Mixed cartoon image detection method based on deep learning

The invention discloses a mixed cartoon image detection method based on deep learning, and the method comprises the steps: firstly preparing a picture sample, preparing various types of images, and defining five classification tag cards to respectively correspond to different numerical values; divid...

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Bibliographic Details
Main Authors CHEN GENGSHENG, ZHENG XINGTAO, ZHENG YAN
Format Patent
LanguageChinese
English
Published 24.08.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses a mixed cartoon image detection method based on deep learning, and the method comprises the steps: firstly preparing a picture sample, preparing various types of images, and defining five classification tag cards to respectively correspond to different numerical values; dividing the samples into a training set and a test set according to the proportion, then zooming pictures to the size of AxB, and converting the pictures into a matrix of AxBx3; converting corresponding labels into one-hot coding forms, converting a matrix into a multi-dimensional vector through a feature extraction layer, and then connecting the multi-dimensional vector with a full connection layer of a 256 hidden layer and a Dropout layer; connecting a full connection layer of five output neurons, using softmax as an activation function, using cross entropy as a target loss function, carrying out loss optimization through an adam optimizer, and then obtaining an optimal model; and inputting a to-be-detected image int
Bibliography:Application Number: CN202110601966