Adding CMake and VS2019/2022 support #1398

wo80 · 2024-02-05T08:01:31Z

This is not an issue. I opened it here, because I wasn't sure, if other issues were notified correctly if this was opened in the discussions section.

I've been working on Visual Studio compatibility lately (well, picked up work from a year ago), see https://github.com/wo80/essentia/

Here's what's in it:

CMake build script
RougeVector compatibility with Visual Studio 2019/2022
Compatibility with FFmpeg 4/5/6/7

There's a GitHub workflow and a short guide available showing how to compile the project.

If you are interested in merging this, I think the changes in the cmake branch should be split up into smaller pull requests. I'd suggest the following changes to go into separate PRs and that detailed discussion being done there:

Remove using namespace std from headers, see CppCoreGuidelines#Rs-using-directive (wo80@b510967)
Update C++ code (wo80@38bd16b, wo80@4c27b35, wo80@57c2e6f, wo80@877df4d)
Update googletest
Update AudioContext (wo80@7733e28, wo80@087af17, wo80@57918d0, wo80@246eff3)
Update RougeVector (wo80@5d761dd, wo80@07c48f2)
Remove outdated Visual Studio project files (and win32 3rd party code)
Add CMake support
Add Github workflow to test Visual Studio build

Regarding point 6: having the Visual Studio project files doesn't make sense with the CMake script in place. The win32 3rd party code is completely out of date, so I'd suggest, if you want to keep the option to cross-compile for Windows, all dependencies should be pulled from the online repos (like done in my GitHub workflow) and the versions being updated on a regular basis. I might update the shell scripts, if I find the time.

CMake build tested on

Windows 10, Visual Studio 2022
Windows 10, msys2, MinGW64, GCC 13
Debian 12, GCC 12
Fedora 39, GCC 13
Manjaro, GCC 13 and clang

WAF build ./waf --with-examples --with-cpptests --std c++17 tested on

Debian 12, GCC 12
Fedora 39, GCC 13

Unit tests are passing on all platforms. I have tested the Python wheel only on Debian. The essentia_python_tutorial.ipynb notebook runs without problems. I've also been able to build the wheel for Windows, but haven't done much testing. The following code runs fine in the Python prompt:

import os
os.add_dll_directory("C:/usr/bin")
import essentia
import essentia.standard
print(dir(essentia.standard))
help(essentia.standard.MFCC)

I'm compiling against shared library dependencies (FFmpeg etc.), so the location where those are residing has to be added with os.add_dll_directory on Windows.

I've tried to find the affected issues and pull requests. No guarantee for completeness, though.

The text was updated successfully, but these errors were encountered:

Lovecraft-github · 2024-02-19T18:50:07Z

could you please explain to me how to crosscompile a windows static binary of essentia with gaia?
I tried to follow the instructions in this repo but only manage to produce the binaries without gaia. the 3 party doesn't seem to offer an option for gaia like the linux one.

wo80 · 2024-02-19T20:45:34Z

@Lovecraft-github To me, Gaia and the related machine learning models look abandoned. That's why I haven't done any tests besides checking that the Gaia cmake project at https://github.com/wo80/gaia/tree/cmake compiles and links ok with the Essentia cmake project. If you haven't tried yet, I suggest you use the code from that branch. Please also read the guide - after compiling and installing Gaia, you will have to configure Essentia with

cmake -B build -DUSE_GAIA2=ON

I haven't tried to cross-compile the cmake project. The whole point of this, was to get it working with Visual Studio. So if you are on Linux trying to compile for Windows, I'm probably not much of a help.

dbogdanov · 2024-02-19T20:56:10Z

Firstly, thank you very much @wo80 for the PR!!! We'll be looking at it soon.

To clarify the situation, we are planning to get rid of dependency on Gaia. It is there for the SVM classification models support (GaiaTransform algorithm), however those are outdated by now. Our current TensorFlow models have a significantly better performance in terms of accuracy and generalization, so we need to remove Gaia and add support for TensorFlow on Windows instead.

Lovecraft-github · 2024-02-20T02:33:18Z

@wo80 I managed to build it for linux, but I didn't find a way to do it for windows. It was a long shot to ask you. I'm with you that seems abandoned. Thanks anyway.

@dbogdanov So we could say that gaia2 is officially gone. Well, that at least solves the problem of continuing trying :-P. It is planned to release static binaries or installer for windows in a near future? or make it possible to cross-compiling it?. And last, any estimation when it will happen?

wo80 · 2024-02-20T09:00:09Z

@Lovecraft-github I've updated some of the CMake modules which should also fix problems finding the Gaia package. The latest code is in the msvc-shared-lib branch - in case you still want to use the old models.

