Traffic sign target detection method based on multilevel divide-and-conquer network
A traffic sign and target detection technology, applied in the field of image processing, can solve the problems of lack of category samples, low traffic sign detection accuracy and recall rate, and unbalanced number of category samples.
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[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0036] refer to figure 1 The implementation steps of the present invention are further described.
[0037] Step 1, generate training set and test set.
[0038] In the embodiment of the present invention, all the pictures are selected from the public TT100K2021 data set, and the images whose categories are red, blue, and yellow and whose size is W×H are used as the target picture data set I={i 1 ,i 2 ,...,i x ,...,i X}, label the coordinates of each vertex of each circumscribed rectangular frame where the traffic sign target in each picture is located and the color category it represents, and generate a label file M containing the coordinates of each vertex of each target and its category information after labeling, and label each Each vertex coordinate of each circumscribed rectangular frame where the traffic sign target in the picture is located a...
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