Cutter feature point identification method and equipment combining transverse geometric features of adjacent cutter paths
A technology of geometric features and recognition methods, applied in neural learning methods, character and pattern recognition, image enhancement, etc., can solve the problems of difficulty in combining the horizontal geometric feature information of adjacent tool paths, poor applicability and effect, etc., and achieve strong robustness. The effect of stickiness and applicability, strong feature expression ability, high recognition accuracy and recall rate
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[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0047] see Figure 4 , with the development of deep learning theory and big data-related technologies, graph neural network emerges as the times require. Graph neural network is a neural network structure used to process graph data, which can directly read non-Euclidean structured data. The identification of feature points provides an idea.
[0048] see figure 1 , Figure 13 , Figure 14 a...
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