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python binding for libvips using cffi
The main features of libvips/pyvips are: Computer Vision, Feature Engineering, Image Processing.
Projects with overlapping indexed features include: scikit-image/scikit-image — scikit-image is a Python image processing library and scientific image analysis toolkit. It provides a framework for… luispedro/mahotas — Computer Vision in Python. ermig1979/simd — C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE… emcconville/wand — The ctypes-based simple ImageMagick binding for Python. hybridgroup/gocv — GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and… python-pillow/pillow — Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and…
scikit-image is a Python image processing library and scientific image analysis toolkit. It provides a framework for digital image processing and computer vision, utilizing numerical arrays for pixel-level manipulations. The library enables the quantification of image properties and the detection of visual features, such as edges and blobs. It includes tools for image segmentation and the extraction of textures and patterns to characterize objects within visual data. Capabilities cover image manipulation through color space conversion, geometric transformations, and digital restoration. It a
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
The ctypes-based simple ImageMagick binding for Python
GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br