@dbogdanov I've also fixed issues with the Tensorflow support. I have linked with recent Tensorflow v2.15.0 and everything builds fine. I've successfully run the streaming_musicnn_predict example with the feature-extractors/musicnn/msd-musicnn-1.pb model. I tried streaming_vggish_predict with classification-heads/genre_dortmund/genre_dortmund-audioset-vggish-1.pb, but I'm getting

[   INFO   ] TensorflowPredict: Successfully loaded graph file: D:\projects\tensorflow\models\genre_dortmund-audioset-vggish-1.pb
TensorflowPredict: 'model/Sigmoid' is not a valid node name of this graph.
TensorflowPredict: Available node names are:
model/Placeholder, dense/kernel, dense/kernel/read, dense/bias, dense/bias/read, model/dense/MatMul,
model/dense/BiasAdd, model/dense/Relu, dense_1/kernel, dense_1/kernel/read, dense_1/bias, dense_1/bias/read,
model/dense_1/MatMul, model/dense_1/BiasAdd, model/Softmax.

I have to say, it's a bit unclear which models are supposed to work with which examples...

gotev · 2024-03-11T18:11:48Z

Hi everyone, first of all thank you for the joint efforts and time spent creating and maintaining this wonder!

I started using the lib successfully on macOS and Linux with python bindings, and now I've been curious to make it work also on Windows. It's not working out of the box with classic pip install essentia as pointed out by many users, so by researching further, I've come across this issue and followed the guide, but still no success.

Not using Windows for 12 years straight, so bear with me if I'm missing something obvious 😄

Going to describe what I've done in reproducible detail. Every shell command has been issued in a PowerShell run as administrator.

A. Build environment setup from scratch

Create a new VM with: Win10_22H2_English_x64 ISO

Run a PowerShell as Administrator. Install chocolatey package manager, python, git and vscode:

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned
# Install chocolatey package manager copying command from: https://chocolatey.org/install
# and then:
choco install -y python git vscode vscode-python

Install CMake and Build Tools

choco install -y cmake --installargs 'ADD_CMAKE_TO_PATH=System'
choco install -y visualstudio2022buildtools

Open Visual Studio Installer
- Select Workloads
- Select Desktop Development with C++
- Click on Modify
- Wait for the installation to be completed
Restart
Make a VM snapshot (just in case)

B. Get essentia sources and build dependencies

Navigate to your favorite working directory, then Run Developer PowerShell for VS 2022 as Administrator and:

# clone essentia
git clone --recurse-submodules https://github.com/wo80/essentia.git -b cmake
cd essentia
# install vcpkg locally, to resolve C++ lib dependencies
git clone https://github.com/microsoft/vcpkg
.\vcpkg\bootstrap-vcpkg.bat
# get dependencies with vcpkg
.\vcpkg\vcpkg install eigen3
.\vcpkg\vcpkg install fftw3
.\vcpkg\vcpkg install libyaml
# this one is veery long, as it also compiles ffmpeg (may take up to 40 mins)
.\vcpkg\vcpkg install chromaprint
.\vcpkg\vcpkg install libsamplerate
.\vcpkg\vcpkg install taglib
pip install numpy

C. Build essentia with python bindings

From the same Developer PowerShell for VS 2022 run as Administrator of the previous paragraph (or a new one in the essentia sources folder):

# configure essentia build
cmake -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"
# build and test essentia
cmake --build build --config Release
ctest --test-dir build --output-on-failure -C Release

D. Outcome

The build is successful and the tests are passing. I see also the compiled wheel inside the build folder: essentia-2.1b6.dev0-cp312-cp312-win32.whl but it's for Win32, even if I've done everything on Win64, so I can't install it in my virtual env with the usual:

.\venv\Scripts\activate
pip install ..\essentia\build\wheel\essentia-2.1b6.dev0-cp312-cp312-win32.whl

I'm getting:

ERROR: essentia-2.1b6.dev0-cp312-cp312-win32.whl is not a supported wheel on this platform.

the output from cmake -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake" is the following:

-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.19045.
-- Found Python3: C:/Python312/libs/python312.lib (found version "3.12.2") found components: Development NumPy Interpreter Development.Module Development.Embed
-- Found Python3: C:/Python312/python.exe (found version "3.12.2") found components: Interpreter Development Development.Module Development.Embed
-- Found Python3: C:/Python312/python.exe (found version "3.12.2") found components: Interpreter
-- Configuring done (1.4s)
-- Generating done (1.9s)
-- Build files have been written to: C:/Users/Admin/Desktop/essentia/build

Where am I doing it wrong? How to make it compile for Win64 instead? Any hint is appreciated.

wo80 · 2024-03-11T18:29:48Z

@gotev You could try specifying the target platform explictily, like cmake -B build -A x64 ...

And can you post the complete output of the CMake configure step?

gotev · 2024-03-11T19:11:46Z

By keeping everything else as my previous comment, except for the commands run at paragraph C, substituted by:

if (Test-Path .\build) { Remove-Item -Path .\build -Recurse -Force }
cmake -G "Visual Studio 17 2022" -A x64 -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"
# build and test essentia
cmake --build build --config Release
ctest --test-dir build --output-on-failure -C Release

I'm still getting essentia-2.1b6.dev0-cp312-cp312-win32.whl for win32 and not x64. By trying to install the wheel no matter the name of the file, I'm still getting the above mentioned error.

