我试图在Jetson上使用dlib (GPU),下面是安装dlib-19.19的步骤
dowload dlib repo from repo: https://github.com/davisking/dlib
cd dlib-19.19
mkdir build
cd build/
cmake .. -DDLIB_USE_CUDA=1
收到消息
-- Found CUDA: /usr/local/cuda (found suitable version "10.2", minimum required is "7.5")
-- Looking for cuDN
尝试安装带有GPU支持的dlib。使用tf图像
FROM tensorflow/tensorflow:latest-gpu-py3
安装cudnn
COPY cudnn-9.0-linux-x64-v7.1.tgz ./
RUN tar -zxvf cudnn-9.0-linux-x64-v7.1.tgz
RUN cp -P cuda/include/cudnn.h /usr/local/cuda/include
RUN cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64
RUN chmod a+r /usr/local/cuda/include/
我正在创建程序来模糊人们的脸在视频中,我想使用作为人脸识别的基础,因为它有很好的结果和相当简单的使用。但问题是--处理单个图像需要大约75秒钟,这是相当长的时间。dlib库是在未启用cuda的情况下编写的。我的GPU是nvidia geforce gtx 560 ti -它有cuda支持,但不是cudnn支持,而且只要清醒,没有这两个库,就不可能用cude支持编译dlib。那么,由于我不能在本地使用GPU加速,有没有办法提高程序的速度?我对OpenMP有一些经验,但我不知道是否可以在这里使用,因为在示例中最长的部分--这一行
auto dets = net(img);
这是我在项目中的文件树
该错误如下所示
Ld /Users/chanwoo/Library/Developer/Xcode/DerivedData/face-recog-test9-fauksbwwzfttmcdxrlvcyghtcloj/Build/Products/Release-iphoneos/face-recog-test9.app/face-recog-test9 normal arm64 (in target 'face-recog-test9' from project 'face-recog-test9')
cd /Users
运行ubuntu12.04,我下载了源代码并按指示编译了它(参见)。下面是显示的错误消息。
cmake --build . --config Release
[ 1%] Building CXX object dlib_build/CMakeFiles/dlib.dir/bsp/bsp.cpp.o
In file included from /home/andreif/downlib/dlib-19.2/dlib/bsp/../sockets/../threads/parallel_for_extension.h:9:0,
from /home/my_path/dlib-19.2/dlib/b
我正在尝试安装dlib python模块,但是每次我试图导入它时,我都会得到一个分段错误,python就会像这样崩溃。
└[~/Devspace/dlib]> python
Python 2.7.10 (default, Sep 23 2015, 04:34:21)
[GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.72)] on darwin
Type "help", "copyright", "credits" or "license" for more info
我已经在我的ubuntu 20.04 macbook pro 3,1上安装了python 3.6和默认的python 3.8 $ sudo make altinstall 我试图用pip为一个虚拟的3.6环境构建dlib,但它找不到头文件Python.h (参见下面的代码片段)。 $ pip install dlib
Collecting dlib
Using cached dlib-19.20.0.tar.gz (3.2 MB)
Building wheels for collected packages: dlib
Building wheel for dlib (setup.
我正试图在(Ubuntu18.04(仿生海狸))上安装dlib,但它正在抛出一个错误。
CMake错误:
The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_LIBRARY (ADVANCED)
linked by target "dlib" in directory /content
我是c++的新手,如果我错过了一个明显的解决方案,我很抱歉。我试图在中运行c++中的dlib示例代码。我知道这个错误..。
In file included from /Users/john/ClionProjects/dlib/examples/face_detection_ex.cpp:41:
In file included from /Users/john/ClionProjects/dlib/dlib/../dlib/gui_widgets.h:13:
In file included from /Users/john/ClionProjects/dlib/dlib/../dlib/
我正在尝试将dlib导入到文件中以检测faces。我遵循了达维斯金的github回购指令。
因此,当我尝试运行python setup.py install --no USE_SSE4_INSTRUCTIONS时,会出现以下错误
In file included from /Users/karishmaasthana/workspace/dlib/dlib/gui_widgets/fonts.cpp:16:
/Users/karishmaasthana/workspace/dlib/dlib/gui_widgets/nativefont.h:313:21: error: use of unde
我正试着和yocto交叉编译一个应用程序。应用程序使用Dlib库,因此我必须为Dlib制定一个配方。食谱应该是什么样的呢?@R.Gopi
当我试图从@error 555构建dlib食谱时,我会得到以下错误:
ERROR: dlib-1.0+gitAUTOINC+3b794540ba-r0 do_package: QA Issue: dlib: Files/directories were installed but not shipped in any package:
/usr/lib/cmake
/usr/lib/cmake/dlib
/usr/lib/cmake/dlib/d