首页> 外国专利> CONVOLUTIONAL NEURAL NETWORK-BASED IMAGE PROCESSING METHOD AND DEVICE, AND UNMANNED AERIAL VEHICLE

CONVOLUTIONAL NEURAL NETWORK-BASED IMAGE PROCESSING METHOD AND DEVICE, AND UNMANNED AERIAL VEHICLE

机译:基于卷积神经网络的图像处理方法和设备,无人驾驶飞行器

摘要

Convolutional neural network-based image processing method and device are provided. The device includes a first on-chip memory and an arithmetic circuit configured to read a 3D feature map from a first on-chip memory by blocks the 3D feature map being divided into L blocks, perform processing of the current layer of the convolutional neural network on the 3D feature map by blocks; and store an output result of the current layer to the first on-chip memory. The first on-chip memory includes: S first storage spaces, each being used to store one of the L blocks included in the 3D feature map as input data of the current layer; and R second storage spaces, each being used to store output data of the current layer of one of the L blocks. L, S and R are integers greater than 1, and S and R are less than L.
机译:提供了基于卷积神经网络的图像处理方法和装置。该设备包括第一片上存储器和算术电路,该算术电路被配置为通过块将3D特征映射划分为L块的3D特征映射读取3D特征映射,执行卷积神经网络的当前层的处理在3D特征映射下由块映射;并将当前层的输出结果存储到第一片内存。第一片上存储器包括:第一个存储空间,每个存储空间用于将包括在3D特征映射中的L块中的一个存储为当前层的输入数据;和R第二存储空间,每个存储空间用于存储L块之一的当前层的输出数据。 L,S和R是大于1的整数,S和R小于L.

著录项

  • 公开/公告号US2021192246A1

    专利类型

  • 公开/公告日2021-06-24

    原文格式PDF

  • 申请/专利权人 SZ DJI TECHNOLOGY CO. LTD.;

    申请/专利号US202117190378

  • 发明设计人 KANG YANG;MINGMING GAO;QIAN GU;

    申请日2021-03-02

  • 分类号G06K9;G06N3/04;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 19:31:25

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