spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
This project provides practical code examples for various computer vision and AI tasks, helping you implement advanced techniques in your applications. You can take diverse inputs like images, video streams, or text and generate outputs such as object detections, blurred faces, or video anomaly reports. It's designed for engineers and researchers looking to apply state-of-the-art AI directly to real-world problems.
22,783 stars. Actively maintained with 42 commits in the last 30 days.
Use this if you need concrete, runnable code to implement modern computer vision, deep learning, or AI solutions in your projects, especially for tasks involving image analysis or video processing.
Not ideal if you are looking for a high-level API or a fully managed service, as this repository focuses on providing detailed code examples for direct implementation.
Stars
22,783
Forks
11,715
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 06, 2026
Commits (30d)
42
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/spmallick/learnopencv"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Recent Releases
Compare
Related frameworks
opencv/opencv
Open Source Computer Vision Library
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™