# LearnOpenCV This repository contains code for Computer Vision, Deep learning, and AI research articles shared on our blog [LearnOpenCV.com](https://www.LearnOpenCV.com). ---

Build Production-Ready Computer Vision & AI Solutions

## List of Blog Posts | Blog Post | Code| | ------------- |:-------------| | [VGGT vs. VGGT-Ω (VGGT-Omega): A Complete Guide to Feed-Forward 3D Reconstruction](https://learnopencv.com/vggt-vs-vggt-%cf%89-vggt-omega-a-complete-guide-to-feed-forward-3d-reconstruction/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VGGT-vs-VGGT-Omega-3D-Reconstruction) | | [MiniCPM-o 4.5: A 9B Model That Can See, Hear, and Speak at the Same Time](https://learnopencv.com/minicpm-o-4-5-a-9b-model-that-can-see-hear-and-speak-at-the-same-time/) | [Code](https://github.com/spmallick/learnopencv/tree/master/MiniCPM-o-4.5-Real-Time-Video-Understanding) | | [Object Tracking using OpenCV (C++/Python)](https://learnopencv.com/object-tracking-using-opencv-cpp-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/tracking) | | [Object Detection with OpenCV 5 in C++: YOLO26 Pose and Segmentation](https://learnopencv.com/opencv-5-cpp-object-detection-yolo26/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/opencv5-yolo26-football-cpp) | | [Read, Write and Display a Video using OpenCV](https://learnopencv.com/read-write-and-display-a-video-using-opencv-cpp-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/VideoReadWriteDisplay) | | [Histogram of Oriented Gradients Explained Using OpenCV](https://learnopencv.com/histogram-of-oriented-gradients/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Histogram-of-Oriented-Gradients) | | [Edge Detection Using OpenCV](https://learnopencv.com/edge-detection-using-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Edge-Detection-OpenCV) | | [Read, Display and Write an Image Using OpenCV](https://learnopencv.com/read-display-and-write-an-image-using-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Read-Write-Display-Image-OpenCV) | | [Cropping an Image Using OpenCV](https://learnopencv.com/cropping-an-image-using-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-Cropping-OpenCV) | | [Image Resizing with OpenCV](https://learnopencv.com/image-resizing-with-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-Resizing-OpenCV) | | [Filling Holes in an Image Using OpenCV (Python/C++)](https://learnopencv.com/filling-holes-in-an-image-using-opencv-python-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Holes) | | [Barcode and QR Code Scanner Using OpenCV](https://learnopencv.com/barcode-and-qr-code-scanner-using-zbar-and-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/barcode-QRcodeScanner) | | [OCR Text Recognition Using Tesseract and OpenCV](https://learnopencv.com/deep-learning-based-text-recognition-ocr-using-tesseract-and-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/OCR) | | [Color Spaces in OpenCV (C++ and Python)](https://learnopencv.com/color-spaces-in-opencv-cpp-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/ColorSpaces) | | [Human Pose Estimation with OpenCV (C++ and Python)](https://learnopencv.com/deep-learning-based-human-pose-estimation-using-opencv-cpp-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenPose) | | [Face Detection with OpenCV and Dlib (C++ and Python)](https://learnopencv.com/face-detection-opencv-dlib-and-deep-learning-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/FaceDetectionComparison) | | [Rotation Matrix to Euler Angles](https://learnopencv.com/rotation-matrix-to-euler-angles/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/RotationMatrixToEulerAngles) | | [Hough Transform with OpenCV (C++ and Python)](https://learnopencv.com/hough-transform-with-opencv-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Hough-Transform) | | [Otsu's Thresholding with OpenCV](https://learnopencv.com/otsu-thresholding-with-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/otsu-method) | | [Stereo Camera Depth Estimation with OpenCV (Python and C++)](https://learnopencv.com/depth-perception-using-stereo-camera-python-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Depth-Perception-Using-Stereo-Camera) | | [Understanding Lens Distortion](https://learnopencv.com/understanding-lens-distortion/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/UnderstandingLensDistortion) | | [Blob Detection Using OpenCV (Python, C++)](https://learnopencv.com/blob-detection-using-opencv-python-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/BlobDetector) | | [Homography