opencv/opencv-python

Frequently asked questions

• hybridgroup/gocv

  hybridgroup/gocv

  7,463Auf GitHub ansehen↗

  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

  Go

  Auf GitHub ansehen↗7,463
• kornia/kornia

  kornia/kornia

  11,238Auf GitHub ansehen↗

  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

  Pythonartificial-intelligencecomputer-visiondeep-learning

  Auf GitHub ansehen↗11,238
• pypa/sampleproject

  pypa/sampleproject

  5,245Auf GitHub ansehen↗

  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

  Python

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