# 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.
## Python module
```python
import pybilde
import skimage
img = skimage.data.coins()
histogram = pybilde.lbp_features(img, 8, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
```
## Demos:
* SRS-LBP feature extractor:
Cross compiling for win32 (static build) and running in debian based linux.
Install dependencies:
```bash
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:
```bash
./compile_static_mxe.sh ./src/lbpFeatures2.cc /tmp/lbp_features2.exe
```
Get help:
```bash
wine /tmp/lbp_features2.exe
```
Run:
```bash
wine /tmp/lbp_features2.exe -i ./sample_data/PICT2466.png > /tmp/features.csv
```
Compiling in ubuntu:
```bash
sudo apt-get install libopencv-dev libhighgui-dev libprotobuf-dev libwebp-dev # depending on your system you might need other packages
cd src
make lbpFeatures2
```
## Python extention (pybilde)
* Install build dependencies
```bash
pip install cibuildwheel
```
Build bdist without a CI
```bash
CIBW_BUILD="cp313t-manylinux_x86_64 cp313t-manylinux_x86_64 cp312-manylinux_x86_64 cp311-manylinux_x86_64 cp310-manylinux_x86_64 cp39-manylinux_x86_64 cp38-manylinux_x86_64 cp37-manylinux_x86_64 cp36-manylinux_x86_64" CIBW_BEFORE_BUILD="yum install -y boost-devel" cibuildwheel --platform linux --output-dir wheelhouse
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
```
Raw data
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"description": "# bilde\n\n## (B)uffer (I)maging (L)ibrary, (D)irty and (E)xtendable\n\nA library for writing procedural computer vision code in C++\n\n* Header only\nNo linking complications!\nJust copy it in your source tree.\n\n* High C++ template use\n\n* Define algorithms once, use them directly on several back-ends.\nWith 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.\n\n## Python module\n```python\nimport pybilde\nimport skimage\nimg = skimage.data.coins()\nhistogram = pybilde.lbp_features(img, 8, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n```\n\n## Demos:\n\n* SRS-LBP feature extractor:\n\nCross compiling for win32 (static build) and running in debian based linux.\n\nInstall dependencies:\n```bash\nsudo 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\nexport MXE_ROOT=\"$HOME/tools/mxe\"\nmkdir -p \"$HOME/tools\"\ncd \"$HOME/tools\"\ngit clone https://github.com/mxe/mxe.git\ncd mxe\nmake opencv boost\n```\nCompile:\n```bash\n./compile_static_mxe.sh ./src/lbpFeatures2.cc /tmp/lbp_features2.exe\n```\n\nGet help:\n```bash\nwine /tmp/lbp_features2.exe\n```\n\nRun:\n```bash\nwine /tmp/lbp_features2.exe -i ./sample_data/PICT2466.png > /tmp/features.csv\n```\n\nCompiling in ubuntu:\n```bash\nsudo apt-get install libopencv-dev libhighgui-dev libprotobuf-dev libwebp-dev # depending on your system you might need other packages\ncd src\nmake lbpFeatures2\n```\n\n## Python extention (pybilde)\n* Install build dependencies\n```bash\npip install cibuildwheel\n```\n\nBuild bdist without a CI\n```bash\nCIBW_BUILD=\"cp313t-manylinux_x86_64 cp313t-manylinux_x86_64 cp312-manylinux_x86_64 cp311-manylinux_x86_64 cp310-manylinux_x86_64 cp39-manylinux_x86_64 cp38-manylinux_x86_64 cp37-manylinux_x86_64 cp36-manylinux_x86_64\" CIBW_BEFORE_BUILD=\"yum install -y boost-devel\" cibuildwheel --platform linux --output-dir wheelhouse\nCIBW_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\n```\n",
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