours(polygons_of_marginals)
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