During the final steps of the build, I intercepted this from the console output:

Creating library C:/Users/Admin/Desktop/essentia/build/src/python/Release/_essentia.cp312-win_amd64.lib and object
   C:/Users/Admin/Desktop/essentia/build/src/python/Release/_essentia.cp312-win_amd64.exp
  _essentia.vcxproj -> C:\Users\Admin\Desktop\essentia\build\src\python\Release\_essentia.cp312-win_amd64.pyd
  Building Custom Rule C:/Users/Admin/Desktop/essentia/src/python/CMakeLists.txt
  Processing c:\users\admin\desktop\essentia\build\src\python
    Installing build dependencies: started
    Installing build dependencies: finished with status 'done'
    Getting requirements to build wheel: started
    Getting requirements to build wheel: finished with status 'done'
    Installing backend dependencies: started
    Installing backend dependencies: finished with status 'done'
    Preparing metadata (pyproject.toml): started
    Preparing metadata (pyproject.toml): finished with status 'done'
  Building wheels for collected packages: essentia
    Building wheel for essentia (pyproject.toml): started
    Building wheel for essentia (pyproject.toml): finished with status 'done'
    Created wheel for essentia: filename=essentia-2.1b6.dev0-cp312-cp312-win32.whl size=1978664 sha256=430f279d9b4d2be2
  ebe9c974d0525a7e46d2a6130a5fa0875236ac25143ba19e
    Stored in directory: C:\Users\Admin\AppData\Local\Temp\pip-ephem-wheel-cache-odjj24xg\wheels\2b\11\7b\0b358554c85e0
  36a6917648cc3dceefc2379e67ac2793b5169
  Successfully built essentia

Full output from:

cmake -G "Visual Studio 17 2022" -A x64 -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"

is the following:

-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.19045.
-- The C compiler identification is MSVC 19.39.33521.0
-- The CXX compiler identification is MSVC 19.39.33521.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.39.33519/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.39.33519/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found FFmpeg: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/avcodec.lib;C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/avformat.lib;C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/avutil.lib;C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/swresample.lib
-- Found SampleRate: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/samplerate.lib (found version "0.2.2")
-- Found Taglib: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/tag.lib (found version "2.0")
-- Found Chromaprint: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/chromaprint.lib (found version "1.5.1")
-- Found YAML: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/yaml.lib (found version "0.1")
-- Found Python3: C:/Python312/libs/python312.lib (found version "3.12.2") found components: Development NumPy Interpreter Development.Module Development.Embed
-- Found FFTW3f: C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/lib/fftw3f.lib (found version "3.3.9")
-- Found Python3: C:/Python312/python.exe (found version "3.12.2") found components: Interpreter Development Development.Module Development.Embed
-- Found Python3: C:/Python312/python.exe (found version "3.12.2") found components: Interpreter
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - not found
-- Found Threads: TRUE
-- Configuring done (31.0s)
-- Generating done (0.5s)
-- Build files have been written to: C:/Users/Admin/Desktop/essentia/build

gotev · 2024-03-11T20:21:12Z

Got it one step further. Executed steps A and B from my first comment and then:

if (Test-Path .\build) { Remove-Item -Path .\build -Recurse -Force }
cmake -G "Visual Studio 17 2022" -A x64 -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"

Then I manually edited:

code .\build\src\python\setup.py

by adding this line:

options={'bdist_wheel': {'plat_name': 'win_amd64'}},

after line 86, so the setup in the file looks like this:

setup(
    ..
    cmdclass = {
        'bdist': bdist,
        'sdist': sdist,
        'install_lib': install_lib,
        'build_ext': cmake_build_ext,
    },
    options={'bdist_wheel': {'plat_name': 'win_amd64'}},
)

Then, by running:

cmake --build build --config Release
ctest --test-dir build --output-on-failure -C Release

the lib compiles, tests passes and the 64 bit wheel gets generated: build\wheel\essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl

I'm able to install it successfully in the virtualenv:

.\venv\Scripts\activate
pip install ..\essentia\build\wheel\essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl

Processing c:\users\admin\desktop\essentia\build\wheel\essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl
Collecting numpy>=1.8.2 (from essentia==2.1b6.dev0)
  Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl.metadata (61 kB)
Collecting pyyaml (from essentia==2.1b6.dev0)
  Using cached PyYAML-6.0.1-cp312-cp312-win_amd64.whl.metadata (2.1 kB)
Collecting six (from essentia==2.1b6.dev0)
  Using cached six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl (15.5 MB)
Using cached PyYAML-6.0.1-cp312-cp312-win_amd64.whl (138 kB)
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pyyaml, numpy, essentia
Successfully installed essentia-2.1b6.dev0 numpy-1.26.4 pyyaml-6.0.1 six-1.16.0

But then when I try to import it:

python

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import essentia
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Admin\Desktop\myscript\venv\Lib\site-packages\essentia\__init__.py", line 1, in <module>
    from . import _essentia
ImportError: DLL load failed while importing _essentia: The specified module could not be found.

