Bathroom ceramic surface defect detection method
A ceramic surface and defect detection technology, applied in neural learning methods, image data processing, biological neural network models, etc., can solve the problem that the detection accuracy and detection speed cannot meet the bathroom ceramic defect detection, etc. The effect of wide range and fast detection speed
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[0029] Below in conjunction with accompanying drawing, structural principle and working principle of the present invention are specifically described:
[0030] see figure 1 , figure 1 It is a method flow chart of an embodiment of the present invention. Sanitary ceramic surface defect detection method of the present invention, based on improving CenterNet, such as figure 1 shown, including the following steps:
[0031] Step S100, collect the original image of sanitary ceramics (for example, you can go to the production base), and construct a data set of surface defect images of sanitary ceramics;
[0032] Step S200, using data enhancement technology to expand the surface defect images of sanitary ceramics, and then using image calibration software to make all the surface defect images of sanitary ceramics according to the format of the data set VOC 2007 into a data set of surface defects of sanitary ceramics;
[0033] Step S300, using Tensorflow and Keras open source deep l...
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