qurator-spk/ocrd_calamari
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🚧 Extract a method to resolve an image as a Numpy array

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Gerber, Mike 2019-08-08 10:49:35 +02:00
parent dbe43e2316
commit b9e38487bd
2 changed files with 5 additions and 5 deletions
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9
ocrd_calamari/ocr.py
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@ -24,7 +24,6 @@ class CalamariOcr(Processor):
kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd-calamari-ocr'] kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd-calamari-ocr']
super(CalamariOcr, self).__init__(*args, **kwargs) super(CalamariOcr, self).__init__(*args, **kwargs)
def _init_calamari(self): def _init_calamari(self):
checkpoints = glob('/home/mike/devel/experiments/train-calamari-gt4histocr/models/*.ckpt.json') # XXX checkpoints = glob('/home/mike/devel/experiments/train-calamari-gt4histocr/models/*.ckpt.json') # XXX
self.predictor = MultiPredictor(checkpoints=checkpoints) self.predictor = MultiPredictor(checkpoints=checkpoints)
@ -33,6 +32,8 @@ class CalamariOcr(Processor):
voter_params.type = VoterParams.Type.Value('confidence_voter_default_ctc'.upper()) voter_params.type = VoterParams.Type.Value('confidence_voter_default_ctc'.upper())
self.voter = voter_from_proto(voter_params) self.voter = voter_from_proto(voter_params)
def resolve_image_as_np(self, image_url, coords):
return np.array(self.workspace.resolve_image_as_pil(image_url, coords), dtype=np.uint8)
def process(self): def process(self):
""" """
@ -51,12 +52,10 @@ class CalamariOcr(Processor):
log.info("About to recognize %i lines of region '%s'", len(textlines), region.id) log.info("About to recognize %i lines of region '%s'", len(textlines), region.id)
for (line_no, line) in enumerate(textlines): for (line_no, line) in enumerate(textlines):
log.debug("Recognizing line '%s' in region '%s'", line_no, region.id) log.debug("Recognizing line '%s' in region '%s'", line_no, region.id)
image = self.workspace.resolve_image_as_pil(image_url,
polygon_from_points(line.get_Coords().points))
image_np = np.array(image, dtype=np.uint8) # XXX better way?
raw_results = list(self.predictor.predict_raw([image_np], progress_bar=False))[0] image = self.resolve_image_as_np(image_url, polygon_from_points(line.get_Coords().points))
raw_results = list(self.predictor.predict_raw([image], progress_bar=False))[0]
for i, p in enumerate(raw_results): for i, p in enumerate(raw_results):
p.prediction.id = "fold_{}".format(i) p.prediction.id = "fold_{}".format(i)

1
requirements.txt
View file

@ -1,3 +1,4 @@
numpy
calamari-ocr calamari-ocr
tensorflow-gpu tensorflow-gpu
click click