TensorRT系列之 Windows10下yolov8 tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/128865904)TensorRT系列教程之 Linux下 yolov8 tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/128758544TensorRT系列教程之 Linux下 yolov7 tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/128759430TensorRT系列教程之 Linux下 yolov6 tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/133771238TensorRT系列教程之 Linux下 yolov5 tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/133773842TensorRT系列教程之 Linux下 yolox tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/133851320TensorRT系列教程之 Linux下 u2net tensorrt模型加速部署https://blog.csdn.net/m0_72734364/article/details/133887663?spm1001.2014.3001.5501更多https://blog.csdn.net/m0_72734364/article/details/133901479?spm1001.2014.3001.5501测试信息测试平台linuxdocker硬件NVIDIA 3070模型输入batchx3x640x640测试设置batch为8测试模型yolov8nyolov8syolov8n更多模型测试可以去网盘下载文件分享测试仓库yolov8相关tensrrtcuda部署代码在仓库TensorRT-Alpha:GitHub - FeiYull/TensorRT-Alpha at legacy · GitHub测试结果速览测试指令# yolov8n ./app_yolov8 --model../../data/yolov8/yolov8n.trt --size640 --batch_size8 --video../../data/face-demographics-walking-and-pause.mp4 --show # yolov8s ./app_yolov8 --model../../data/yolov8/yolov8s.trt --size640 --batch_size8 --video../../data/face-demographics-walking-and-pause.mp4 --show # yolov8m ./app_yolov8 --model../../data/yolov8/yolov8m.trt --size640 --batch_size8 --video../../data/face-demographics-walking-and-pause.mp4 --show需要注意下图中preprocess包含图像预处理例如resize, padding等。postprocess包含decode和NMS下面测试结果速览仅供参考yolov8nyolov8s:yolov8m:yolov8l yolov8x可以自己去仓库玩耍一下。更新计划“Win10环境下yolov8的模型部署运行教程”