spmallick/learnopencv

Health v2 · maintenance only

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23170 stars · 11660 forks observed · 2026-09-29

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97

LearnOpenCV is a repository of C++ and Python code examples for computer vision, deep learning, and AI. It provides ready‑to‑run notebooks and scripts that demonstrate OpenCV features and model integration.

Use cases

• How to read, display, and write images with OpenCV in Python
• Implement object detection and tracking using OpenCV and YOLO
• Apply image filtering, edge detection, and contour extraction in C++
• Run deep learning models with OpenCV's DNN module for image classification
• Process video streams for real‑time background subtraction and motion analysis

When to choose

• You need practical, step‑by‑step OpenCV examples in both Python and C++
• You want Jupyter notebooks that illustrate computer‑vision pipelines
• You are learning to integrate deep‑learning models with OpenCV's DNN API
• You require code that works across Linux, Windows, and macOS

When to avoid

• You need a production‑grade, fully tested computer‑vision library with formal API stability guarantees
• You are looking for a package manager or installable binary distribution rather than source examples
• Your project requires a non‑OpenCV based vision framework

Facets

library · maturity active

image-processing video-processing machine-learning deep-learning computer-vision deep-learning machine-learning artificial-intelligence python cpp windows tutorials example-code jupyter-notebook educational opencv linux macos

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markdown · JSON · MCP: product_card(name="spmallick/learnopencv")