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CNN Photo Horizon Correction Method based on convolutional neural network and residual network structure
CNN Photo Horizon Correction Method based on convolutional neural network and residual network structure
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机译:基于卷积神经网络和残差网络结构的CNN视界校正方法
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摘要
The present invention relates to a method of leveling a tilted image by measuring and using the inclination of the image when the tilted image is inputted. The method includes: a step (a) of generating a learning data set for learning an angle measurement network in accordance with a residual network structure including first and second pulling layers and an angle prediction part; a step (b) of learning an optimal parameter of the angle measurement network; and a step (c) of rotating the image and cropping an empty pixel area.
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