Small and blazingly fast python library for image processing.
Project description
Warning: project is unstable now.
Npeg
It is a small and blazingly fast python library for image processing.
Why is it fast?
- Npeg core written on C.
- Npeg support cpu hardware acceleration, for example, avx. (In the process)
- Npeg support gpu gardware acceleration, for example, cuda, opencl. (In the future)
Supported formats
- PNG (In the future)
- JPG (In the future)
- WEBP (In the future)
- TIFF (In the future)
- PBM
- PGM (In the future)
- PPM (In the future)
- PPA (In the future)
Examples
from npeg import img_read, Interpolation
# img rotation.
with img_read('cats.pbm') as img:
img.rotate(10)
img.rotate(-10, Interpolation.INTER_LINEAR)
img.save('rotated_cat.pbm')
# Or you can read file manually.
img = img_read('dogs.pbm')
img.save('dods_cipy.bpm') # Kind of img copying.
img.close()
Installation
$ pip install npeg
Installation from source
Dependencies:
- poetry
- meson
$ git clone https://github.com/neothebestdeveloper/npeg
$ poetry run build_pkg
$ pip install "dist/npeg-0.0.1-py3-none-any.whl"
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