yolov8 测试文件

可以使用yolov8训练好的权重文件直接测试。如果你使用的是自己训练的模型，那么就不需要这个文件。你可以进入目录ultyralytics/yolo/v8/detect，执行predict.py文件进行一个简单的测试。该文件会根据权重文件对图像进行目标检测，并输出测试结果。具体的测试效果可以参考引用[2]中的描述。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [yolov5s.pt yolov5 权重文件, 网速慢的可用](https://download.csdn.net/download/phker/12541139)[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_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [yolov8 复现及测试记录](https://blog.csdn.net/weixin_45994963/article/details/128645317)[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_1"}}] [.reference_item style="max-width: 50%"]
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