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CNN Photo Horizon Correction Method based on convolutional neural network and residual network structure

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

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.
机译:本发明涉及一种在输入倾斜图像时通过测量和使用图像的倾斜度来对倾斜图像进行平整的方法。该方法包括:步骤(a),根据包括第一和第二拉动层以及角度预测部分的残余网络结构,生成用于学习角度测量网络的学习数据集;步骤(b),学习角度测量网络的最佳参数;步骤(c),旋转图像并裁剪空白像素区域。

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