Subway security check method based on combination of CPSNet and yolov3
A combination and security inspection technology, applied in the field of medical image bone segmentation, can solve the problem of low detection accuracy, achieve the effect of improving detection accuracy, good detection effect, and various performance metrics
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[0023] Embodiment: a subway security image detection method based on the combination of CPSNet and yolov3, the specific steps are as follows:
[0024] Step 1, select yolov3 as the main network, use CPSNet to replace the feature extraction network of darknet53 of the original yolov3, and combine them to build a new neural network: use csresnext as the feature extraction network to extract a more complete feature map as the input of the detection network;
[0025] Step 2, using self-collected images as training samples to train the new neural network built in step 1;
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