It fails with this error 🤔

wo80 · 2024-03-11T20:31:24Z

That manual editing of setup.py should not be necessary. When I compile, I get essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl. Ultimately, python/pip is responsible for the final name of the wheel, and the command is setup here:
https://github.com/wo80/essentia/cmake/modules/python-wheel.cmake

The error you are getting is probably due to vcpkg building shared libs, and python does not know where to find them. You need to add that path manually (the path used below is just a guess from the output you provided):

import os
os.add_dll_directory("C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/bin")
import essentia
...

gotev · 2024-03-11T20:46:50Z

@wo80 great! Yeah the path is correct. I can now import the library:

python

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.add_dll_directory("C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/bin")
<AddedDllDirectory('C:/Users/Admin/Desktop/essentia/vcpkg/installed/x64-windows/debug/bin')>
>>> import essentia
>>>

but I wonder if there's a way to install those libs in standard dirs wth vcpkg (inside the virtualenv), so I don't have to write this platform specific python code for Windows.

This line caught my attention:

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32

that on win32 at the end may be causing win32 wheel build by default. I agree setup.py shouldn't need manual patching. Installed python through chocolatey. How did you install python and what does it display to you when you enter the REPL?

wo80 · 2024-03-11T21:04:19Z

How did you install python and what does it display to you when you enter the REPL?

I used the installer provided on python.org, and I'm quite confident, that chocolatey does the same.

Python 3.12.1 (tags/v3.12.1:2305ca5, Dec  7 2023, 22:03:25) [MSC v.1937 64 bit (AMD64)] on win32

but I wonder if there's a way to install those libs in standard dirs with vcpkg, so I don't have to write this platform specific python code for Windows.

First, take a look at https://docs.python.org/3/whatsnew/3.8.html#bpo-36085-whatsnew . That means, shared dependencies have to be installed in a system path or the wheel directory. I'm not a python guy, but my guess is, even in case this is done, some manual loading might be necessary in __init__.py on the Windows platform. I'll test copying the dependencies to the wheel directory tomorrow (it's getting late here 🥱).

I have made improvements linking with static dependencies in wo80@61d8947 , but there are still problems - for example linking the FFmpeg libraries statically, you also need to add Windows' bcrypt.lib, which the CMake build script doesn't do right now.

EDIT: you can try building static libraries with vcpkg using vcpkg install taglib:x64-windows-static etc. and then configure CMake with the -DENABLE_STATIC_DEPENDENCIES=ON option. I'm not sure how the FFmpeg dependency is handled by vcpgk, though.

gotev · 2024-03-12T00:37:06Z

Retried again all the steps, by also recreating the VM from scratch and explicitly specifying x64 architecture when installing python from chocolatey (it's using the installer from python.org) and also dependencies with vcpkg. To sum it up, those are all the updated steps from scratch:

A. Build environment setup from scratch

Create a new VM with: Win10_22H2_English_x64 ISO

Run a PowerShell as Administrator. Install chocolatey package manager, python, git and vscode:

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned
# Install chocolatey package manager copying command from: https://chocolatey.org/install
# and then:
choco install -y python --x64
choco install -y git vscode vscode-python

Install CMake and Build Tools

choco install -y cmake --installargs 'ADD_CMAKE_TO_PATH=System'
choco install -y visualstudio2022buildtools

Open Visual Studio Installer
- Select Workloads
- Select Desktop Development with C++
- Click on Modify
- Wait for the installation to be completed
Manually check and install windows updates (from Start > Settings > Updates)
Restart
Make a VM snapshot (just in case)

B. Get essentia sources and build dependencies

Navigate to your favorite working directory, then Run Developer PowerShell for VS 2022 as Administrator and:

# clone essentia
git clone --recurse-submodules https://github.com/wo80/essentia.git -b cmake
cd essentia
# install vcpkg locally, to resolve C++ lib dependencies
git clone https://github.com/microsoft/vcpkg
.\vcpkg\bootstrap-vcpkg.bat
# get dependencies with vcpkg
.\vcpkg\vcpkg install eigen3:x64-windows
.\vcpkg\vcpkg install fftw3:x64-windows
.\vcpkg\vcpkg install libyaml:x64-windows
.\vcpkg\vcpkg install libsamplerate:x64-windows
.\vcpkg\vcpkg install taglib:x64-windows
# this one is veery long, as it also compiles ffmpeg (may take up to 40 mins)
.\vcpkg\vcpkg install chromaprint:x64-windows
pip install numpy

C. Build essentia with python bindings

From the same Developer PowerShell for VS 2022 run as Administrator of the previous paragraph (or a new one in the essentia sources folder):

if (Test-Path .\build) { Remove-Item -Path .\build -Recurse -Force }
cmake -G "Visual Studio 17 2022" -A x64 -B build -D BUILD_PYTHON_BINDINGS=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"
# build and test essentia
cmake --build build --config Release
ctest --test-dir build --output-on-failure -C Release

After the build completes:

cmake --build build --config Release

I'm still getting only essentia-2.1b6.dev0-cp312-cp312-win32.whl wheel inside the build\wheel folder.

