spmallick/learnopencv

Project overview

spmallick/learnopencv provides code examples associated with computer vision, deep learning, and AI research articles. It serves developers and researchers looking for practical implementations of concepts discussed on the LearnOpenCV blog.

Project type

AI Coding · Image & Vision

Use cases

Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Developers and researchers seeking direct code implementations of computer vision and deep learning concepts discussed in related articles.

Key capabilities

• Provides code associated with computer vision research articles.
• Provides code associated with deep learning research articles, including a linked YOLO26 fine-tuning example.
• Includes a linked code example associated with Qwen3-VL embedding and reranker for multimodal search.

Limitations and risks

• GPU requirements, operating system compatibility, minimum hardware, database dependencies, and external services are currently undocumented.

Getting started

• Setup difficulty, potential obstacles, and the first success path are not documented.

Evidence and sources

• GitHub project description: Learn OpenCV : C++ and Python Examples
• README: This repository contains code for Computer Vision, Deep learning, and AI research articles shared on our blog [LearnOpenCV.com](https://www.LearnOpenCV.com).
• README: | [How to Fine-Tune YOLO26 for Safety Gear and Sign Language Detection](https://learnopencv.com/how-to-fine-tune-yolo26-for-safety-gear-and-sign-language-detection/) | [Code](http…
• README: | [How to Master Qwen3-VL Embedding and Reranker for Multimodal Search](https://learnopencv.com/how-to-master-qwen3-vl-embedding-and-reranker-for-multimodal-search/) | [Code](http…

Reviewed at: 2026-07-14T16:39:06Z