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IMAGE AUGMENTATION AND NEURAL NETWORK TRAINING METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM

机译:图像增强和神经网络训练方法及装置,装置和存储介质

摘要

Disclosed in embodiments of the present application are an image augmentation and neural network training method and apparatus, a device, and a storage medium, the method comprising: acquiring a three-dimensional image carrying a target object marked with set key points, wherein the three-dimensional image is obtained by reconstructing two-dimensional images of the target object; acquiring a defective two-dimensional image corresponding to a projection after the three-dimensional image is rotated by a set angle, the defective two-dimensional image comprising converted coordinates of the set key points of the target object corresponding to the set angle; performing feature extraction on the defective two-dimensional image on the basis of a trained neural network, and repairing the defective two-dimensional image on the basis of a correspondence between the converted coordinates of the set key points and the attitude so as to obtain a repaired image corresponding to the defective two-dimensional image; and obtaining an augmented image set of the target object on the basis of the repaired image.
机译:本申请实施例公开了一种图像增强和神经网络训练方法及装置,装置和存储介质,所述方法包括:获取携带标有设定关键点的目标物体的三维图像,其中,所述三个通过重建目标物体的二维图像获得三维图像。在三维图像旋转设定角度后,获取与投影相对应的缺陷二维图像,所述缺陷二维图像包括目标物体的设定关键点的对应于所述设定角度的转换坐标;在经过训练的神经网络的基础上对缺陷二维图像进行特征提取,并根据设定的关键点的转换坐标与姿态之间的对应关系对缺陷二维图像进行修复,从而得到与缺陷二维图像相对应的修复图像;并基于修复后的图像获得目标对象的增强图像集。

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