| | |
| | | import numpy as np |
| | | import os |
| | | import pkg_resources |
| | | from .rotation_wrapper import get_scan_angle |
| | | |
| | | markerfile = '/template-sq.png' # always use slash |
| | | markerfilename = pkg_resources.resource_filename(__name__, markerfile) |
| | |
| | | if xpos > self.imgHeight / 2.0 and ypos > self.imgWidth / 2.0: |
| | | self.rotateAngle(180) |
| | | |
| | | #small rotation check |
| | | angle=get_scan_angle(self.filename) |
| | | if angle>0.1 or angle<-0.1: |
| | | print("Rotating for angle of {}.".format(angle)) |
| | | self.rotateAngle(-angle) |
| | | |
| | | def rotateAngle(self, angle=0): |
| | | # rot_mat = cv2.getRotationMatrix2D( |
| | | # (self.imgHeight / 2, self.imgWidth / 2), angle, 1.0 |
| | |
| | | # todo, make better tresholding |
| | | def imgTreshold(self): |
| | | (self.thresh, self.bwimg) = cv2.threshold( |
| | | self.img, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU |
| | | self.img, 128, 255, |
| | | cv2.THRESH_BINARY | cv2.THRESH_OTSU |
| | | ) |
| | | |
| | | def getSkewAngle(self): |
| | |
| | | self.locateUpMarkers() |
| | | self.locateRightMarkers() |
| | | |
| | | roixoff = 10 |
| | | roiyoff = 5 |
| | | roiwidth = 50 |
| | | roixoff = 4 |
| | | roiyoff = 0 |
| | | roiwidth = 55 |
| | | roiheight = roiwidth |
| | | totpx = roiwidth * roiheight |
| | | |
| | | cimg = cv2.cvtColor(self.img, cv2.COLOR_GRAY2BGR) |
| | | self.answerMatrix = [] |
| | | for y in self.yMarkerLocations[0]: |
| | | oneline = [] |
| | |
| | | # cv2.imwrite('ans_x'+str(x)+'_y_'+str(y)+'.png',roi) |
| | | black = totpx - cv2.countNonZero(roi) |
| | | oneline.append(black / totpx) |
| | | cv2.rectangle(cimg, (x - roixoff,y - roiyoff), (x + int(roiwidth - roixoff),y + int(roiheight - roiyoff)), (0, 255, 255), 2) |
| | | cv2.imwrite('/tmp/debug_answers.png',cimg) |
| | | self.answerMatrix.append(oneline) |
| | | |
| | | def get_enhanced_sid(self): |
| | |
| | | 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), |
| | | int(0.65 * self.imgWidth) : int(0.95 * self.imgWidth), |
| | | ], |
| | | self.sid_classifier, |
| | | sid_mask, |
| | |
| | | data = qrdata.split(",") |
| | | retval = { |
| | | "exam_id": int(data[1]), |
| | | "page_no": int(data[3])+1, |
| | | "page_no": int(data[3]), |
| | | "paper_id": int(data[2]), |
| | | "faculty_id": int(data[0]), |
| | | "sid": None |
| | |
| | | |
| | | def get_paper_ocr_data(self): |
| | | data = self.get_code_data() |
| | | if self.QRData is None: |
| | | return None |
| | | data["qr"] = bytes.decode(self.QRData, 'utf8') |
| | | data["errors"] = self.errors |
| | | data["warnings"] = self.warnings |
| | | data["up_position"] = ( |
| | | list(self.xMarkerLocations[1] / self.imgWidth), |
| | | list(self.yMarkerLocations[1] / self.imgHeight), |
| | | list(self.xMarkerLocations[0] / self.imgWidth), |
| | | list(self.xMarkerLocations[1] / self.imgHeight), |
| | | ) |
| | | data["right_position"] = ( |
| | | list(self.xMarkerLocations[1] / self.imgWidth), |
| | | list(self.yMarkerLocations[0] / 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"] == 2: |
| | | if data["sid"] is None and data["page_no"] == 1: |
| | | data["sid"] = self.get_enhanced_sid() |
| | | output_filename=os.path.join(self.output_path, '.'.join(self.filename.split('/')[-1].split('.')[:-1])+".png") |
| | | cv2.imwrite(output_filename, self.img) |
| | | data['output_filename']=output_filename |
| | | print(np.array(self.answerMatrix)) |
| | | return data |