确认tensorrt_include_dir环境变量是否设置: 检查你的环境变量中是否设置了tensorrt_include_dir。这通常在你的shell配置文件中设置,例如~/.bashrc或~/.zshrc。 你可以使用以下命令来查看环境变量: bash echo $tensorrt_include_dir 如果未设置,根据TensorRT的安装目录设置tensorrt_include_dir环境变量: 假设你找到了...
MESSAGE(STATUS "Found TensorRT headers at ${TENSORRT_INCLUDE_DIR}") find_library(TENSORRT_LIBRARY_INFER nvinfer HINTS ${TENSORRT_ROOT} ${TENSORRT_BUILD} ${CUDA_TOOLKIT_ROOT_DIR} PATH_SUFFIXES lib lib64 lib/x64) find_library(TENSORRT_LIBRARY_INFER_PLUGIN nvinfer_plugin HINTS ${TENSORRT_ROOT} ...
{INCLUDE_DIR}/*.cpp" yolov5_runtime.cpp) # 创建一个名为 ctrt 的可执行文件,并指定要编译的源文件和头文件 add_executable(${PROJECT_NAME} ${SOURCES} ${HEADERS}) # 链接库文件到可执行文件 ctrt 中,确保链接 TensorRT 和 CUDA 库 target_link_libraries(${PROJECT_NAME} nvinfer # TensorRT 主库...
将TensorRT的include目录下的头文件复制到CUDAv11.4的include下。 将TensorRT的lib目录下的dll文件复制到CUDAv11.4的bin目录下。 将TensorRT的lib目录下的lib文件复制到CUDAv11.4的lib目录下。 Python版本是3.8,CUDA是11.4的版本。 安装PyCUDA安装包,在 https://www.lfd.uci.edu/~gohlke/pythonlibs/#pycuda上找到对...
将TensorRT-8.5.2.2\include 中头文件 copy 到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\include; 将TensorRT-8.5.2.2\lib 中所有lib文件 copy 到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\lib\x64; 将TensorRT-8.5.2.2\lib 中所有dll文件copy 到C:\Program Files\NVIDIA GP...
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2 1. 2. 3. 4. 5. 6. 7. 8. 从Dockerfile创建用于编译的镜像 docker build -f docker/ubuntu.Dockerfile --build-arg UBUNTU_VERSION=16.04 --build-arg CUDA_VERSION=10.0 --tag=tensorrt-ubuntu . ...
includedir=${prefix}/include libdir=${exec_prefix}/lib Name: opencv Description: The opencv library Version:4.1.2 Cflags: -I${includedir}/opencv4 Libs: -L${libdir} -lopencv_shape -lopencv_stitching -lopencv_objdetect -lopencv_superres -lopencv_videostab -lopencv_calib3d -lopencv_feature...
# if running bashif[ -n"$BASH_VERSION"];then# include .bashrc if it existsif[ -f"$HOME/.bashrc"];then."$HOME/.bashrc"fifi# set PATH so it includes user's private bin directoriesPATH="$HOME/bin:$HOME/.local/bin:$PATH" 为了避免interactive login shell 和 interactive non-login shell...
<fstream>#include<iomanip>#include<iostream>#include<sstream>#include<sys/stat.h>#include<time.h>#include<opencv2/opencv.hpp>#include"NvInfer.h"#include"NvOnnxParser.h"#include"argsParser.h"#include"logger.h"#include"common.h"#include"image.hpp"...
(TENSORRT_INCLUDE_DIR NvInfer.h HINTS ${TENSORRT_ROOT} PATH_SUFFIXES include/) message(STATUS "Found TensorRT headers at ${TENSORRT_INCLUDE_DIR}") find_library(TENSORRT_LIBRARY_INFER nvinfer HINTS ${TENSORRT_ROOT} ${TENSORRT_BUILD} ${CUDA_TOOLKIT_ROOT_DIR} PATH_SUFFIXES lib lib64 lib/x64)...