![]() ![]() Install Boost (Ubuntu) Usually, youll want to install all available Boost libraries. The package INSTALL instructions are : Building the Module on a Unix System - The C++ wrappers require Boost.Python to be installed: sudo apt-get install boost-python1.35-dev pyvlfeat uses distutils, so to build the library: python setup.py build As I am on Windows I can't sudo apt-get, so I downloaded boost 1.57. # This was needed for the compilation of some c++ stuff export CPLUS_INCLUDE_PATH =/usr/local/Cellar/python3/3.6.4_2/Frameworks/amework/Versions/3. This package contains the Boost C++ Libraries development files. gimli -DPYTHON_EXECUTABLE =/usr/local/bin/python3 -DPYTHON_INCLUDE_DIR =/usr/local/Cellar/python3/3.6.4_2/Frameworks/amework/Versions/3.6/include/python3.6m -DPYTHON_LIBRARY =/usr/local/Cellar/python3/3.6.4_2/Frameworks/amework/Versions/3.6/lib/libpython3.6.dylib -DPY_NUMPY =/usr/local/lib/python3.6/site-packages/numpy # The version (here 3.6.4_2) needs to be set to the installed python3 versionĬmake. # install matplotlib, … using pip3 (for python3) Ive tried conda install -c anaconda boost and I get the error fatal error C1083: Cannot open include file: boost/python.hpp: No such file or directory. dylib) files needed to run software built using certain Boost. This package contains the shared library (.so or. The project emphasizes libraries that work well with the C++ Standard Library and are intended to be widely useful, and usable across a broad spectrum of applications. # install some prerequisites that are not yet installed (might be more than what is here…) Boost provides free peer-reviewed portable C++ source libraries. Since Boost.Python is a separately-compiled (as opposed to header-only) library, its user relies on the services of a Boost.Python library binary. Requirements: Visual Studio 2015 (full or community), boost (recent), CUDA 8.0, Matlab (R2012a or higher) and/or. Note: see our installing anaconda on Mac OS X tutorial if youre not on Windows. Windows, from source using Visual Studio 2015. If you arent sure which Python version you want to install, choose Python 3. ![]() #= # First install: # - Xcode (AppStore) # - XQuartz () # - homebrew () #= # Install python3 Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B). ![]()
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