yolov7测试视频命令

您可以使用以下命令进行YOLOv7的视频测试：

darknet detector demo cfg/coco.data cfg/yolov7.cfg yolov7.weights ./data/test.mp4

其中，`cfg/coco.data`是数据集配置文件的路径，`cfg/yolov7.cfg`是YOLOv7的配置文件路径，`yolov7.weights`是预训练模型的权重文件路径，`./data/test.mp4`是测试视频的路径。请确保这些文件的路径与实际存储的位置一致。

这个命令将在命令行控制界面中运行YOLOv7算法来检测和跟踪测试视频中的目标物体。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [yolov7目标检测：基于自定义数据集完成检测、训练、测试](https://blog.csdn.net/shinuone/article/details/129171746)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [yolov4安装部署并测试图片及视频数据](https://blog.csdn.net/weixin_44229011/article/details/106367862)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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