yolov8 aps

根据引用的信息，要计算YOLOv8的APS（Average Precision Small）指标，需要下载安装pycocotools工具包，并运行它来导入数据并计算结果。同时需要注意，默认情况下计算的是IoU为0.50:0.95的结果，如果要更改为IoU为0.50:0.5，需要下载pycocotools的源码进行修改。由于没有提供具体的结果数据，无法给出YOLOv8的APS指标值。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [YoloV8改进策略：SPD-Conv加入到YoloV8中，让小目标无处遁形](https://blog.csdn.net/m0_47867638/article/details/132528482)[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* [yolov8计算iou=0.5下的APs、APm、APl](https://blog.csdn.net/nyj_ouc/article/details/130890037)[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%"]
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