LearnOpenCV

This repository contains code for Computer Vision, Deep learning, and AI research articles shared on our blog LearnOpenCV.com.

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List of Blog Posts

| Blog Post | Code| | ------------- |:-------------| | YOLO26 Instance Segmentation: Pixel-Perfect AI at Real-Time Speed | Code | | Multi-Object Tracking with Roboflow Trackers and OpenCV | Code | | Real-Time Face Blur and Pixelation with OpenCV YuNet | Code | | Breaking the Bottleneck: Achieving Native NMS-Free Inference with YOLO26 | Code | | YOLOv26: An Object Detector Built for Real-Time Deployment | Code | | Beyond Transformers: A Deep Dive into HOPE | | | Serving SGLang: Launch a Production-Style Server | | |Deployment on Edge: LLM Serving on Jetson using vLLM|Code| |Nested Learning: Is Deep Learning Architecture an Illusion?|| | How to Build a GitHub Code-Analyser Agent for Developer Productivity | Code | | The Existential Problems in LLM Serving | | | SAM 3D: Foundation Model for Single-Image 3D Reconstruction | | | SAM-3: What’s New, How It Works, and Why It Matters | Code | | Image-GS: Adaptive Image Reconstruction using 2D Gaussians | Code | | Ultimate Guide to Vector Databases and RAG Pipeline | Code | |What Makes DeepSeek OCR So Powerful|Code| | 2D Gaussian Splatting: Geometrically Accurate Radiance Field Reconstruction | Code | | TRM: Tiny Recursive Models | Code | |Deploying ML Models on Arduino: From Blink to Think|Code| | VideoRAG: Redefining Long-Context Video Comprehension | | | AI Agent in Action: Automating Desktop Tasks with VLMs | Code | | Top VLM Evaluation Metrics for Optimal Performance Analysis | Code | |Getting Started with VLM on Jetson Nano|Code| | VLM on Edge: Worth the Hype or Just a Novelty? | Code | | AnomalyCLIP : Harnessing CLIP for Weakly-Supervised Video Anomaly Recognition | Code | | AI_for_Video_Understanding_From_Content_Moderation_to_Summarization | Code | | Video-RAG: Training-Free Retrieval for Long-Video LVLMs | Code | | Object Detection and Spatial Understanding with VLMs ft. Qwen2.5-VL | Code | | LangGraph: Building Self-Correcting RAG Agent for Code Generation | Code | | Inside Sinusoidal Position Embeddings: A Sense of Order | Code | | Inside RoPE: Rotary Magic into Position Embeddings | Code | | SimLingo-Vision-Language-Action-Model-for-Autonomous-Driving | Code | | FineTuning Gemma 3n for Medical VQA on ROCOv2 | Code | | SmolLM3 Blueprint: SOTA 3B-Parameter LLM | | | LangGraph-A-Visual-Automation-and-Summarization-Pipeline | Code | | Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection | Code | | SigLIP 2: DeepMind’s Multilingual Vision-Language Model | | | MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More | Code | | Nanonets-OCR-s: Enabling Rich, Structured Markdown for Document Understanding | | | Optimizing VJEPA-2: Tackling Latency & Context in Real-Time Video Classification Scripts | Code | | V-JEPA 2: Meta’s Breakthrough in AI for the Physical World | Code | | NVIDIA Cosmos Reason1: Video Understanding | Code | | GR00T N1.5 Explained | | | LLaVA | Code | | SmolVLA: Affordable & Efficient VLA Robotics on Consumer GPUs | Code | | Fine-Tuning Grounding DINO: Open-Vocabulary Object Detection | Code | | Getting Started with Qwen3 – The Thinking Expert | Code | | [Inside the GPU: A Comprehensive Guide to Modern Graphics Architecture](https://learnopencv.com/modern-gpu-archit