cvbuilder 0.4.54
OpenCV Hands-Free
Unofficial OpenCV builder for Python.
This package aims at building OpenCV 4.5.4 with Python bindings from the official sources.
It provides a simple command line interface for starting the process of downloading the
official sources, configuring the build dependencies, compiling and installing the resulting
CV2 shared object within a virtual environment.
In contrast to opencv-python it will not provide any
wheels and therefore the installation / build process will be by far slower (depending on the
actual system performance).
IMPORTANT NOTE
Depending on the usage and system dependencies, the on-the-fly build output can
contain video and GUI functionality and the contrib package.
Features
builds against Python >= 3.6
runs and builds inside virtual environment
includes video support
supports OpenCV check (import, build information)
compiles with many flags enabled (which???)
Supported OS
Debian Jessie, Stretch
Ubuntu 18.04
LinuxMint 18.2
Manjaro
Arch
Raspbian 9 (Stretch)
Supported Python runtimes
CPython 3.6, 3.7, 3.8, 3.9
PyPy (not yet)
Note: PyPy (7.3.0) is not supported yet due to missing path variables in module sysconfig.
Installation
Use a Python's virtual environment
or even better add the package via poetry: poetry add cvbuilder
Follow instructions below
Usage
After installing the package via pip / pipenv / poetry, you can manually invoke cvbuilder commands.
Install system dependencies
cvbuilder system --enable-gui --enable-video
Download, configure, build, install
The do-it-all command is:
cvbuilder build
or if you already downloaded the source zip files in the default temporary
directory or need to rerun the process in a clean way:
cvbuilder build --clean
Custom
If you need to run the individual steps (i.e. for debugging) the following
commands are provided.
Download sources
cvbuilder download
Generate make config
cvbuilder configure [--tmpdir XYZ]
Compile
cvbuilder make
Install
cvbuilder install
Dump
cvbuilder dump
Check
You can run the check command:
cvbuilder check
in order to check whether the build process and installation worked.
Running OpenCV
Now everything should be up and running and you should be able to work with OpenCV:
Start a python REPL: poetry run python
Import the CV package: import cv2
Read OpenCV documentation
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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