Examples Using OpenCV (Python and C++)](https://learnopencv.com/homography-examples-using-opencv-python-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Homography) | | [Convex Hull Using OpenCV in Python and C++](https://learnopencv.com/convex-hull-using-opencv-in-python-and-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/ConvexHull) | | [Hu Moments for Shape Matching with OpenCV (Python and C++)](https://learnopencv.com/shape-matching-using-hu-moments-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/HuMoments) | | [BRISQUE Image Quality Assessment with OpenCV](https://learnopencv.com/image-quality-assessment-brisque/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/ImageMetrics) | | [Super Resolution in OpenCV](https://learnopencv.com/super-resolution-in-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Super-Resolution-in-OpenCV) | | [Augmented Reality Using ArUco Markers in OpenCV](https://learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/AugmentedRealityWithArucoMarkers) | | [Head Pose Estimation with OpenCV](https://learnopencv.com/head-pose-estimation-using-opencv-and-dlib/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/HeadPose) | | [Average Face with OpenCV: C++ and Python Tutorial](https://learnopencv.com/average-face-opencv-c-python-tutorial/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/FaceAverage) | | [Image Alignment with ECC in OpenCV: C++ and Python](https://learnopencv.com/image-alignment-ecc-in-opencv-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/ImageAlignment) | | [Monocular SLAM in Python with OpenCV](https://learnopencv.com/monocular-slam-in-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Monocular%20SLAM%20for%20Robotics%20implementation%20in%20python) | | [OpenCV QR Code Scanner in C++ and Python](https://learnopencv.com/opencv-qr-code-scanner-c-and-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/QRCode-OpenCV) | | [Optical Flow in OpenCV: Sparse and Dense Methods](https://learnopencv.com/optical-flow-in-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Optical-Flow-in-OpenCV) | | [CNN-Based Image Colorization with OpenCV DNN](https://learnopencv.com/convolutional-neural-network-based-image-colorization-using-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Colorization) | | [Snake Game with OpenCV and Python](https://learnopencv.com/snake-game-with-opencv-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/SnakeGame) | |[Delaunay Triangulation and Voronoi Diagram using OpenCV ( C++ / Python)](http://www.learnopencv.com/delaunay-triangulation-and-voronoi-diagram-using-opencv-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Delaunay) | | [Contour Detection using OpenCV (Python/C++)](https://learnopencv.com/contour-detection-using-opencv-python-c/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/Contour-Detection-using-OpenCV) | | [Feature Based Image Alignment using OpenCV (C++/Python)](https://learnopencv.com/image-alignment-feature-based-using-opencv-c-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/ImageAlignment-FeatureBased) | | [Video Stabilization Using Point Feature Matching in OpenCV](https://learnopencv.com/video-stabilization-using-point-feature-matching-in-opencv/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/VideoStabilization) | |[Camera Calibration using OpenCV](https://learnopencv.com/camera-calibration-using-opencv/) [Updated] |[Code](https://github.com/spmallick/learnopencv/tree/master/CameraCalibration)| |[Find the Center of a Blob (Centroid) using OpenCV (C++/Python)](https://learnopencv.com/find-center-of-blob-centroid-using-opencv-cpp-python/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/CenterofBlob)| | [How to find frame rate or frames per second (fps) in OpenCV ( Python / C++ ) ?](https://learnopencv.com/how-to-find-frame-rate-or-frames-per-second-fps-in-opencv-python-cpp/) [Updated] | [Code](https://github.com/spmallick/learnopencv/tree/master/FPS) | | [Install OpenCV 5 on Linux](https://learnopencv.com/install-opencv-5-linux/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Install-OpenCV-5-on-Linux) | | [Decoding Virat Kohli's Flick Shot: AI-Based 3D Motion Reconstruction](https://learnopencv.com/decoding-virat-kohlis-flick-shot-ai-based-3d-motion-reconstruction/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Decoding-Virats-Flick-Shot) | | [How to Run Object Detection with OpenCV 5](https://learnopencv.com/how-to-run-object-detection-with-opencv-5/) | | | [World Cup 2026 Offside Technology: AI, Computer Vision, and the