51CTO-YOLOv5(PyTorch)目标检测实战：TensorRT加速部署

• file:3-4.测试TensorRT.mp4
• file:3-7.生成yolov5s.wts文件.mp4
• file:2-3.TensorRT INT8量化.mp4
• file:4-2.安装yolov5.mp4
• file:2-1.YOLOv5网络架构与组件.mp4
• file:2-4.tensorrtx介绍.mp4
• file:5-5.yololayer.h代码解析.mp4
• file:6-1.YOLOv5 6.0更新.mp4
• file:5-1.utils代码解析.mp4
• file:2-2.TensorRT基础.mp4
• file:4-1.安装环境.mp4
• file:5-4.calibrator代码解析.mp4
• file:4-6.修改cmakelist文件.mp4
• file:4-8.执行TensorRT加速后的命令.mp4
• file:5-7.common.hpp代码解析.mp4
• file:5-9.yolov5_ trt.py代码解析.mp4
• file:5-3.logging代码解析.mp4
• file:3-8.编译tensorrtx下的yolov5.mp4
• file:5-2.gen_ wts.py代码解析.mp4
• file:1-1.课程介绍.mp4
• file:3-1.安装PyTorch.mp4
• file:3-5.安装opencv.mp4
• file:原理篇4-CUDA编程方法-01.pdf
• file:原理篇1-YOLOv5网络架构-01.pdf
• file:课程介绍-yolov5-tensorrt-01.pdf
• file:原理篇3-INT8量化原理-01.pdf
• file:原理篇2-TensorRT基础-01.pdf
• file:实践篇-Ubuntu系统yolov5-tensorrt部署-01.pdf
• folder:51CTO-YOLOv5(PyTorch)目标检测实战：TensorRT加速部署
• folder:课件资料