yolov8 model.track

yolov8是一种目标检测模型，而model.track是yolov8模型中的一个方法。该方法用于在给定的视频源上进行目标跟踪，并可选择保存结果。在使用这个方法之前，需要先实例化一个YOLO对象，然后调用该对象的track方法，并传入视频源和跟踪器配置等参数。具体的代码示例可以参考引用[3]中的代码片段。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [YOLOv8—运行mode=track报错 ERROR: subprocess-exited-with-error与 ERROR: Failed building wheel for ...](https://blog.csdn.net/qq_46390120/article/details/130164569)[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%"]
- *2* *3* [基于yolov8目标跟踪+数量统计（源码）](https://blog.csdn.net/m0_52997190/article/details/130281656)[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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