Method for generating traffic sign recognition model
A traffic sign recognition and model technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problem of poor detection effect of vehicle sensors on road traffic signs, improve detection effect and weaken background The effect of interference and strengthening feature information
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[0027] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0028] Such as Figure 1~3 As shown, the present invention provides a method for generating a traffic sign recognition model, comprising:
[0029] Step S1, constructing a traffic sign recognition model, including: using a weighted bidirectional feature pyramid network instead of a path aggregation network, the weighted bidirectional feature pyramid network includes multiple bidirectional paths, each bidirectional path is regarded as a feature network layer, and the cross-feature The connection of the network layer and the weight adjustment of the transferred feature map;
[0030] Here, a weighted two-way feature pyramid network with more balanced accuracy and efficiency is used instead of the path aggregation network, and each tw...
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