Connected Ball](https://learnopencv.com/world-cup-2026-offside-technology/) | | | [AI Aced JEE Advanced 2026. Can You Trust It to Teach You?](https://learnopencv.com/ai-aced-jee-advanced-2026-can-you-trust-it-to-teach-you/) | | | [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](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-YOLO26-Models-Custom-Dataset) | | [How to Unlock 5 Vision Skills with the Moondream Cloud API](https://learnopencv.com/moondream-cloud-api-one-image-five-grounded-vision-skills/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Moondream-Cloud-API) | | [JEE Advanced 2026: We Tested AI on the Toughest Exam](https://learnopencv.com/jee-advanced-2026-we-tested-ai-on-the-toughest-exam/) | | | [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](https://github.com/spmallick/learnopencv/tree/master/Qwen3-VL-Embedding-Reranker) | | [How to Master YOLOE: Real-Time Open-Vocabulary Detection Made Easy](https://learnopencv.com/yoloe-tutorial-real-time-open-vocabulary-detection/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOE-Real-Time-Seeing-Anything) | | [Vision Banana: How Image Generators Are Becoming Powerful Vision Models](https://learnopencv.com/vision-banana-explained/) | | | [YOLO26 Keypoint Estimation: Real-Time Pose Estimation with Ultralytics](https://learnopencv.com/yolo26-pose-estimation-tutorial/) | [Code](https://github.com/Sudip-329/learnopencv/tree/master/YOLO26_Keypoint_Estimation) | | [RF-DETR Segmentation: Real-Time Detection & Instance Segmentation Guide](https://learnopencv.com/rf-detr-segmentation-real-time-detection-instance-segmentation-guide/) | [Code](https://github.com/spmallick/learnopencv/tree/master/RF_DETR_Segmentation_Demo) | | [YOLO26 Instance Segmentation: Pixel-Perfect AI at Real-Time Speed](https://learnopencv.com/yolo26-instance-segmentation-pixel-perfect-ai-at-real-time-speed/) | [Code](YOLO26-instance-segmentation/) | | [Multi-Object Tracking with Roboflow Trackers and OpenCV](https://learnopencv.com/multi-object-tracking-with-roboflow-trackers-and-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Roboflow_Trackers_Demo) | | [Real-Time Face Blur and Pixelation with OpenCV YuNet](https://learnopencv.com/face-blur-pixelation-opencv-yunet/) | [Code](https://github.com/spmallick/learnopencv/tree/master/FaceBlurPixelate) | | [Breaking the Bottleneck: Achieving Native NMS-Free Inference with YOLO26](https://learnopencv.com/yolo26-nms-free-inference/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO26-NMS-Free-Demo) | | [YOLOv26: An Object Detector Built for Real-Time Deployment](https://learnopencv.com/yolov26-real-time-deployment/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Inference_RF-DETR_YOLO26_RT-DETR) | | [Beyond Transformers: A Deep Dive into HOPE](https://learnopencv.com/hope-beyond-transformers/) | | | [Serving SGLang: Launch a Production-Style Server](https://learnopencv.com/sglang-a-production-server/) | | |[Deployment on Edge: LLM Serving on Jetson using vLLM](https://learnopencv.com/deployment-on-edge-vllm-on-jetson/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Deployment-on-Edge-LLM-Serving-on-Jetson-using-vLLM)| |[Nested Learning: Is Deep Learning Architecture an Illusion?](https://learnopencv.com/nested-learning/)|| | [How to Build a GitHub Code-Analyser Agent for Developer Productivity](https://learnopencv.com/how-to-build-a-github-code-analyser-agent/) | [Code](https://github.com/spmallick/learnopencv/tree/master/How_to_Build_a_GitHub_Code_Analyser_Agent_for_Developer_Productivity) | | [The Existential Problems in LLM Serving](https://learnopencv.com/the-existential-problems-in-llm-serving/) | | | [SAM 3D: Foundation Model for Single-Image 3D Reconstruction](https://learnopencv.com/sam-3d/) | | | [SAM-3: What’s New, How It Works, and Why It Matters](https://learnopencv.com/sam-3-whats-new/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SAM-3) | | [Image-GS: Adaptive Image Reconstruction using 2D Gaussians](https://learnopencv.com/image-gs-image-reconstruction-using-2d-gaussians/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Image_GS_Adaptive_Image_Reconstruction_using_2D_Gaussians) | | [Ultimate Guide to Vector Databases and RAG Pipeline](https://learnopencv.com/vector-db-and-rag-pipeline-for-document-rag/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Ultimate_Guide_to_Vector_Databases_and_RAG_pipeline) | |[What Makes DeepSeek OCR So Powerful](https://learnopencv.com/what-makes-deepseek-ocr-so-powerful/)|[Code](https://github.com/spmallick/learnopencv/tree/master/What-Makes-DeepSeek-OCR-So-Powerful)| | [2D