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LayoutLMv2FeatureExtractor now supports non-English languages when applying Tesseract OCR. #14514

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merged 7 commits into from
Nov 29, 2021
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LayoutLMv2FeatureExtractor now supports non-English languages when applying Tesseract OCR. #14514

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3ad64ca
Added the lang argument to apply_tesseract in feature_extraction_layo…
Xargonus Nov 24, 2021
95fe37d
Added ocr_lang argument to LayoutLMv2FeatureExtractor.__init__, which…
Xargonus Nov 24, 2021
1d3f3e3
Updated the documentation of the LayoutLMv2FeatureExtractor
Xargonus Nov 24, 2021
ccfaa07
Specified in the documentation of the LayoutLMv2FeatureExtractor that…
Xargonus Nov 24, 2021
83d6608
Update src/transformers/models/layoutlmv2/feature_extraction_layoutlm…
Xargonus Nov 24, 2021
d550ea5
Split comment into two lines to adhere to the max line size limit.
Xargonus Nov 24, 2021
2ae5d82
Update src/transformers/models/layoutlmv2/feature_extraction_layoutlm…
Xargonus Nov 25, 2021
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11 changes: 7 additions & 4 deletions src/transformers/models/layoutlmv2/feature_extraction_layoutlmv2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,11 +47,11 @@ def normalize_box(box, width, height):
]


def apply_tesseract(image: Image.Image):
def apply_tesseract(image: Image.Image, lang: Optional[str]):
"""Applies Tesseract OCR on a document image, and returns recognized words + normalized bounding boxes."""

# apply OCR
data = pytesseract.image_to_data(image, output_type="dict")
data = pytesseract.image_to_data(image, lang=lang, output_type="dict")
words, left, top, width, height = data["text"], data["left"], data["top"], data["width"], data["height"]

# filter empty words and corresponding coordinates
Expand Down Expand Up @@ -102,6 +102,8 @@ class LayoutLMv2FeatureExtractor(FeatureExtractionMixin, ImageFeatureExtractionM
Only has an effect if :obj:`do_resize` is set to :obj:`True`.
apply_ocr (:obj:`bool`, `optional`, defaults to :obj:`True`):
Whether to apply the Tesseract OCR engine to get words + normalized bounding boxes.
ocr_lang (:obj:`Optional[str]`, `optional`, defaults to :obj:`None`):
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Which language, specified by its ISO code, should the Tesseract OCR engine use. English is used by default.
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.. note::

Expand All @@ -110,12 +112,13 @@ class LayoutLMv2FeatureExtractor(FeatureExtractionMixin, ImageFeatureExtractionM

model_input_names = ["pixel_values"]

def __init__(self, do_resize=True, size=224, resample=Image.BILINEAR, apply_ocr=True, **kwargs):
def __init__(self, do_resize=True, size=224, resample=Image.BILINEAR, apply_ocr=True, ocr_lang=None, **kwargs):
super().__init__(**kwargs)
self.do_resize = do_resize
self.size = size
self.resample = resample
self.apply_ocr = apply_ocr
self.ocr_lang = ocr_lang
if apply_ocr:
requires_backends(self, "pytesseract")

Expand Down Expand Up @@ -199,7 +202,7 @@ def __call__(
words_batch = []
boxes_batch = []
for image in images:
words, boxes = apply_tesseract(self.to_pil_image(image))
words, boxes = apply_tesseract(self.to_pil_image(image), self.ocr_lang)
words_batch.append(words)
boxes_batch.append(boxes)

Expand Down