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Open-source alternatives to Learnopencv
30 open-source projects similar to spmallick/learnopencv, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Learnopencv alternative.
- ewenwan/mvision
Ewenwan/MVision
8,653Vezi pe GitHub机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
C++cnndeep-learningmachine-vision - jbhuang0604/awesome-computer-vision
jbhuang0604/awesome-computer-vision
23,074Vezi pe GitHubThis project is a comprehensive, community-driven repository that serves as a centralized catalog for computer vision research and development. It functions as a structured index of academic papers, open-source software libraries, public datasets, and educational tutorials, providing a navigation point for the complex landscape of modern vision technology. The repository distinguishes itself through a taxonomy-based indexing system that maps the relationships between foundational research, influential academic figures, and their corresponding software implementations. By utilizing a lightweig
- pytorch/vision
pytorch/vision
17,743Vezi pe GitHubThis project is a comprehensive computer vision library for the PyTorch ecosystem, providing a standardized collection of neural network architectures, datasets, and high-performance transformation utilities. It serves as a foundational framework for building, training, and deploying deep learning models, offering a centralized model registry that allows developers to instantiate architectures with pre-trained weights for tasks such as image classification, object detection, and semantic segmentation. The library distinguishes itself through its modular approach to data and compute management
Pythoncomputer-visionmachine-learning - opencv/opencv
opencv/opencv
89,201Vezi pe GitHubOpenCV is a comprehensive computer vision library designed for real-time performance and cross-platform deployment. It provides a native execution environment that leverages multi-threaded operations and automated memory management to handle intensive computational tasks, including image processing and machine learning model inference. The library distinguishes itself through a data-oriented matrix framework that utilizes proxy-based array abstractions to provide a consistent interface for multidimensional data. By employing factory-pattern algorithm interfaces and runtime type dispatching, i
C++c-plus-pluscomputer-visiondeep-learning
