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
Kornia is a differentiable computer vision library and cross-framework tensor vision toolset. It implements vision operations as differentiable tensors to enable integration into deep learning pipelines and supports the transpilation of operations across PyTorch, TensorFlow, JAX, and NumPy. The project provides specialized toolsets for geometric vision and stereo depth, including algorithms for 3D scene reconstruction, camera calibration, and pose estimation. It further distinguishes itself as a differentiable image augmentation framework, applying random geometric and color transformations w
This project is a reference implementation and tutorial designed to demonstrate the end-to-end workflow of building, versioning, and uploading Python distributions. It serves as a concrete project template and example for configuring metadata and build artifacts for package indices. The repository illustrates how to package software by defining project metadata and dependencies in static configuration files. It covers the process of transforming source trees into versioned archives and platform-specific binary distributions, specifically showing how to build binary wheels and source distribut
ccv is a computer vision library written in C designed for high-performance visual analysis. It serves as a framework for image classification, object detection, and the identification of faces, pedestrians, and vehicles. The library distinguishes itself through hardware-accelerated vision and deep learning inference optimizations. It utilizes a quantized tensor processor to transform floating-point data into eight-bit integers and implements integer-quantized attention mechanisms to reduce memory bandwidth and increase data throughput. The project covers a broad range of capabilities, inclu
该项目是 OpenCV 计算机视觉库的 Python 包装器，提供了一个将高性能 C++ 函数暴露给 Python 编程语言的桥梁。它是一系列用于实时图像处理、目标检测和视觉数据机器学习的工具合集。
The main features of opencv/opencv-python are: Computer Vision Libraries, Computer Vision, Computer Vision Wrappers, Python-C++ Bindings, GPU Accelerated Computer Vision, Pre-compiled Package Binaries, Package Distribution, Python Distribution Packaging.
Open-source alternatives to opencv/opencv-python include: hybridgroup/gocv — GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and… kornia/kornia — Kornia is a differentiable computer vision library and cross-framework tensor vision toolset. It implements vision… pypa/sampleproject — This project is a reference implementation and tutorial designed to demonstrate the end-to-end workflow of building,… liuliu/ccv — ccv is a computer vision library written in C designed for high-performance visual analysis. It serves as a framework… hybridgroup/gobot — Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT… idealo/imagededup — imagededup is a Python library used for finding exact and near-duplicate images. It provides utilities for generating…