Underground drainage pipeline disease segmentation method based on full convolutional neural network
A convolutional neural network and underground drainage technology, applied in the interdisciplinary field, can solve the problems of low detection accuracy and efficiency, poor robustness and generalization ability of underground drainage pipeline diseases, and achieve poor training accuracy and misjudgment and missed judgment, increase the effect of utilization
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[0035]In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The preferred embodiments of the invention are shown in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.
[0036]Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention.
[0037]Such asfigure 1 As shown, the present invention provides an underground drainage pipe...
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