Transformer substation picture bird nest detection method combining ResNet50 + FPN + DCN
A detection method and substation technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve problems such as hidden safety hazards, time-consuming and labor-consuming, and achieve high accuracy, improve detection results, and good robustness Effect
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[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0040] The embodiment and implementation process thereof implemented according to the complete method of the content of the present invention are as follows:
[0041] First of all, build the substation bird's nest image library, the typical picture of the picture is as follows figure 1 shown. Second, establish labels corresponding to the image dataset. The label file meets the xml label file standard in Pascal VOC format, and the content includes the image name, image path, image height and width, and the coordinate values of the upper left vertex and lower right vertex of the real target frame.
[0042] Establish a deep learning network model, and build a deep learning target detection network based on the ResNet50 framework + FPN + DCN and Faster RCNN target detection algorithm.
[0043] The network structure of the Faster R-CN...
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