To workaround this (haven't found what's causing the issue yet, but replicated it the same from scratch 2 times) and prepare a 64 bit wheel with the needed DLLs bundled in, without manually editing any file, I found this way:

pip install wheel setuptools delvewheel

# from inside the essentia sources root directory, after the build is completed
cd .\build\src\python
# manually build the 64 bit wheel
python setup.py bdist_wheel --plat-name win_amd64
# get to the wheel output directory
cd ..\..\wheel
# find the exact name of the 64 bit wheel
$wheel_name = (Get-ChildItem -Path . -Filter "*amd64.whl" | Select-Object -First 1).Name
# show missing DLLs
delvewheel show $wheel_name --add-path ..\..\vcpkg\installed\x64-windows\bin
# integrate missing DLLs in the wheel and repackage it
delvewheel repair $wheel_name --add-path ..\..\vcpkg\installed\x64-windows\bin -w .

Then, to test it out:

python -m venv venv
.\venv\Scripts\activate
pip install .\essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl

install output

Processing c:\users\admin\desktop\essentia\build\wheel\essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl
Collecting numpy>=1.8.2 (from essentia==2.1b6.dev0)
  Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl.metadata (61 kB)
Collecting pyyaml (from essentia==2.1b6.dev0)
  Using cached PyYAML-6.0.1-cp312-cp312-win_amd64.whl.metadata (2.1 kB)
Collecting six (from essentia==2.1b6.dev0)
  Using cached six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl (15.5 MB)
Using cached PyYAML-6.0.1-cp312-cp312-win_amd64.whl (138 kB)
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pyyaml, numpy, essentia
Successfully installed essentia-2.1b6.dev0 numpy-1.26.4 pyyaml-6.0.1 six-1.16.0

python

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import essentia
>>>

and boom, it's now imported without any additional statements! Now it's very late, so I'll leave further refinements and tests for another time! Further tunings will certainly be needed to avoid workarounds, enable all the features and be able to use the full fledged library as on macOS and Linux.

gotev · 2024-03-12T17:28:48Z

@wo80 @dbogdanov managed to get a completely working 64 bit wheel for Windows (with DLLs bundled in the wheel, so no static libs needed) with TensorFlow support. There are some warnings here and there, but it's working 🎉

This is the working recipe from scratch to finish:

A. Build environment setup from scratch

Create a new VM with: Win10_22H2_English_x64 ISO

Run a PowerShell as Administrator. Install chocolatey package manager, python, git and vscode:

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned
# Install chocolatey package manager copying command from: https://chocolatey.org/install
# and then:
choco install -y python --x64
choco install -y git vscode vscode-python

Install CMake and Build Tools

choco install -y cmake --installargs 'ADD_CMAKE_TO_PATH=System'
choco install -y visualstudio2022buildtools

Open Visual Studio Installer
- Select Workloads
- Select Desktop Development with C++
- Click on Modify
- Wait for the installation to be completed
Manually check and install windows updates (from Start > Settings > Updates)
Restart
Make a VM snapshot (just in case)

B. Get essentia sources and build dependencies

Navigate to your favorite working directory, then Run Developer PowerShell for VS 2022 as Administrator and:

# clone essentia
git clone --recurse-submodules https://github.com/wo80/essentia.git -b cmake
cd essentia
# install vcpkg locally, to resolve C++ lib dependencies
git clone https://github.com/microsoft/vcpkg
.\vcpkg\bootstrap-vcpkg.bat
# get dependencies with vcpkg
.\vcpkg\vcpkg install eigen3:x64-windows
.\vcpkg\vcpkg install fftw3:x64-windows
.\vcpkg\vcpkg install libyaml:x64-windows
.\vcpkg\vcpkg install libsamplerate:x64-windows
.\vcpkg\vcpkg install taglib:x64-windows
# this one is veery long, as it also compiles ffmpeg (may take up to 40 mins)
.\vcpkg\vcpkg install chromaprint:x64-windows
pip install numpy

Get TensorFlow. Save this in get-tf.ps1 and execute it with .\get-tf.ps1 (credits to @wo80 guide here):

$tfRemoteUrl = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-windows-x86_64-2.15.0.zip"
$tfPatchHeadersUrl = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.15.0.tar.gz"
$tfTempPath = ".\tf-temp"
$zipFile = ".\tf.zip"
$zipPatchHeadersFile = ".\tf-patch-headers.tar.gz"

if (Test-Path $tfTempPath) {
  Remove-Item -Path $tfTempPath -Recurse -Force
}

mkdir $tfTempPath
Set-Location $tfTempPath

$ProgressPreference = 'SilentlyContinue'

Write-Host "Downloading $tfRemoteUrl ..."
Invoke-WebRequest -Uri $tfRemoteUrl -OutFile $zipFile

Write-Host "Downloading $tfPatchHeadersUrl ..."
Invoke-WebRequest -Uri $tfPatchHeadersUrl -OutFile $zipPatchHeadersFile

$ProgressPreference = 'Continue'

Write-Host "Extracting $tfRemoteUrl ..."
Expand-Archive -Path $zipFile -DestinationPath .

