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warn if passing raw images to single-channel models

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Robert Sachunsky 2019-11-06 00:39:05 +01:00 • committed by Gerber, Mike
parent 5273247ab3
commit d8db405a4c
1 changed files with 27 additions and 6 deletions
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33
ocrd_calamari/recognize.py
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@ -31,6 +31,14 @@ class CalamariRecognize(Processor):
checkpoints = glob(self.parameter['checkpoint'])
self.predictor = MultiPredictor(checkpoints=checkpoints)
self.input_channels = self.predictor.predictors[0].network.input_channels
#self.input_channels = self.predictor.predictors[0].network_params.channels # not used!
# binarization = self.predictor.predictors[0].model_params.data_preprocessor.binarization # not used!
# self.features = ('' if self.input_channels != 1 else
# 'binarized' if binarization != 'GRAY' else
# 'grayscale_normalized')
self.features = ''
voter_params = VoterParams()
voter_params.type = VoterParams.Type.Value(self.parameter['voter'].upper())
self.voter = voter_from_proto(voter_params)
@ -54,17 +62,30 @@ class CalamariRecognize(Processor):
pcgts = page_from_file(self.workspace.download_file(input_file))
page = pcgts.get_Page()
page_image, page_xywh, page_image_info = self.workspace.image_from_page(page, page_id)
page_image, page_coords, page_image_info = self.workspace.image_from_page(
page, page_id, feature_selector=self.features)
for region in pcgts.get_Page().get_TextRegion():
region_image, region_xywh = self.workspace.image_from_segment(region, page_image, page_xywh)
for region in page.get_TextRegion():
region_image, region_coords = self.workspace.image_from_segment(
region, page_image, page_coords, feature_selector=self.features)
textlines = region.get_TextLine()
log.info("About to recognize %i lines of region '%s'", len(textlines), region.id)
for (line_no, line) in enumerate(textlines):
log.debug("Recognizing line '%s' in region '%s'", line_no, region.id)
for line in textlines:
log.debug("Recognizing line '%s' in region '%s'", line.id, region.id)
line_image, line_xywh = self.workspace.image_from_segment(line, region_image, region_xywh)
line_image, line_coords = self.workspace.image_from_segment(
line, region_image, region_coords, feature_selector=self.features)
if ('binarized' not in line_coords['features'] and
'grayscale_normalized' not in line_coords['features'] and
self.input_channels == 1):
# We cannot use a feature selector for this since we don't
# know whether the model expects (has been trained on)
# binarized or grayscale images; but raw images are likely
# always inadequate:
log.warning("Using raw image for line '%s' in region '%s'",
line.id, region.id)
line_image_np = np.array(line_image, dtype=np.uint8)
raw_results = list(self.predictor.predict_raw([line_image_np], progress_bar=False))[0]