def work(self, im):
super(HandCropper, self).work(im)
self.thresholdGrey(150)
self.findContours()
self.filterSudoku() # minAreaRect旋转矩形, 筛选出九个九宫格块的轮廓
self.alignPlank() # 透视变换, 对齐并切割出大板（包含整个九宫格和七段管数字板）
self.splitSudokuLight()
self.threshold_im = self.threshold_sudoku_im
self.findRecContours()
self.filterRecContoursByArea(9) # boundingRect, 筛选出九宫格块
self.rec_contours = self.resumeOrder(self.rec_contours[:9],
ykey=lambda it: it[1],
xkey=lambda it: it[0])
self.cropRecContours(self.rec_contours,
base_im=self.threshold_sudoku_im)
if SAVE:
self.saveCropResults()
self.saveCropResults(results=[self.threshold_light_im])
return self.results
if __name__ == '__main__':
# d = Detector(LightCropper(), None)
# d.work('../test_im/52648.jpg')
d = Detector(HandCropper(), None)
d.work('../test_im/real1.jpg')