Write-Host "Extracting $zipPatchHeadersFile ..."
mkdir .\tf-patch-headers
tar -xvzf $zipPatchHeadersFile -C .\tf-patch-headers

Remove-Item $zipFile
Remove-Item $zipPatchHeadersFile

Write-Host "Copying files ..."
Copy-Item .\lib\tensorflow.dll ..\vcpkg\installed\x64-windows\bin -Force
Copy-Item .\lib\tensorflow.lib ..\vcpkg\installed\x64-windows\lib -Force
Copy-Item .\tf-patch-headers\include\* -Destination ..\vcpkg\installed\x64-windows\include -Recurse -Force
Copy-Item .\include\* -Destination ..\vcpkg\installed\x64-windows\include -Recurse -Force
Set-Location ..

C. Build essentia with TensorFlow and python bindings

From the same Developer PowerShell for VS 2022 run as Administrator of the previous paragraph (or a new one in the essentia sources folder):

if (Test-Path .\build) { Remove-Item -Path .\build -Recurse -Force }
cmake -G "Visual Studio 17 2022" -A x64 -B build -D BUILD_PYTHON_BINDINGS=ON -D USE_TENSORFLOW=ON -S . "-DCMAKE_TOOLCHAIN_FILE=vcpkg/scripts/buildsystems/vcpkg.cmake"
# build and test essentia
cmake --build build --config Release
ctest --test-dir build --output-on-failure -C Release

D. Package 64 bit wheel with all needed DLLs

From the same Developer PowerShell for VS 2022 run as Administrator of the previous paragraph (or a new one in the essentia sources folder):

pip install wheel setuptools delvewheel

# from inside the essentia sources root directory, after the build is completed
cd .\build\src\python
# manually build the 64 bit wheel
python setup.py bdist_wheel --plat-name win_amd64
# get to the wheel output directory
cd ..\..\wheel
# find the exact name of the 64 bit wheel
$wheel_name = (Get-ChildItem -Path . -Filter "*amd64.whl" | Select-Object -First 1).Name
# show missing DLLs
delvewheel show $wheel_name --add-path ..\..\vcpkg\installed\x64-windows\bin
# integrate missing DLLs in the wheel and repackage it
delvewheel repair $wheel_name --add-path ..\..\vcpkg\installed\x64-windows\bin -w .

The resulting wheel will be in essentia\build\wheel named like essentia-2.1b6.dev0-cp312-cp312-win_amd64.whl.

E. Install the wheel and import essentia

python -m venv venv
.\venv\Scripts\activate
pip install path\to\wheel.whl

python

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

>>> import essentia.standard as estd
[   INFO   ] MusicExtractorSVM: no classifier models were configured by default
2024-03-12 08:13:43.420581: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
>>>
>>> loader = estd.MonoLoader(filename="music.mp3")
>>> audio = loader()
>>> key_extractor = estd.KeyExtractor()
>>> key, scale, _ = key_extractor(audio)
>>> print(key)
A
>>> print(scale)
minor
>>> bpm_extractor = estd.RhythmExtractor2013(method="multifeature")
>>> bpm, _, _, _, _ = bpm_extractor(audio)
>>> print(bpm)
128.13800048828125

wo80 · 2024-03-12T17:58:58Z

@gotev That's great! You're the first one reporting back, so thank you for your efforts! Can you test the following in PowerShell:

cd build/wheel
tar -xf essentia-2.1b6.dev0-cp312-cp312-win32.whl
Get-ChildItem -Path essentia -Recurse -Filter "*.pyd"
Select-String -Path essentia-2.1b6.dev0.dist-info/WHEEL -Pattern "Tag:"

If it prints

_essentia.cp312-win_amd64.pyd
essentia-2.1b6.dev0.dist-info\WHEEL:4:Tag: cp312-cp312-win_amd64

then the weird win32 package is actually a valid win_amd64 wheel, and the only thing you need to do to make pip install it, is to rename it (no need for python setup.py bdist_wheel --plat-name win_amd64 in step D).

EDIT:
Maybe also check the following in a Python shell:

import sysconfig
sysconfig.get_platform()

I still want to know where that win32 comes from :)

gotev · 2024-03-12T18:30:55Z

cd build/wheel
tar -xf essentia-2.1b6.dev0-cp312-cp312-win32.whl
Get-ChildItem -Path essentia -Recurse -Filter "*.pyd"
Select-String -Path essentia-2.1b6.dev0.dist-info/WHEEL -Pattern "Tag:"

outputs:

PS C:\Users\Admin\Desktop\essentia\build\wheel> tar -xf essentia-2.1b6.dev0-cp312-cp312-win32.whl
PS C:\Users\Admin\Desktop\essentia\build\wheel> Get-ChildItem -Path essentia -Recurse -Filter "*.pyd"


    Directory: C:\Users\Admin\Desktop\essentia\build\wheel\essentia


Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
-a----         3/12/2024   2:03 PM        6030848 _essentia.cp312-win_amd64.pyd


PS C:\Users\Admin\Desktop\essentia\build\wheel> Select-String -Path essentia-2.1b6.dev0.dist-info/WHEEL -Pattern "Tag:"

essentia-2.1b6.dev0.dist-info\WHEEL:4:Tag: cp312-cp312-win32

Python 3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import sysconfig
>>> sysconfig.get_platform()
'win-amd64'

Try replicating my whole procedure using your favorite VM solution and let me know if you have the same outcome. I've read somewhere that MS kept Win32 also on 64 bit archs to preserve backwards compatibility. Rather strange.

wo80 · 2024-03-12T19:28:41Z

Yeah, very strange. I'm running Windows 10 22H2 fully updated on bare metal with VS 2022. The only difference being

I don't use vcpkg for the dependencies
I have Python 3.12.1 installed instead of latest 3.12.2

Anyways, it's good to have the detailed info available here and I might add a dedicated Python section to my guide.

gotev · 2024-03-12T20:14:46Z

@wo80 if you post here the exact commands you're using for the dependencies, I can try them on my VM instead of using vspkg and see if the outcome changes.

