| | |
| | | |
| | | |
| | | 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() |
| | |
| | | def get_enhanced_sid(self): |
| | | if self.sid_classifier is None: |
| | | return "x" |
| | | es = getSID( |
| | | if self.settings is not None: |
| | | sid_mask=self.settings.get("sid_mask", None) |
| | | es,err,warn = 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 |
| | | ) |
| | | [self.errors.append(e) for e in err] |
| | | [self.warnings.append(w) for w in warn] |
| | | 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 |