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BOUNDARY BOX DETERMINING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

机译:边界盒确定方法和装置,电子设备和存储介质

摘要

A boundary box determining method and apparatus, an electronic device, and a storage medium, relating to the technical field of image processing. The boundary box determining method comprises: inputting an image to be detected into a first convolutional neural sub network, and obtaining the first feature of a target object in the image to be detected (S11), wherein the first feature comprises the boundary image feature of the target object in the image to be detected; separately inputting the first feature into n second neural sub networks to obtain the n first boundary boxes of the target object (S12), wherein n is an integer greater than or equal to 2, and each first boundary box comprises a first location parameter value; and based on each first location parameter value of the n first boundary boxes, determining the target boundary box of the target object in the image to be detected (S13). By means of the method, the present invention can improve the robustness of determining the boundary box of the target object, effectively avoids overfitting, and can improve the accuracy of the boundary box of the target object.
机译:与图像处理技术领域有关的边界盒确定方法和装置,电子设备和存储介质。边界框确定方法包括:将待检测图像输入到第一卷积神经子网中,并在待检测图像中获得目标物体的第一特征(S11),其中,所述第一特征包括:待检测图像中的目标物体;将第一特征分别输入到n个第二神经子网络中,得到目标对象的n个第一边界框(S12),其中,n是大于或等于2的整数,每个第一边界框包括第一位置参数值;根据n个第一边界框的每个第一位置参数值,确定待检测图像中目标物体的目标边界框(S13)。通过本发明,可以提高确定目标物体边界盒的鲁棒性,有效避免过拟合,提高目标物体边界盒的精度。

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