vefocean.blogg.se - Caffe anaconda distribution

#Caffe anaconda distribution install
#Caffe anaconda distribution driver
#Caffe anaconda distribution code

# Leave commented to accept the defaults for your choice of BLAS # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. # CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \ # For CUDA < 6.0, comment the *_50 lines for compatibility. # CUDA architecture setting: going with all of them.

#Caffe anaconda distribution install

# "sudo apt-get install nvidia-cuda-toolkit" then use this instead: # On Ubuntu 14.04, if cuda tools are installed via # CUDA directory contains bin/ and lib/ directories that we need. the default for Linux is g++ and the default for OSX is clang++ # To customize your choice of compiler, uncomment and set the following. # CPU-only switch (uncomment to build without GPU support). # cuDNN acceleration switch (uncomment to build with cuDNN). # Contributions simplifying and improving our build system are welcome! Here’s my complete nfig for the hasty ones here… We’ll tackle each step in the upcoming section. Keep track of all the path variables set in the the nfig (the smallest of mistakes can lead you off track for days together). From inside the directory, execute the following commands : For all future reference, this will be called the. Download CaffeĬreate a directory where you would like to install caffe. Some of the dependencies might be skipped in the installation and would lead to problems at a later stage. Note : Go through the logs of the installation of the above dependencies (displayed on your stdout) to make sure everything installed correctly. $> brew install -build-from-source -fresh -vd boost boost-python $> brew install -build-from-source -with-python -fresh -vd protobuf $> brew install -fresh -vd snappy leveldb gflags glog szip lmdb homebrew/science/opencv homebrew/science/hdf5

Install snappy, leveldb, gflags, glog, szip, lmdb, hdf5 and opencv.

We will need to edit the OpenCV installation file a bit.

#Caffe anaconda distribution driver

Install latest standalone CUDA driver from here (apparently, one included in CUDA Toolkit is outdated).

This package manager would be of great use throughout the installation tasks. The script explains what it will do and then pauses before it does it.

Paste the following in a terminal prompt.

Finally, test it, import it successfully, and the installation is complete.Install Dependencies Install Homebrew Package Manager

Solution: Use the command pip install opencv_python to install opencvĤ. Question 2: I forgot to record at any time, probably ImportError: cannot import name 'rgb2gray' Refer to the blog: Importerror: Cannot Import Name '_validate_lengths' Solution

#Caffe anaconda distribution code

The solution: modify the source code of arraycrop.py ImportError: cannot import name '_validate_lengths'

Two problems were encountered during the process: conda install -c defaults caffe-gpu, install caffe-gpu After the Caffe environment is created successfully, enter the command: source activate caffe-fzp, enter the virtual environment, then install Caffe in the first blog step to see if it works now. During the installation process, I saw another blog (installation tutorial: using Anaconda to create a caffe and tensorflow coexistence environment:) Said that using anaconda and then installing caffe under the premise that tensorflow has been installed, the import will fail.ģ. Then it pops up and needs to be installedĢ. First create a virtual environment: (see blog: Anaconda installs caffe (super simple), Anaconda installs caffe (super simple)）Ĭonda create -n caffe-fzp python=3.5.4 -c defaults Tensorflow has been installed before, recording the Caffe installation process:ġ.