| commit | author | age | ||
| e555c0 | 1 | from pyzbar.pyzbar import decode |
| SP | 2 | import cv2 |
| 3 | import numpy as np | |
| 4 | import math | |
| 5 | ||
| 6 | ||
| 7 | ||
| 8 | ||
| 9 | class Paper(): | |
| 10 | ||
| 11 | def __init__(self, filename=None): | |
| 12 | self.filename=filename | |
| 13 | self.invalid=None | |
| 14 | self.QRData=None | |
| 15 | self.errors=[] | |
| 16 | self.warnings=[] | |
| 17 | if filename is not None: | |
| 18 | self.loadImage(filename) | |
| 19 | self.runOcr() | |
| 20 | ||
| 21 | ||
| 22 | def loadImage(self, filename, rgbchannel=0): | |
| 23 | self.img=cv2.imread(filename,rgbchannel) | |
| 24 | if self.img is None: | |
| 25 | self.errors.append("File could not be loaded!") | |
| 26 | self.invalid=True | |
| 27 | return | |
| 28 | self.imgHeight, self.imgWidth = self.img.shape[0:2] | |
| 29 | ||
| 30 | def saveImage(self, filename='debug_image.png'): | |
| 31 | cv2.imwrite(filename, self.img) | |
| 32 | ||
| 33 | def runOcr(self): | |
| 34 | if self.invalid==True: | |
| 35 | return | |
| 36 | self.decodeQRandRotate() | |
| 37 | self.imgTreshold() | |
| 38 | skewAngle=0 | |
| 39 | # try: | |
| 40 | # skewAngle=self.getSkewAngle() | |
| 41 | # except: | |
| 42 | # self.errors.append("Could not determine skew angle!") | |
| 43 | # self.rotateAngle(skewAngle) | |
| 44 | ||
| 45 | self.generateAnswerMatrix() | |
| 46 | ||
| 47 | self.saveImage() | |
| 48 | ||
| 49 | def decodeQRandRotate(self): | |
| 50 | if self.invalid == True: | |
| 51 | return | |
| 52 | blur = cv2.blur(self.img,(3,3)) | |
| 53 | d=decode(blur) | |
| 54 | self.img=blur | |
| 55 | if len(d) == 0: | |
| 56 | self.errors.append("QR code could not be found!") | |
| 57 | self.data=None | |
| 58 | self.invalid=True | |
| 59 | return | |
| 60 | self.QRDecode=d | |
| 61 | self.QRData=d[0].data | |
| 62 | xpos=d[0].rect.left | |
| 63 | ypos=d[0].rect.top | |
| 64 | #check if image is rotated wrongly | |
| 65 | if xpos>self.imgHeight/2.0 and ypost>self.imgWidth/2.0: | |
| 66 | self.rotate(180) | |
| 67 | ||
| 68 | def rotateAngle(self,angle=0): | |
| 69 | rot_mat = cv2.getRotationMatrix2D((self.imgHeight/2, self.imgWidth/2), angle, 1.0) | |
| 70 | result = cv2.warpAffine(self.img, | |
| 71 | rot_mat, | |
| 72 | (self.imgHeight, self.imgWidth), | |
| 73 | flags=cv2.INTER_CUBIC, | |
| 74 | borderMode=cv2.BORDER_CONSTANT, | |
| 75 | borderValue=(255, 255, 255)) | |
| 76 | ||
| 77 | self.img=result | |
| 78 | self.imgHeight, self.imgWidth = self.img.shape[0:2] | |
| 79 | ||
| 80 | ||
| 81 | #todo, make better tresholding | |
| 82 | def imgTreshold(self): | |
| 83 | (self.thresh, self.bwimg) = cv2.threshold(self.img, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU) | |
| 84 | ||
| 85 | ||
| 86 | def getSkewAngle(self): | |
| 87 | neg = 255 - self.bwimg # get negative image | |
| 88 | cv2.imwrite('debug_1.png', neg) | |
| 89 | ||
| 90 | angle_counter = 0 # number of angles | |
| 91 | angle = 0.0 # collects sum of angles | |
| 92 | cimg = cv2.cvtColor(self.img,cv2.COLOR_GRAY2BGR) | |
| 93 | ||
| 94 | # get all the Hough lines | |
| 95 | for line in cv2.HoughLinesP(neg, 1, np.pi/180, 325): | |
| 96 | x1, y1, x2, y2 = line[0] | |
| 97 | cv2.line(cimg,(x1,y1), (x2,y2), (0,0,255),2) | |
| 98 | # calculate the angle (in radians) | |
| 99 | this_angle = np.arctan2(y2 - y1, x2 - x1) | |
| 100 | if this_angle and abs(this_angle) <= 10: | |
| 101 | # filtered zero degree and outliers | |
| 102 | angle += this_angle | |
| 103 | angle_counter += 1 | |
| 104 | ||
| 105 | # the skew is calculated of the mean of the total angles, #try block helps with division by zero. | |
| 106 | try: | |
| 107 | skew = np.rad2deg(angle / angle_counter) #the 1.2 factor is just experimental.... | |
