Ubuntu 18.04 Python 2.7 我的问题是我无法在python中导入caffe模块,即使我已经安装了它。我认为这是一个路径/环境变量问题。 rivaldo4t@Rivaldo-OS3:~$ python
Python 2.7.15rc1 (default, Nov 12 2018, 14:31:15)
[GCC 7.3.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>>
我使用"conda install caffe“安装了caffe,但当我在终端中输入"import caffe”时,出现了以下错误:
Python 2.7.14 |Anaconda custom (64-bit)| (default, Oct 16 2017, 17:29:19)
[GCC 7.2.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
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我正在尝试在ubuntu17.10上安装
然而,当我执行make all时,我得到了以下错误:
./include/caffe/common.hpp(84): error: namespace "std" has no member "isnan"
./include/caffe/common.hpp(85): error: namespace "std" has no member "isinf"
2 errors detected in the compilation of "/tmp/tmpxft_0000492
我想在ubuntu上安装caffe,我已经安装了cudnn/cuda/anaconda/openCV。但是当我在caffe-master文件夹下make all -j4时,它显示
/usr/lib/x86_64-linux-gnu/libunwind.so.8: undefined reference to lzma_index_buffer_decode@XZ_5.0
/usr/lib/x86_64-linux-gnu/libunwind.so.8: undefined reference to lzma_index_size@XZ_5.0
/usr/lib/x86_64-linux-g
我正在尝试安装这个https://github.com/NVlabs/ssn_超像素,但是在步骤cmake ..中得到了下面的错误
CMake Error: 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 "c
我正在尝试安装这个https://github.com/NVlabs/ssn_超像素,但是下面有错误。
CMake Error: 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 "caffe" in d
我已经把cudnn和cuda安装在ubuntu里了,我
使所有的-j4
在caffe目录下,它通过得很好。但当我
做试验
它显示:
CXX src/caffe/test/test_im2col_layer.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
from ./include/caffe/common.hpp:19,
from ./include/caffe/blob.hpp:8,
我正在使用boost 1.66在Ubuntu17.04系统上安装caffe。我能够毫无问题地执行make all和make test:
me@icvr1:~/PackageDownloads/caffe$ make all
make: Nothing to be done for 'all'.
me@icvr1:~/PackageDownloads/caffe$ make test
make: Nothing to be done for 'test'.
然而,当我尝试make runtest时,我会得到以下错误:
me@icvr1:~/PackageDownl
我以非管理员身份开始在Linux上使用Caffe框架,Caffe是在我的帐户上安装的。我转到usr/local/caffe路径并开始运行./create_cifar10.sh.But的cifar10示例,我得到了这个错误:
./create_cifar10.sh: 12: ./create_cifar10.sh: ./build/examples/cifar10/convert_cifar_data.bin: not found
我已经检查了构建目录,那里有一个名为convert_cifar_data.bin的文件。我该怎么解决它呢?
我正在尝试安装Caffe,但我遇到了这个令人沮丧的错误。当我运行make时,我得到以下结果:
CXX .build_release/src/caffe/proto/caffe.pb.cc
In file included from .build_release/src/caffe/proto/caffe.pb.cc:5:0:
.build_release/src/caffe/proto/caffe.pb.h:9:42: fatal error: google/protobuf/stubs/common.h: No such file or directory
compilation termi
我用的指令尝试了caffe安装,ubuntu安装命令sudo apt install caffe-cuda在错误的情况下根本无法工作。
Package caffe-cuda is not available, but is referred to by another package.
This may mean that the package is missing, has been obsoleted, or
is only available from another source
E: Package 'caffe-cuda' has no installation
我正在尝试让caffe的自定义版本()在我的一些实验中工作。当我在所需的文件中进行这些更改并在caffe根目录中执行make all时,我得到了以下结果:
ubuntu@ip-172-31-18-244:~/caffe$ make all -j4
LD -o .build_release/lib/libcaffe.so.1.0.0-rc3
/usr/bin/ld: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.a(H5LT.o): relocation R_X86_64_32S against `.text' can not be
我已经在我的linux机器上安装了anaconda3和cuda9(准确地说是aws),当我按照官方文档检查caffe2安装时,它会显示成功消息,但当我使用以下脚本python2 -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())'检查GPU时,我会看到以下结果Logging before InitGoogleLogging() is written to STDERR E0729 20:58:01.995159 2016 common_gpu.cc:42] Found an un
我已经安装了Cuda 7.5,现在我已经安装了Cuda 8.0。Nvidia卡为TITAN X (Pascal). I also only activated the following compute abilitiesCUDA_ARCHfield inmakefile.config` (其余部分已注释):
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
我可以成功地运行make all和make test来
我成功地在Linux上安装了Caffe。然后我没能让它和Matlab一起工作。因此,我按照教程使用Python安装了它。但是,在运行命令"python python/classify.py --print_results examples/images/cat.jpg foo"之前,我从未使用过Python,而且它可以工作。
我的问题是如何测试calssify.py的集合映像,而不是单个图像?我试图从测试目录中读取图像,如下所示
cd caffe
Python
Import os
For file in os.listdir(“example/images”):
py
我正在Ubuntu18.04LTS版本上安装caffe和anaconda。
无论如何,我成功地在我的系统上安装了Anaconda,但是我在安装caffe时遇到了麻烦。
我发现许多网页,如youtube,但这是没有帮助的,所以我读了很多次官方安装手册页面。在这页里,
Installing Caffe from source
We may install the dependencies by merely one line
sudo apt build-dep caffe-cpu # dependencies for CPU-only version
sudo apt build
在带有Red的SLURM集群上安装caffe时,我收到以下错误: compilation terminated.
make: *** [.build_release/cuda/src/caffe/layers/clip_layer.o] Error 1
In file included from ./include/caffe/blob.hpp:8:0,
from ./include/caffe/layers/concat_layer.hpp:6,
from src/caffe/layers/concat_layer.cu:
当我试图在我的RHEL机器上编译caffe时,我有这样的错误:我确实遵循了这个链接的说明:,但它看起来不工作。有什么帮助吗?谢谢
$make all
CXX src/caffe/data_transformer.cpp
src/caffe/data_transformer.cpp:1:33: warning: opencv2/core/core.hpp: No such file or directory
src/caffe/data_transformer.cpp: In member function ‘void caffe::DataTransformer<Dtype>::T