| | |
| | | self.filename = filename |
| | | self.invalid = None |
| | | self.QRData = None |
| | | self.settings={'answer_treshold':0.25,} if settings is None else settings |
| | | self.settings = {"answer_threshold": 0.25} if settings is None else settings |
| | | self.errors = [] |
| | | self.warnings = [] |
| | | self.sid=None |
| | | self.sid = None |
| | | self.sid_classifier = sid_classifier |
| | | if filename is not None: |
| | | self.loadImage(filename) |
| | |
| | | self.data = None |
| | | self.invalid = True |
| | | return |
| | | if(len(d)>1): #if there are multiple codes, get first ean or qr code available. |
| | | for dd in d: |
| | | if(dd.type=="EAN13" or dd.type=="QR"): |
| | | d[0]=dd |
| | | break |
| | | self.QRDecode = d |
| | | self.QRData = d[0].data |
| | | xpos = d[0].rect.left |
| | |
| | | self.rotateAngle(180) |
| | | |
| | | def rotateAngle(self, angle=0): |
| | | #rot_mat = cv2.getRotationMatrix2D( |
| | | # rot_mat = cv2.getRotationMatrix2D( |
| | | # (self.imgHeight / 2, self.imgWidth / 2), angle, 1.0 |
| | | #) |
| | | # ) |
| | | rot_mat = cv2.getRotationMatrix2D( |
| | | (self.imgWidth/2, self.imgHeight/2), angle, 1.0 |
| | | (self.imgWidth / 2, self.imgHeight / 2), angle, 1.0 |
| | | ) |
| | | result = cv2.warpAffine( |
| | | self.img, |
| | |
| | | if self.sid_classifier is None: |
| | | return "x" |
| | | if self.settings is not None: |
| | | sid_mask=self.settings.get("sid_mask", None) |
| | | es,err,warn = getSID( |
| | | sid_mask = self.settings.get("sid_mask", None) |
| | | es, err, warn = getSID( |
| | | self.img[ |
| | | int(0.04 * self.imgHeight) : int(0.095 * self.imgHeight), |
| | | int(0.7 * self.imgWidth) : int(0.99 * self.imgWidth), |
| | | ], |
| | | self.sid_classifier, |
| | | sid_mask |
| | | 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 self.QRData is None: |
| | | self.errors.append("Could not read QR or EAN code! Not an exam?") |
| | | retval = { |
| | | "exam_id": None, |
| | | "page_no": None, |
| | | "paper_id": None, |
| | | "faculty_id": None, |
| | | "sid": None, |
| | | } |
| | | if(len(data)>4): |
| | | retval['sid']=data[4] |
| | | return retval |
| | | 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() |
| | | 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_threshold"]) * 1 |
| | | ).tolist() |
| | | if data["sid"] is None and data["page_no"] == 0: |
| | | data["sid"] = self.get_enhanced_sid() |
| | | return data |