From ac766ed5ec375a384da5c454103aef055aa9344a Mon Sep 17 00:00:00 2001
From: Samo Penic <samo.penic@gmail.com>
Date: Fri, 16 Nov 2018 20:41:33 +0000
Subject: [PATCH] recognition is a bit more robust....
---
Ocr.py | 43 +++++++++++++++++++++++++++++++++++++++++--
1 files changed, 41 insertions(+), 2 deletions(-)
diff --git a/Ocr.py b/Ocr.py
index 35c6729..f680669 100644
--- a/Ocr.py
+++ b/Ocr.py
@@ -6,13 +6,15 @@
class Paper:
- def __init__(self, filename=None, sid_classifier=None):
+ def __init__(self, filename=None, sid_classifier=None, settings=None):
self.filename = filename
self.invalid = None
self.QRData = None
+ self.settings={'answer_treshold':0.25,} if settings is None else settings
self.errors = []
self.warnings = []
- self.sid_classifier=sid_classifier
+ self.sid=None
+ self.sid_classifier = sid_classifier
if filename is not None:
self.loadImage(filename)
self.runOcr()
@@ -216,11 +218,48 @@
def get_enhanced_sid(self):
if self.sid_classifier is None:
return "x"
+ if self.settings is not None:
+ sid_mask=self.settings.get("sid_mask", None)
es = getSID(
self.img[
int(0.045 * self.imgHeight) : int(0.085 * self.imgHeight),
int(0.7 * self.imgWidth) : int(0.99 * self.imgWidth),
],
self.sid_classifier,
+ sid_mask
)
return es
+
+
+ def get_code_data(self):
+ qrdata = bytes.decode(self.QRData, 'utf8')
+ if self.QRDecode[0].type=='EAN13':
+ return {'exam_id': int(qrdata[0:7]),
+ 'page_no': int(qrdata[7]),
+ 'paper_id': int(qrdata[-5:-1]),
+ 'faculty_id': None,
+ 'sid': None
+ }
+ else:
+ data=qrdata.split(',')
+ retval={'exam_id': int(data[1]),
+ 'page_no': int(data[3]),
+ 'paper_id':int(data[2]),
+ 'faculty_id':int(data[0]),
+ }
+ if(len(data)>4):
+ retval['sid']=data[4]
+
+ return retval
+
+ def get_paper_ocr_data(self):
+ data=self.get_code_data()
+ data['qr']=self.QRData
+ data['errors']=self.errors
+ data['warnings']=self.warnings
+ data['up_position']=(list(self.xMarkerLocations[1]/self.imgWidth), list(self.yMarkerLocations[1]/self.imgHeight))
+ data['right_position']=(list(self.xMarkerLocations[1]/self.imgWidth), list(self.yMarkerLocations[1]/self.imgHeight))
+ data['ans_matrix']=((np.array(self.answerMatrix)>self.settings['answer_treshold'])*1).tolist()
+ if data['sid'] is None:
+ data['sid']=self.get_enhanced_sid()
+ return data
--
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