convert between cv2 and pil, DRY binarizer call

pull/5/head
Konstantin Baierer 4 years ago
parent fabb63834a
commit 12b44af329

@ -4,7 +4,11 @@ import os.path
from pkg_resources import resource_string
from json import loads
from PIL import Image
import numpy as np
import cv2
from click import command
from ocrd_utils import (
getLogger,
assert_file_grp_cardinality,
@ -21,6 +25,16 @@ from .sbb_binarize import SbbBinarizer
OCRD_TOOL = loads(resource_string(__name__, 'ocrd-tool.json').decode('utf8'))
TOOL = 'ocrd-sbb-binarize'
def cv2pil(img):
color_coverted = cv2.cvtColor(img, cv2.COLOR_BGRA2RGB)
return Image.fromarray(color_coverted)
def pil2cv(img):
# from ocrd/workspace.py
color_conversion = cv2.COLOR_GRAY2BGR if img.mode in ('1', 'L') else cv2.COLOR_RGB2BGR
pil_as_np_array = np.array(img).astype('uint8') if img.mode == '1' else np.array(img)
return cv2.cvtColor(pil_as_np_array, color_conversion)
class SbbBinarizeProcessor(Processor):
def __init__(self, *args, **kwargs):
@ -28,6 +42,14 @@ class SbbBinarizeProcessor(Processor):
kwargs['version'] = OCRD_TOOL['version']
super().__init__(*args, **kwargs)
def _run_binarizer(self, img):
return cv2pil(
SbbBinarizer(
image=pil2cv(img),
model=self.model_path,
patches=self.use_patches,
save=None).run())
def process(self):
"""
Binarize with sbb_binarization
@ -37,8 +59,8 @@ class SbbBinarizeProcessor(Processor):
assert_file_grp_cardinality(self.output_file_grp, 1)
oplevel = self.parameter['operation_level']
use_patches = self.parameter['patches']
model_path = self.parameter['model']
self.use_patches = self.parameter['patches'] # pylint: disable=attribute-defined-outside-init
self.model_path = self.parameter['model'] # pylint: disable=attribute-defined-outside-init
for n, input_file in enumerate(self.input_files):
file_id = make_file_id(input_file, self.output_file_grp)
@ -52,12 +74,7 @@ class SbbBinarizeProcessor(Processor):
if oplevel == 'page':
LOG.info("Binarizing on 'page' level in page '%s'", page_id)
page_image, page_xywh, _ = self.workspace.image_from_page(page, page_id)
bin_image = SbbBinarizer(
image=page_image,
model=model_path,
patches=use_patches,
save=None
).run()
bin_image = self._run_binarizer(page_image)
# update METS (add the image file):
bin_image_path = self.workspace.save_image_file(bin_image,
file_id + '.IMG-BIN',
@ -74,12 +91,7 @@ class SbbBinarizeProcessor(Processor):
region_image, region_xywh = self.workspace.image_from_segment(region, page_image, page_xywh)
if oplevel == 'region':
region_image_bin = SbbBinarizer(
image=region_image,
model=model_path,
patches=use_patches,
save=None
).run()
region_image_bin = self._run_binarizer(region_image)
region_image_bin_path = self.workspace.save_image_file(
region_image_bin,
"%s_%s.IMG-BIN" % (file_id, region.id),
@ -94,12 +106,7 @@ class SbbBinarizeProcessor(Processor):
LOG.warning("Page '%s' region '%s' contains no text lines", page_id, region.id)
for line in lines:
line_image, line_xywh = self.workspace.image_from_segment(line, page_image, page_xywh)
line_image_bin = SbbBinarizer(
image=line_image,
model=model_path,
patches=use_patches,
save=None
).run()
line_image_bin = self._run_binarizer(line_image)
line_image_bin_path = self.workspace.save_image_file(
line_image_bin,
"%s_%s_%s.IMG-BIN" % (file_id, region.id, line.id),

@ -8,6 +8,7 @@ from os.path import join
from warnings import catch_warnings, simplefilter
import numpy as np
from PIL import Image
import cv2
environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
stderr = sys.stderr
@ -23,9 +24,10 @@ class SbbBinarizer:
# TODO use True/False for patches
def __init__(self, model, image=None, image_path=None, patches='false', save=None):
if not(image or image_path) or (image and image_path):
raise ValueError("Must pass either a PIL image or an image_path")
if image:
if (image is not None and image_path is not None) or \
(image is None and image_path is None):
raise ValueError("Must pass either a opencv2 image or an image_path")
if image is not None:
self.image = image
else:
self.image = cv2.imread(self.image)

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