Pig house pig counting method based on weak supervision
CN117315713BActive Publication Date: 2026-08-28SOUTH CHINA UNIV OF TECH
Patent Information
- Application Number
- CN202311121510.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-31
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2043-08-31
AI Technical Summary
Technical Problem
[0003]本发明的目的在于克服现有计数的缺点：基于深度学习的目标检测或实例分割算法在面对猪只拥挤和遮挡情况下的准确率低以及数据标注成本高的问题，提出了一种基于弱监督的猪舍猪只计数方法，不再依赖前景分割和人工特征提取，直接对图像中的猪只数量进行监督，可有效预测高密度的猪群图像，可准确统计目标猪舍内的猪只数量，提高了计数准确率和效率，促进养猪业向更加智能化、自动化的方向转变
Benefits of technology
[0023]1、本发明的特征编码模块是基于Swin Transformer模块来构建，在线性嵌入的部分使用可变形卷积来自适应的学习图像块的特征，提高了灵活性；窗口化的自注意力机制使其可以有效地捕捉图像中的上下文信息，并且具有较强的泛化能力；在网络添加Deformable Block结构带来的可变形参数可以自适应地调整感受野。
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Smart Images
Figure CN117315713B_ABST
Abstract
The application discloses a pig house pig counting method based on weak supervision, including collecting pig house internal images and transmitting to a cloud server, and pre-processing obtained image data; a feature coding module is used to extract features of input images; a feature decoding module fuses feature maps output by each level to enhance feature extraction capability; a feature prediction module reduces dimension of the fused feature maps to obtain accurate pig population quantity. The application solves the problems of low accuracy and high data labeling cost of target detection or instance segmentation algorithm based on deep learning when facing pig crowding and shielding, realizes high-precision pig counting, has important application value in pig breeding and pig population counting fields, and is expected to solve many problems in the prior art. Therefore, the application has wide application prospect in practical application.
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Citation Information
Patent Citations
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