I have previously installed dlib and face-recognition the same way in the same system. I managed to do it by installing from source. Everything is ok. pip install dlib So the error here is the assumption by the build process that libpython is necessary at build time. The instructions I've gotten are from here : https://github.com/pypa/python-manylinux-demo/blob/master/.travis.yml, Here's the build-wheels.sh found in the example project - https://github.com/pypa/python-manylinux-demo/blob/master/travis/build-wheels.sh, PS: I've also made an issue in manylinux to give these "raw"? So, it's an extra step before making a release. A whole day is kinda ridiculous. When making a pypi release, we just need to Pull the docker image This should do the work . There's a draft of the manylinux build here : https://github.com/MacPython/dlib-wheels, These are building here : https://travis-ci.org/MacPython/dlib-wheels/jobs/141487558, But - the problem is that I don't know anything about boost, and so I'm doing a huge brute force install of the boost libraries : https://github.com/MacPython/dlib-wheels/blob/master/config.sh#L29. 0. other projects. It's only reasonable to do with a small API. On the very last linking step? If you do a front wheel, or a MTB wheel they tend to be a lot more forgiving than a road bike's rear wheel. Huh, well, modify the cmake script to not link to it and see if it works out. What No, sorry, I got lost in the wilds of cmake / distutils. Yeah, there aren't any python tests :/ I knock out the program and feel good about myself. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Gathering from the manylinux github I don't think that libpython.so exists. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I did a few things and it worked. The text was updated successfully, but these errors were encountered: Install (cmake) https://cmake.org/download/ or install anaconda first, @curious1me this helped me with the same issue(using Win10 but anyway): @davisking are there any o.O ? https://github.com/pypa/python-manylinux-demo, https://github.com/notifications/unsubscribe/AF-Cx8nOssNVxLr88dSds4stNqRZAe2aks5qM8jpgaJpZM4I46s9, https://github.com/pypa/python-manylinux-demo/blob/master/.travis.yml, https://github.com/pypa/python-manylinux-demo/blob/master/travis/build-wheels.sh, https://travis-ci.org/MacPython/dlib-wheels/jobs/141487558, https://github.com/MacPython/dlib-wheels/blob/master/config.sh#L29, https://github.com/davisking/dlib/blob/master/dlib/cmake_utils/add_python_module#L65, https://travis-ci.org/MacPython/dlib-wheels/jobs/141526952#L988, https://svn.boost.org/trac/boost/ticket/11120, https://api.travis-ci.org/jobs/141526941/log.txt?deansi=true, https://github.com/AbdealiJK/file-metadata/blob/master/.travis.yml#L49, https://github.com/davisking/dlib/blob/master/dlib/cmake_utils/add_python_module, https://gitlab.kitware.com/vtk/vtk/commit/50d088ab9cbd4bc0e0215cbe6bdfdea9a392ca4b, Allow setting up wheels for OSX by not linking python, message(STATUS "USING PYTHON_LIBS: ${PYTHON_LIBRARIES}"). The text was updated successfully, but these errors were encountered: From my understanding of this, there isn't really anything to setup per se. Files for dlib, version 19.21.1; Filename, size File type Python version Upload date Hashes; Filename, size dlib-19.21.1.tar.gz (3.6 MB) File type Source Python version None Upload date Dec 4, 2020 Hashes View 1. Build dependencies specified by PEP 518 must be already installed if this option is used.--use-pep517¶ Use PEP 517 for building source distributions (use --no-use-pep517 to force legacy behaviour). - CMake scripts will automatically include the Intel MKL's iomp dll in the output folder to reduce confusion for windows users who haven't added the Intel MKL to … A C compiler almost definitely is, usually there is some kind of metapackage to install the default build tools, e.g. On the other hand, compiling OpenCV by hand takes longer, but ensures you have the full install and that the compile is optimized to your operating system and architecture. It's been compiling for over 8 hours. Numpy, Scipy, etc now provide wheels for linux using manylinux which makes installing them much easier. Cool. # # Here is a sample usage of that print ("Computing descriptor on aligned image .." EDIT - no - this is a minimum dependency - see below. This post is for those readers who want to install OpenCV on Windows for writing Python code only. A precompiled binary would have to disable all that stuff and so be slower for many users. New Features and Improvements: - Make dlib.full_object_detection take list of dlib.point or dlib.points. Successfully merging a pull request may close this issue. A wheel can only be good if it is built well. This is from looking at privacy statement. It will detect those and use them if available. So I got cmake 2.8.12 and boost 1.64.0 installed from source on a manylinux docker image. I can build the dlib code without error with cmake . How long does this take and is there a way to see a summary of what the c/c++ compiler, CL, is doing? The main cmake scripts for the pyhon bindings are in this file. Little attention is given to the finer details of the component parts. However, I added that dlib/test_for_odr_violations.h file because I constantly get questions from people who were doing silly things with their builds, getting errors that have nothing to do with dlib, and asking me about it. The only difference between a wheel you've built yourself and a wheel from a professional wheel builder is you took longer. I'm using running setup.py install for dlib. Too complicated, too likely to get it wrong, too easy to get someone else to do it. I can help set up wheel building - but I don't know how to run the tests on the Python code - can you give me any pointers? You are receiving this because you commented. The original 68-point facial landmark is nearly 100MB, weighing in at 99.7MB. quay.io/pypa/manylinux1_i686 and quay.io/pypa/manylinux1_x86_64 and then