deepsort网络结构图
时间: 2023-09-01 13:07:03 浏览: 53
deepsort网络结构图如图1所示,在deep_sort_pytorch/deep_sort/deep/model.py中的Net类中定义。该结构包括一个Extractor和一个ReID模型。Extractor从跟踪图像中提取分类特征,而ReID模型定义了用于重识别的网络。在训练时,reid参数为False,输入图像经过分类网络产生对比的分类特征。在跟踪时,reid参数为True,输入图像的分类特征直接返回而不经过分类网络。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [deepsort训练车辆特征参数](https://blog.csdn.net/weixin_44238733/article/details/120590476)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [deepsort:使用递归神经网络排序](https://download.csdn.net/download/weixin_42181319/18312263)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]