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System for evaluating an image, operation assistance method and control unit for a working device and working device

机译:用于评估图像的系统,操作辅助方法以及用于工作装置的控制单元和工作装置

摘要

The invention relates to a system (100, S) for evaluating and / or adapting an image (i) recorded with a camera (10), on which an in-depth neural network (20) is or is based, the in-depth neural network (20) undergoes training (S1), the training (S1) of the deep neural network (20) is or will be carried out on the basis of a loss function as a metric, the loss function is based on an index (SSIM) of structural similarity and the Index (SSIM) of structural similarity in training (S1) on the basis of at least one input image (i) of the underlying camera (10), an output image (o) of the deep neural network (20) and in particular an adaptation process by the deep neural network (20) and a target image (t) is or will be determined as a default.
机译:本发明涉及一种用于评估和/或调整用照相机(10)记录的图像(i)的系统(100,S),该深度(或深度)神经网络(20)基于该系统(100),神经网络(20)进行训练(S1),深度神经网络(20)的训练(S1)是或将基于损失函数作为度量进行,损失函数基于索引(基于基础相机(10)的至少一个输入图像(i),深层神经网络的输出图像(o)进行结构相似性训练(SSIM)和结构相似性指数(S1)训练(S1) (20),特别是将深度神经网络(20)和目标图像(t)的适应过程确定为默认值或将确定为默认值。

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