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Eynollah_ocr: correctly handle min_conf, improve writer…
- `min_conf_value_of_textline_text`: apply by skipping lines below threshold (instead of writing empty text), and delete their TextEquiv (if existing) - `write_ocr()`: simplify, and ensure consistency between line and region level text correctly
This commit is contained in:
Robert Sachunsky
parent
8ffc4ed8d3
commit
d2f2a1e06b
1 changed files with 50 additions and 87 deletions
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@ -41,7 +41,7 @@ from .utils.utils_ocr import (
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@dataclass
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class EynollahOcrResult:
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extracted_texts_merged: List
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extracted_confs_merged: Optional[List]
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extracted_confs_merged: List
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cropped_lines_region_indexer: List
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total_bb_coordinates:List
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@ -156,10 +156,6 @@ class Eynollah_ocr(Eynollah):
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conf = output.sequences_scores.exp().clamp(0.0, 1.0).tolist()
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else:
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conf = [1.0] * len(output.sequences)
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if conf < self.min_conf_value_of_textline_text:
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extracted_confs.extend(0)
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extracted_texts.extend("")
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continue
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text = self.model_zoo.get('trocr_processor').batch_decode(
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output.sequences,
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skip_special_tokens=True,
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@ -327,10 +323,6 @@ class Eynollah_ocr(Eynollah):
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def nooov(x):
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return x != b'[UNK]'
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for pred, prob in zip(preds, probs):
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if prob < self.min_conf_value_of_textline_text:
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extracted_texts.append("")
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extracted_confs.append(0)
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else:
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text = b''.join(
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filter(nooov,
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map(bytes,
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@ -375,7 +367,6 @@ class Eynollah_ocr(Eynollah):
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extracted_texts_merged = result.extracted_texts_merged
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extracted_confs_merged = result.extracted_confs_merged
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unique_cropped_lines_region_indexer = np.unique(cropped_lines_region_indexer)
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if out_image_with_text:
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image_text = Image.new("RGB", (img.shape[1], img.shape[0]), "white")
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draw = ImageDraw.Draw(image_text)
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@ -403,78 +394,50 @@ class Eynollah_ocr(Eynollah):
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draw.text((text_x, text_y), extracted_texts_merged[indexer_text], fill="black", font=font)
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image_text.save(out_image_with_text)
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text_by_textregion = []
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for ind in unique_cropped_lines_region_indexer:
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ind = np.array(cropped_lines_region_indexer)==ind
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extracted_texts_merged_un = np.array(extracted_texts_merged)[ind]
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if len(extracted_texts_merged_un)>1:
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text_by_textregion_ind = ""
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cropped_lines_region_indexer = np.array(cropped_lines_region_indexer)
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for n_region, region in enumerate(page_tree.getroot().iter('{%s}TextRegion' % page_ns)):
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lines_indexer = np.flatnonzero(cropped_lines_region_indexer == n_region)
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if not len(lines_indexer):
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continue
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text_region = ""
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next_glue = ""
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for indt in range(len(extracted_texts_merged_un)):
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if (extracted_texts_merged_un[indt].endswith('⸗') or
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extracted_texts_merged_un[indt].endswith('-') or
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extracted_texts_merged_un[indt].endswith('¬')):
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text_by_textregion_ind += next_glue + extracted_texts_merged_un[indt][:-1]
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for line_idx in lines_indexer:
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if extracted_confs_merged[line_idx] < self.min_conf_value_of_textline_text:
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continue
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text_line = extracted_texts_merged[line_idx]
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if (text_line.endswith(('⸗', '-', '¬')) and
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# last line of a region can still be wrapped
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# around columns or pages
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line_idx < len(lines_indexer) - 1):
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text_region += next_glue + text_line[:-1]
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next_glue = ""
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else:
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text_by_textregion_ind += next_glue + extracted_texts_merged_un[indt]
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text_region += next_glue + text_line
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next_glue = " "
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text_by_textregion.append(text_by_textregion_ind)
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region_textequiv = region.find('{%s}TextEquiv' % page_ns)
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if region_textequiv is None:
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region_textequiv = ET.SubElement(region, 'TextEquiv')
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region_teunicode = region_textequiv.find('{%s}Unicode' % page_ns)
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if region_teunicode is None:
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region_teunicode = ET.SubElement(region_textequiv, 'Unicode')
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region_teunicode.text = text_region
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for n_line, line in enumerate(region.iter('{%s}TextLine' % page_ns)):
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line_textequiv = line.find('{%s}TextEquiv' % page_ns)
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if line_textequiv is None:
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line_textequiv = ET.SubElement(line, 'TextEquiv')
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line_teunicode = line_textequiv.find('{%s}Unicode' % page_ns)
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if line_teunicode is None:
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line_teunicode = ET.SubElement(line_textequiv, 'Unicode')
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line_idx = lines_indexer[n_line]
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if extracted_confs_merged[line_idx] < self.min_conf_value_of_textline_text:
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line.remove(line_textequiv)
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else:
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text_by_textregion.append(" ".join(extracted_texts_merged_un))
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indexer = 0
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indexer_textregion = 0
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for nn in page_tree.getroot().iter(f'{{{page_ns}}}TextRegion'):
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is_textregion_text = False
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for childtest in nn:
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if childtest.tag.endswith("TextEquiv"):
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is_textregion_text = True
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if not is_textregion_text:
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text_subelement_textregion = ET.SubElement(nn, 'TextEquiv')
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unicode_textregion = ET.SubElement(text_subelement_textregion, 'Unicode')
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has_textline = False
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for child_textregion in nn:
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# FIXME: should remove Word level, if it already exists
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if child_textregion.tag.endswith("TextLine"):
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is_textline_text = False
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for childtest2 in child_textregion:
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if childtest2.tag.endswith("TextEquiv"):
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is_textline_text = True
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if not is_textline_text:
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text_subelement = ET.SubElement(child_textregion, 'TextEquiv')
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if extracted_confs_merged:
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text_subelement.set('conf', f"{extracted_confs_merged[indexer]:.2f}")
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unicode_textline = ET.SubElement(text_subelement, 'Unicode')
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unicode_textline.text = extracted_texts_merged[indexer]
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else:
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for childtest3 in child_textregion:
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if childtest3.tag.endswith("TextEquiv"):
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for child_uc in childtest3:
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if child_uc.tag.endswith("Unicode"):
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if extracted_confs_merged:
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childtest3.set('conf', f"{extracted_confs_merged[indexer]:.2f}")
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child_uc.text = extracted_texts_merged[indexer]
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indexer = indexer + 1
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has_textline = True
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if has_textline:
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if is_textregion_text:
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for child4 in nn:
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if child4.tag.endswith("TextEquiv"):
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for childtr_uc in child4:
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if childtr_uc.tag.endswith("Unicode"):
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childtr_uc.text = text_by_textregion[indexer_textregion]
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else:
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unicode_textregion.text = text_by_textregion[indexer_textregion]
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indexer_textregion = indexer_textregion + 1
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line_textequiv.set('conf', str(round(extracted_confs_merged[line_idx], 2)))
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line_teunicode.text = extracted_texts_merged[line_idx]
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ET.register_namespace("",page_ns)
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self.logger.info("output filename: '%s'", out_file_ocr)
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