|
55 | 55 | ref = cv2.cvtColor(ref, cv2.COLOR_BGR2GRAY) |
56 | 56 | ref = cv2.threshold(ref, 10, 255, cv2.THRESH_BINARY_INV)[1] |
57 | 57 |
|
58 | | -cv2.imshow('ref',ref) |
| 58 | +cv2.imshow('ref',ref) |
59 | 59 | cv2.waitKey(0) |
60 | 60 |
|
61 | 61 | ''' |
|
88 | 88 | print('digits:',digits.keys()) |
89 | 89 | ''' |
90 | 90 |
|
91 | | -#try1 |
| 91 | +#try1 |
92 | 92 | digits = {} |
93 | | -rows,cols=ref.shape |
94 | | -per=int(cols/10) |
| 93 | +rows,cols=ref.shape |
| 94 | +per=int(cols/10) |
95 | 95 | for x in range(10): |
96 | | - roi = ref[:, x*per:(x+1)*per] |
| 96 | + roi = ref[:, x*per:(x+1) *per] |
97 | 97 | roi = cv2.resize(roi, (57, 88)) |
98 | 98 | cv2.imshow('roi', roi) |
99 | 99 | cv2.waitKey(500) |
100 | 100 |
|
101 | 101 | # update the digits dictionary, mapping the digit name to the ROI |
102 | 102 | digits[x] = roi |
103 | 103 | # 从参考图像中提取数字,并将其与相应的数字名称相关联 |
104 | | -print('digits:',digits.keys()) |
| 104 | +print('digits:',digits.keys()) |
105 | 105 |
|
106 | 106 | # 初始化一对结构化的内核: |
107 | | -#您可以将内核看作是一个小矩阵,我们在图像上滑动以进行(卷积)操作,例如模糊,锐化,边缘检测或其他图像处理操作。 |
| 107 | +#您可以将内核看作是一个小矩阵,我们在图像上滑动以进行(卷积)操作,例如模糊,锐化,边缘检测或其他图像处理操作。 |
108 | 108 | # initialize a rectangular (wider than it is tall) and square |
109 | 109 | # structuring kernel |
110 | 110 | rectKernel = cv2.getStructuringElement(cv2.MORPH_RECT, (9, 3)) |
|
184 | 184 |
|
185 | 185 | # detect the contours of each individual digit in the group, |
186 | 186 | # then sort the digit contours from left to right |
187 | | - digitCnts = cv2.findContours(group.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) |
188 | | - cv2.imshow('digitCnts',digitCnts[0]) |
| 187 | + digitCnts = cv2.findContours(group.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) |
| 188 | + cv2.imshow('digitCnts',digitCnts[0]) |
189 | 189 | cv2.waitKey(1000) |
190 | 190 | # digitCnts = digitCnts[0] if imutils.is_cv2() else digitCnts[1] |
191 | | - digitCnts =digitCnts[1] |
| 191 | + digitCnts =digitCnts[1] |
192 | 192 | # digitCnts = contours.sort_contours(digitCnts,method="left-to-right")[0] |
193 | 193 |
|
194 | 194 | # loop over the digit contours |
|
224 | 224 | output.extend(groupOutput) |
225 | 225 |
|
226 | 226 | # display the output credit card information to the screen |
227 | | -print("Credit Card Type: {}".format(FIRST_NUMBER.get(output[0],'None'))) |
| 227 | +print("Credit Card Type: {}".format(FIRST_NUMBER.get(output[0],'None'))) |
228 | 228 | print("Credit Card #: {}".format("".join(output))) |
229 | | -cv2.imshow("Image", image) |
| 229 | +cv2.imshow("Image", image)# TODO 效果不是很好,需要改进 |
230 | 230 | cv2.waitKey(0) |
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