Also, as I'm running the whole build env in a VM on an Intel macOS Sonoma 14.4, if there's a way to run the build in a windows docker instead of a VM, we'll have the CI pipeline ready for win builds and it will be a lot faster and portable, getting rid of all the manual operations.

I've noticed that vspkg packages are not always aligned to latest versions and although it's convenient to use because it's straightforward, you have less control on what gets built, for example I couldn't tune ffmpeg.

wo80 · 2024-03-12T21:14:41Z

@gotev I basically do what's in the GitHub workflow:
https://github.com/wo80/essentia/blob/cmake/.github/workflows/build-cmake.yml#L54

It doesn't build the Python wheel, though. This might be a good opportunity to add that to the workflow.

wo80 · 2024-03-14T11:02:27Z

I tested building the wheel in the Github workflow and the right platform is picked automatically, so still a mystery where that win32 comes from:
https://github.com/wo80/essentia/actions/runs/8279229552/job/22653193864#step:13:653

The Python setup is a bit hacky since actions/setup-python doesn't support installing the Python debug binaries, so I don't think I'll merge this into the cmake branch.

username116 · 2024-03-14T22:38:32Z

Hi,

I installed essentia following this procedure. Thanks @gotev, I couldn't have done it without this very detailed step-by-step.
I installed on windows 10, not a virtual machine. I didn't use chocolatey, I downloaded the installers from the sites (so there, there, there). I already had VS Codium, so I installed this extension (instead of this one, if I understand the chocolatey command correctly). But I never used VS Codium / VS Code in this process.

In step B, I had to do .\vcpkg\bootstrap-vcpkg.bat after git clone https://github.com/microsoft/vcpkg, as indicated in the Readme.
.\vcpkg\vcpkg install chromaprint:x64-windows failed the first time but succeeded the second time.
At the end (step E), if you want to use essentia ~~normally~~ globally, skip the two venv commands : just do pip install path\to\wheel.whl without the two previous commands (it took me a while to understand this).

And it worked.

Details not important

I made a small test with tensorflow models and I have slightly different results between this installation, and another one in WSL (Windows Subsystem for Linux) installed with the command pip install essentia-tensorflow. For example :

acoustic: 0.05673198401927948     (with windows)
acoustic: 0.05673199146986008     (with WSL)

I get these messages when I run a script:

2024-03-14 22:45:42.401022: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
[   INFO   ] MusicExtractorSVM: no classifier models were configured by default
2024-03-14 22:45:43.335051: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.

The calculation is faster in Windows than in WSL.

Thanks a lot @wo80 and @gotev.

wo80 · 2024-03-15T20:09:25Z

I have modified the Windows workflow job to use a batch script for downloading and installing the dependencies:

https://github.com/wo80/essentia/blob/cmake/packaging/build-dependencies-msvc.bat

This should be straightforward for users to run on a Windows machine.

I'm also playing around with an audio-only FFmpeg workflow for Windows / MSVC:

https://github.com/wo80/ffmpeg-audio-only/tree/develop

Shared and static build artifacts are available, but I haven't had time to test those yet. Using the audio-only libraries could reduce the size of a self-contained Essentia package considerably (like, for example a Python wheel), with TensorFlow remaining the only huge dependency.

The plan is to make official releases, which could then be used instead of github.com/GyanD/codexffmpeg/releases in the batch script.

gotev · 2024-03-15T20:54:12Z

@username116

Regarding point B instruction, thank you for pointing that out. Fixed the comment Adding CMake and VS2019/2022 support #1398 (comment) Actually the command was there in the previous comments, I've lost it somewhere along the way 😄
Regarding vcpkg it may happen for a variety of networking reasons
In step E I used a python virtual environment on purpose, to keep each test isolated and not pollute global python packages. Where you want to install the wheel (a virtualenv or globally) depends on your specific need.

@wo80 great job! We should be just fine with the shared libs (DLLs) for the wheel, but I think we should find a way to get rid of delvewheel which I used just to finalize a first working wheel quickly. I found out that by adding this:

include_package_data=True,
package_data={"devsys": ['deviceSystem.dll']},

to the setup.py it should be possible to declare the needed DLLs without using a third party tool. Haven't had time to test it out yet.

