yolov8测fps
时间: 2023-09-11 17:04:48 浏览: 310
yolov8模型测试FPS结果1
YOLOv8在利用OpenVINO™的量化和加速的情况下,可以获得1000 FPS的性能,这意味着每秒可以处理1000个图像。 这是通过利用英特尔®CPU、集成显卡以及独立显卡与同一代码库无缝协作实现的。你可以按照我们提供的代码和步骤,使用OpenVINO™在英特尔®处理器上优化和加速YOLOv8的性能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [优化+量化,让你的YOLOv8获得1000+ FPS性能](https://blog.csdn.net/m0_59448707/article/details/129616678)[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%"]
- *3* [【对YOLOv8(ultralytics)打印测试结果的调整】(1)使得map值打印显示从0.551变为55.08 (2)打印出FPS](https://blog.csdn.net/LWD19981223/article/details/129993747)[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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