#2323rd of 28 in Learning and cookbooks
learnopencv
Code for LearnOpenCV blog tutorials on computer vision and deep learning
- Stars
- 23.2k
- License
- no license
- Last commit
- Oct 2026
- Last release
- Aug 2026
- Language
- Jupyter Notebook
Missed the latest GitHub check; these facts may be older.
Overview
Per-article code folders for the LearnOpenCV.com blog, mostly Jupyter notebooks plus Python and C++ examples. Topics run from classic OpenCV (contours, calibration, optical flow, homography) to YOLO26, RF-DETR, SAM 3, VLMs, RAG and edge deployment on Jetson and Arduino. Maintained by BigVision.AI, a consulting company.
Who it is for: Engineers learning computer vision and applied deep learning with OpenCV
Strengths
- Covers classic OpenCV and recent models (YOLO26, SAM 3, Qwen3-VL) in one repo
- Many tutorials provide both Python and C++ versions
- Each blog post links to its own code folder
- Active: last commit 2026-10-06, last release 2026-08-29
Weaknesses
- No license declared, so reuse terms are unclear
- Several recent posts list no code folder
- Each folder has its own dependencies; no shared environment or Docker setup
- Meant to be read alongside the blog, not used as a library
What it needs
- GPU optional
- Needs OpenCV, Python, C++
- Models: YOLO26, RF-DETR, SAM 3, Qwen3-VL, MiniCPM-o 4.5
Also in Learning and cookbooks
See all 28| Rank | Project | Score |
|---|---|---|
| 1 | ai-engineering-from-scratchHands-on AI engineering curriculum with 542 lessons across 20 phases | 86 out of 100 |
| 2 | generative-ai-for-beginners21-lesson course on building generative AI apps in Python and TypeScript | 81 out of 100 |
| 3 | hello-agentsChinese-language course on building LLM agents from scratch | 77 out of 100 |
| #4 | ai-agents-for-beginners18-lesson course on building AI agents with Microsoft Agent Framework | 77 out of 100 |
| #5 | llms-from-scratchCode for the book on building a GPT-style LLM in PyTorch | 76 out of 100 |