to3i
16 linhas
900 B
Python
16 linhas
900 B
Python
# evaluate line-tl alignment using gt-line annotations
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# only quality indicator because transliterations are unreliable
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# (transliterations often miss lines or contain invisible lines)
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def eval_line_tl_alignment(line_frag, lines_anno, seg_idx, num_vis_lines):
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tl_asst_eval = line_frag.line_hypos_agg[['gt_line_idx', 'tl_line']].dropna()
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tl_asst_eval = tl_asst_eval[tl_asst_eval.tl_line >= 0] # do not count unassigned lines
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print('LineHypos-TL assignment accuracy: {}'.format(
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(tl_asst_eval.gt_line_idx == tl_asst_eval.tl_line).mean()))
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# check if consistent gt and tl
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num_lines_tl = num_vis_lines # line_frag.tl_df.line_idx.nunique()
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num_lines_gt = lines_anno.select_df_by_segm_idx(seg_idx).gt_line_idx.nunique()
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if num_lines_tl != num_lines_gt:
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print('line annotation - transliteration mismatch: {} vs {} lines '.format(num_lines_gt, num_lines_tl))
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