Building wood crack identification method based on convolutional neural network
The invention is suitable for the interdisciplinary field of deep learning and civil engineering, and relates to a building wood crack recognition method based on a convolutional neural network, and the method comprises the steps: collecting a building wood crack image, and selecting a crack-contain...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
22.01.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention is suitable for the interdisciplinary field of deep learning and civil engineering, and relates to a building wood crack recognition method based on a convolutional neural network, and the method comprises the steps: collecting a building wood crack image, and selecting a crack-containing picture; marking building wood crack data sets in a classified mode, and creating and dividing abig data set and a small data set into a training set, a verification set and a test set in proportion; carrying and initializing the convolutional neural network model, and training the model basedon the big data set and the small data set; setting different hyper-parameters, introducing a verification set picture test, and searching an optimal hyper-parameter value; testing the model accordingto the obtained optimal model, outputting various detection numerical value indexes, and judging whether an expected value is reached or not; and comparing and analyzing an existing image processingmethod. The building wood cr |
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Bibliography: | Application Number: CN202011203806 |