CUDA_SDK_ROOT_DIR-NOTFOUND 是一个常见的 CMake 错误,通常发生在配置需要 CUDA SDK 的项目时,但 CMake 无法找到 CUDA SDK 的安装目录。下面我将根据提供的 tips 分点回答你的问题: 1. 确认 cuda_sdk_root_dir 的含义和用途 CUDA_SDK_ROOT_DIR 是一个环境变量或 CMake 变量,用于指定 CUDA SDK(软件开发...
然后是关键点在CUDA_SDK_ROOT_DIR,我当时显示的是can not found sdk root dir,你要修改成你CUDA安装的SDK目录,比如我装的CUDA8.0下的Samples就是原先的SDK文件夹,只要指定Samples目录即可 下面的CUDA是必选的。 下是一级红框是CUDA需要的库文件,二级红圈是显示编译无法找到库文件的错误,三级红框是CUDA图形处理...
1> [CMake] -- IDS-Imaging Ensenso camera support: not building because Ensenso not found 1> [CMake] -- Could NOT find davidSDK (missing: DAVIDSDK_LIBRARY DAVIDSDK_INCLUDE_DIR) 1> [CMake] -- David Vision Systems SDK support: not building because davidSDK not found 1> [CMake] -- ...
1.需要在英伟达官网把需要的组件下载下来(https://developer.nvidia.com/nvidia-video-codec-sdk#Download),当前最新为9.1版本 2.解压缩之后把 Video_Codec_SDK_9.1.23/include/ 下面的cuviddec.h 和 nvcuvid.h文件拷贝到/usr/include下面就好了 3.继续后续操作即可 2.5参考 https://blog.csdn.net/BigData_Min...
这里手动到github页面(https://github.com/opencv/ade/releases)下载到本地,然后在opencv根目录/modules/gapi/cmake/DownloadADE.cmake里更改ADE_root为本地路径。具体如图: 四、 fatal error: nvcuvid.h: No such file or directory 这个头文件在cuda10 以后就被弃了,所以即使装完CUDA也缺失。
return { "environments": [root_env] + [get_info(env) for env in info['envs'] if env != root_env['dir']] } 然后重启jupyter就可以了。 可以切换 kernel 附加:虚拟环境 常见命令: # 安装ipykernel conda install ipykernel # 使用conda创建虚拟环境 conda create -n your_env_name(你自定义的...
我目前使用的是cuda4.2版,但我需要将其更改为3.1版。是否可以卸载当前版本(4.2版),然后安装以前的版本(3.1版)?编辑:请参考我的操作系统是linuxubuntu 10.04 64位。编辑:我通过请求将cuda3.1下载到了nvidia,然后安装了工具包和SDK。当安装cuda3.1工具包时,会出现卸载当前版本的问题。对于SDK,我们可以直接删除~/NV ...
applications on Microsoft platforms. For Microsoft platforms, NVIDIA's CUDA Driver supports DirectX. Several CUDA Samples for Windows demonstrates CUDA-DirectX Interoperability, for building such samples one needs to install Microsoft Visual Studio 2012 or higher which provides Microsoft Windows SDK for ...
Removed DirectX SDK (June 2010 or newer) installation requirement, all the DirectX-CUDA samples now use DirectX from Windows SDK shipped with Microsoft Visual Studio 2012 or higher 1.10. CUDA 10.1 Update 1 Added 3_Imaging/NV12toBGRandResize. Demonstrates how to convert and resize NV12 frames to...
The CUDA Samples package on SLES does not include dependencies on GL and X11 libraries as these are provided in the SLES SDK. These packages must be installed separately, depending on which samples you want to use. Perform the post-installation actions. 3.6. OpenSUSE Perform the pre-installati...