FelixKarlheinz · 2024-06-26T15:03:23Z

A bit late in the game, I followed all the steps from you @gotev to build the python_wheel for amd64 on a Windows machine. Everything works fine, I can install the wheel but.... then:

File "C:\Users\Sonic\anaconda3\envs\ess-test\lib\site-packages\essentia\__init__.py", line 1, in <module>
   from . import _essentia
ImportError: cannot import name '_essentia' from partially initialized module 'essentia' (most likely due to a circular import) (C:\Users\Sonic\anaconda3\envs\ess-test\lib\site-packages\essentia\__init__.py)

Any ideas what could have gone wrong?

wo80 · 2024-06-26T17:35:20Z

@FelixKarlheinz I've seen this error a lot when I started work on building the Python Windows package with CMake. It just means that the native pyd binary could not be loaded, but it's not very helpful when trying to find out what went wrong.

Please check which version of Python was used in your build (by examining the CMake configure output)
and make sure it is the same version that you use in your Anaconda environment. Also, numpy version 2 was released recently, and it will be picked up automatically when doing a fresh install of the wheel. Make sure that you don't use v2 in your test environment, but an earlier version 1.x.

I recently configured the python-wheel branch to upload build artifacts, see for example

Release: https://github.com/wo80/essentia/actions/runs/9538058131
RelWithDebInfo: https://github.com/wo80/essentia/actions/runs/9553169549

All dependencies are linked statically. Tensorflow algorithms are disabled, but I could modify the workflow to include them.

You could either test that wheel or just download the artifact and compare the contents to your installation and see if anything is different (edit: anything not related to the pyd binary).

FelixKarlheinz · 2024-06-27T07:41:59Z

@wo80 thank you for your fast answer. The thing is I mainly use the genre classification with the discogs-effnet model as a pre-process in my pipeline so tensorflow is the crucial thing I want to get to run on Windows :). I will try your tips, thank you! Regarding the static linking, what would be the steps I need to do to include the tensorflow algorithms?

Much appreciate your work!

wo80 · 2024-06-27T10:11:31Z

Regarding the static linking, what would be the steps I need to do to include the tensorflow algorithms?

@FelixKarlheinz Regarding the Essentia build, only the USE_TENSORFLOW=ON option has to be set (see build-cmake.yml workflow).

Tensorflow for Windows is distributed as a shared library only, in the latest iteration of packaging/build-dependencies-msvc.bat I use version 2.16.1. Since there is no static Tensorflow library to link, you will need to take further steps to make the Python wheel work. You can do one of the following:

Use os.add_dll_directory("C:/path/to/tensorflow") before loading the Essentia Python package in your scripts
Manually copy the Tensorflow dll to the Python wheel dir that contains the Essentia pyd library
Patch either setup.py before building the wheel or patch the wheel after building it to include the Tensorflow dll following @gotev 's instructions.

The cmake branch currently shows how to use dependencies linked as shared libraries and the python-wheel branch how to statically link dependencies (with the exception of Tensorflow). Just compare .github/workflows/build-cmake.yml and packaging/build-dependencies-msvc.bat of the corresponding branches.

So, to wrap up, you can use packaging/build-dependencies-msvc.bat of the python-wheel branch to build static dependencies, configure with CMake

cmake -B build -DBUILD_PYTHON_BINDINGS=ON
               -DUSE_TENSORFLOW=ON
               -DENABLE_STATIC_DEPENDENCIES=ON
               -DCMAKE_PREFIX_PATH=%CD%\packaging\msvc

and then try one of the three options above to handle the missing Tensorflow dll (which will be available in packaging\msvc\bin).

FelixKarlheinz · 2024-06-27T14:01:49Z

@wo80 Starting with the good news, I can install your wheel that you provided in the artifacts folder and I can import essentia. I tried to basically replicate build-cmake_yml. Unfortunately, cmake is not finding any libs (even though prefix path is set) so I had to point to them individually which worked except for FFTW3. After the build, I build the python_wheel but I still end up with the circular import error. I will keep investigating why this is not working on my machine with the same commands as in your build job.

FelixKarlheinz · 2024-07-03T13:12:31Z

@wo80 Do you happen to have time to include tensorflow into your python_wheel?

wo80 · 2024-07-03T20:04:05Z

@FelixKarlheinz The artifact is available at https://github.com/wo80/essentia/actions/runs/9783114926 . It does not contain the Tensorflow dll, so you still have to fix that choosing one of the options explained above.

The wheel is built from the new cmake-python branch. The code is exactly the same as in the cmake branch, only the workflow has been modified.

I've also added a section regarding Python in my build instructions.

wo80 · 2024-08-12T06:41:24Z

We'll be looking at it soon.

@dbogdanov Any news? Even if you decide not to have a second, competing build system, I guess it would make sense to integrate some of the changes listed in the 8 points of my opening post. Should I just start doing pull requests?

joshavant · 2024-09-24T03:26:06Z

Voicing support for this.

A first-class CMake build implementation would make it easier for new users to navigate around existing deficiencies in build-related documentation and behavior.

Thanks for the excellent work starting this effort @wo80!

username116 mentioned this issue Mar 15, 2024

[FEATURE] Essentia regorxxx/Search-by-Distance-SMP#28

Open

oblitzitate mentioned this issue Jun 5, 2024

Allow for the more current TensorFlow models adamjakab/BeetsPluginXtractor#31

Open

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