bilde 0.1.0

A python version of the Bilde library

bilde

(B)uffer (I)maging (L)ibrary, (D)irty and (E)xtendable

A library for writing procedural computer vision code in C++

• Header only No linking complications! Just copy it in your source tree.

• High C++ template use

• Define algorithms once, use them directly on several back-ends. With a mechanism based on implicit template instantiation, an algorithm is defined as a single function, and will seemlesly run several image containers such as cv::Mat, IplImage, octave arrays, numpy arrays.

Demos:

• SRS-LBP feature extractor:

Cross compiling for win32 (static build) and running in debian based linux.

Install dependencies:

sudo apt-get install autoconf automake autopoint bash bison bzip2 flex gettext git g++ gperf intltool libffi-dev libgdk-pixbuf2.0-dev libtool-bin libltdl-dev libssl-dev libxml-parser-perl make openssl p7zip-full patch perl pkg-config python ruby scons sed unzip wget xz-utils g++-multilib libc6-dev-i386
export MXE_ROOT="$HOME/tools/mxe"
mkdir -p "$HOME/tools"
cd "$HOME/tools"
git clone https://github.com/mxe/mxe.git
cd mxe
make opencv boost

Compile:

./compile_static_mxe.sh ./src/lbpFeatures2.cc /tmp/lbp_features2.exe

Get help:

wine /tmp/lbp_features2.exe

Run:

wine /tmp/lbp_features2.exe -i ./sample_data/PICT2466.png > /tmp/features.csv

Python extention (pybilde)

• Install build dependencies

pip install cibuildwheel

Build bdist without a CI

CIBW_SKIP="pp310-manylinux_i686 pp39-manylinux_i686 pp38-manylinux_i686 pp37-manylinux_i686 pp36-manylinux_i686 pp310-manylinux_x86_64  pp39-manylinux_x86_64 pp38-manylinux_x86_64  pp37-manylinux_x86_64 pp36-manylinux_x86_64" CIBW_BEFORE_BUILD="yum install -y boost-devel" cibuildwheel --platform linux --output-dir wheelhouse