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Ensure all models work only on valid pages (#158)

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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer
2024-10-18 08:54:06 +02:00
committed by GitHub
parent 034a411057
commit a00c937e19
10 changed files with 413 additions and 376 deletions
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108
docling/models/tesseract_ocr_cli_model.py
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@@ -110,61 +110,65 @@ class TesseractOcrCliModel(BaseOcrModel):
for page in page_batch:
assert page._backend is not None
if not page._backend.is_valid():
yield page
else:
ocr_rects = self.get_ocr_rects(page)
ocr_rects = self.get_ocr_rects(page)
all_ocr_cells = []
for ocr_rect in ocr_rects:
# Skip zero area boxes
if ocr_rect.area() == 0:
continue
high_res_image = page._backend.get_page_image(
scale=self.scale, cropbox=ocr_rect
)
with tempfile.NamedTemporaryFile(suffix=".png", mode="w") as image_file:
fname = image_file.name
high_res_image.save(fname)
df = self._run_tesseract(fname)
# _log.info(df)
# Print relevant columns (bounding box and text)
for ix, row in df.iterrows():
text = row["text"]
conf = row["conf"]
l = float(row["left"])
b = float(row["top"])
w = float(row["width"])
h = float(row["height"])
t = b + h
r = l + w
cell = OcrCell(
id=ix,
text=text,
confidence=conf / 100.0,
bbox=BoundingBox.from_tuple(
coord=(
(l / self.scale) + ocr_rect.l,
(b / self.scale) + ocr_rect.t,
(r / self.scale) + ocr_rect.l,
(t / self.scale) + ocr_rect.t,
),
origin=CoordOrigin.TOPLEFT,
),
all_ocr_cells = []
for ocr_rect in ocr_rects:
# Skip zero area boxes
if ocr_rect.area() == 0:
continue
high_res_image = page._backend.get_page_image(
scale=self.scale, cropbox=ocr_rect
)
all_ocr_cells.append(cell)
## Remove OCR cells which overlap with programmatic cells.
filtered_ocr_cells = self.filter_ocr_cells(all_ocr_cells, page.cells)
with tempfile.NamedTemporaryFile(
suffix=".png", mode="w"
) as image_file:
fname = image_file.name
high_res_image.save(fname)
page.cells.extend(filtered_ocr_cells)
df = self._run_tesseract(fname)
# DEBUG code:
# self.draw_ocr_rects_and_cells(page, ocr_rects)
# _log.info(df)
yield page
# Print relevant columns (bounding box and text)
for ix, row in df.iterrows():
text = row["text"]
conf = row["conf"]
l = float(row["left"])
b = float(row["top"])
w = float(row["width"])
h = float(row["height"])
t = b + h
r = l + w
cell = OcrCell(
id=ix,
text=text,
confidence=conf / 100.0,
bbox=BoundingBox.from_tuple(
coord=(
(l / self.scale) + ocr_rect.l,
(b / self.scale) + ocr_rect.t,
(r / self.scale) + ocr_rect.l,
(t / self.scale) + ocr_rect.t,
),
origin=CoordOrigin.TOPLEFT,
),
)
all_ocr_cells.append(cell)
## Remove OCR cells which overlap with programmatic cells.
filtered_ocr_cells = self.filter_ocr_cells(all_ocr_cells, page.cells)
page.cells.extend(filtered_ocr_cells)
# DEBUG code:
# self.draw_ocr_rects_and_cells(page, ocr_rects)
yield page