A pothole detection method based on improved yolov3
A detection method and pothole technology, applied in the field of image recognition, to improve training speed, realize real-time detection, and reduce weight
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[0058] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0059] The present invention is a pothole detection method based on improved YOLOv3, such as figure 1 shown, including the following steps:
[0060] S1. Collect pothole pictures through the visual acquisition system, and obtain a pothole data set after preprocessing, and the pothole data set includes preprocessed pothole images;
[0061] S2. Building an improved YOLOv3 pothole detection network model
[0062] S2.1. Construct feature extraction network my_Darknet-101: use the Get_Feature feature extraction module to extract the edge and texture information of potholes from the pothole dataset as the initial module, and use 3 densely connected blocks Pothole_Block as the b...
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