| 108 | except: | |
| 109 | skew=0 | |
| 110 | ||
| 111 | cv2.imwrite('debug_2.png',cimg) | |
| 112 | return skew | |
| 113 | ||
| 114 | ||
| 115 | def locateUpMarkers(self, threshold=0.8, height=200): | |
| 116 | template = cv2.imread('template.png',0) | |
| 117 | w, h = template.shape[::-1] | |
| 118 | crop_img = self.img[0:height, :] | |
| 119 | res = cv2.matchTemplate(crop_img,template,cv2.TM_CCOEFF_NORMED) | |
| 120 | loc = np.where( res >= threshold) | |
| 121 | cimg = cv2.cvtColor(crop_img,cv2.COLOR_GRAY2BGR) | |
| 122 | #remove false matching of the squares in qr code | |
| 123 | loc_filtered_x=[] | |
| 124 | loc_filtered_y=[] | |
| 125 | min_y=np.min(loc[0]) | |
| 126 | for pt in zip(*loc[::-1]): | |
| 127 | if(pt[1]<min_y+20): | |
| 128 | loc_filtered_y.append(pt[1]) | |
| 129 | loc_filtered_x.append(pt[0]) | |
| 130 | #order by x coordinate | |
| 131 | loc_filtered_x,loc_filtered_y = zip(*sorted(zip(loc_filtered_x, loc_filtered_y))) | |
| 132 | #loc=[loc_filtered_y,loc_filtered_x] | |
| 133 | #remove duplicates | |
| 134 | a=np.diff(loc_filtered_x)>40 | |
| 135 | a=np.append(a,True) | |
| 136 | loc_filtered_x=np.array(loc_filtered_x) | |
| 137 | loc_filtered_y=np.array(loc_filtered_y) | |
| 138 | loc=[loc_filtered_y[a],loc_filtered_x[a]] | |
| 139 | for pt in zip(*loc[::-1]): | |
| 140 | cv2.rectangle(cimg, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2) | |
| 141 | ||
| 142 | ||
| 143 | cv2.imwrite('debug_3.png',cimg) | |
| 144 | ||
| 145 | self.xMarkerLocations=loc | |
| 146 | return loc | |
| 147 | ||
| 148 | def locateRightMarkers(self, threshold=0.8, width=200): | |
| 149 | template = cv2.imread('template.png',0) | |
| 150 | w, h = template.shape[::-1] | |
| 151 | crop_img = self.img[:, -width:] | |
| 152 | res = cv2.matchTemplate(crop_img,template,cv2.TM_CCOEFF_NORMED) | |
| 153 | loc = np.where( res >= threshold) | |
| 154 | cimg = cv2.cvtColor(crop_img,cv2.COLOR_GRAY2BGR) | |
| 155 | #remove false matching of the squares in qr code | |
| 156 | loc_filtered_x=[] | |
| 157 | loc_filtered_y=[] | |
| 158 | max_x=np.max(loc[1]) | |
| 159 | for pt in zip(*loc[::-1]): | |
| 160 | if(pt[1]>max_x-20): | |
| 161 | loc_filtered_y.append(pt[1]) | |
| 162 | loc_filtered_x.append(pt[0]) | |
| 163 | #order by y coordinate | |
| 164 | loc_filtered_y,loc_filtered_x = zip(*sorted(zip(loc_filtered_y, loc_filtered_x))) | |
| 165 | #loc=[loc_filtered_y,loc_filtered_x] | |
| 166 | #remove duplicates | |
| 167 | a=np.diff(loc_filtered_y)>40 | |
| 168 | a=np.append(a,True) | |
| 169 | loc_filtered_x=np.array(loc_filtered_x) | |
| 170 | loc_filtered_y=np.array(loc_filtered_y) | |
| 171 | loc=[loc_filtered_y[a],loc_filtered_x[a]] | |
| 172 | for pt in zip(*loc[::-1]): | |
| 173 | cv2.rectangle(cimg, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2) | |
| 174 | ||
| 175 | ||
| 176 | cv2.imwrite('debug_4.png',cimg) | |
| 177 | ||
| 178 | self.yMarkerLocations=[loc[0], loc[1]+self.imgWidth-width] | |
| 179 | return self.yMarkerLocations | |
| 180 | ||
| 181 | ||
| 182 | def generateAnswerMatrix(self): | |
| 183 | self.locateUpMarkers() | |
| 184 | self.locateRightMarkers() | |
| 185 | ||
| 186 | roixoff=10 | |
| 187 | roiyoff=5 | |
| 188 | roiwidth=50 | |
| 189 | roiheight=roiwidth | |
| 190 | totpx=roiwidth*roiheight | |
| 191 | ||
| 192 | self.answerMatrix=[] | |
| 193 | for y in self.yMarkerLocations[0]: | |
| 194 | oneline=[] | |
| 195 | for x in self.xMarkerLocations[1]: | |
| 196 | roi=self.bwimg[ y-roiyoff:y+int(roiheight-roiyoff),x-roixoff:x+int(roiwidth-roixoff)] | |
| 197 | #cv2.imwrite('ans_x'+str(x)+'_y_'+str(y)+'.png',roi) | |
| 198 | black=totpx-cv2.countNonZero(roi) | |
| 199 | oneline.append(black/totpx) | |
| 200 | self.answerMatrix.append(oneline) | |
| 201 | ||