Gaussian Splatting: Geometrically Accurate Radiance Field Reconstruction](https://learnopencv.com/2d-gaussian-splatting-2dgs/) | [Code](https://github.com/spmallick/learnopencv/tree/master/2D_Gaussian_Splatting_Geometrically_Accurate_Radiance_Field_Reconstruction) | | [TRM: Tiny Recursive Models](https://learnopencv.com/trm-tiny-ai-models-outsmarting-giants-on-complex-puzzles/) | [Code](https://github.com/spmallick/learnopencv/tree/master/TRM) | |[Deploying ML Models on Arduino: From Blink to Think](https://learnopencv.com/deploying-ml-on-arduino/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Deploying-ML-Models-on-Arduino-From-Blink-to-Think)| | [VideoRAG: Redefining Long-Context Video Comprehension](https://learnopencv.com/videorag-long-context-video-comprehension/) | | | [AI Agent in Action: Automating Desktop Tasks with VLMs](https://learnopencv.com/build-ai-agents-using-vlm/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Local-VLM-Agents-in-Action-GUI-Automation-with-Moondream3-and-Gemini) | | [Top VLM Evaluation Metrics for Optimal Performance Analysis](https://learnopencv.com/vlm-evaluation-metrics/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VLM_Evaluation_Metrics) | |[Getting Started with VLM on Jetson Nano](https://learnopencv.com/vlm-on-jetson-nano/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Getting-Started-with-VLM-on-Jetson-Nano)| | [VLM on Edge: Worth the Hype or Just a Novelty?](https://learnopencv.com/vlm-on-edge-devices/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VLM-on-Edge-Worth-the-Hype-or-Just-a-Novelty) | | [AnomalyCLIP : Harnessing CLIP for Weakly-Supervised Video Anomaly Recognition](https://learnopencv.com/anomalyclip-video-anomaly-recognition/) | [Code](https://github.com/spmallick/learnopencv/tree/master/AnomalyCLIP_Harnessing_CLIP_for_Weakly_Supervised_Video_Anomaly_Recognition) | | [AI_for_Video_Understanding_From_Content_Moderation_to_Summarization](https://learnopencv.com/ai-for-video-understanding/) | [Code](https://github.com/spmallick/learnopencv/tree/master/AI_for_Video_Understanding_From_Content_Moderation_to_Summarization) | | [Video-RAG: Training-Free Retrieval for Long-Video LVLMs](https://learnopencv.com/video-rag-for-long-videos/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Video-RAG_Training_Free_Retrieval_for_Long_Video_LVLMs) | | [Object Detection and Spatial Understanding with VLMs ft. Qwen2.5-VL](https://learnopencv.com/object-detection-with-vlms-ft-qwen2-5-vl/) | [Code](https://github.com/spmallick/learnopencv/tree/master/object-detection-with-vlms) | | [LangGraph: Building Self-Correcting RAG Agent for Code Generation](https://learnopencv.com/langgraph-self-correcting-agent-code-generation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/LangGraph_Building_Self_Correcting_RAG_Agent_for_Code_Generation) | | [Inside Sinusoidal Position Embeddings: A Sense of Order](https://learnopencv.com/sinusoidal-position-embeddings/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Sinusoidal_Position_Embeddings) | | [Inside RoPE: Rotary Magic into Position Embeddings](https://learnopencv.com/rope-position-embeddings/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Inside_RoPE_Position_Embeddings) | | [SimLingo-Vision-Language-Action-Model-for-Autonomous-Driving](https://learnopencv.com/simlingo-vision-language-action-model-for-autonomous-driving/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SimLingo-Vision-Language-Action-Model-for-Autonomous-Driving) | | [FineTuning Gemma 3n for Medical VQA on ROCOv2](https://learnopencv.com/finetuning-gemma-3n-medical-vqa/) | [Code](https://github.com/spmallick/learnopencv/tree/master/finetuning-gemma3n) | | [SmolLM3 Blueprint: SOTA 3B-Parameter LLM](https://learnopencv.com/smollm3-explained/) | | | [LangGraph-A-Visual-Automation-and-Summarization-Pipeline](https://learnopencv.com/langgraph-building-a-visual-web-browser-agent/) | [Code](https://github.com/spmallick/learnopencv/tree/master/LangGraph-A-Visual-Automation-and-Summarization-Pipeline) | | [Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection](https://learnopencv.com/fine-tuning-anomalyclip-medical-anomaly-clip/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-AnomalyCLIP) | | [SigLIP 2: DeepMind’s Multilingual Vision-Language Model](https://learnopencv.com/siglip-2-deepminds-multilingual-vision-language-model/) | | | [MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More](https://learnopencv.com/medgemma-explained/) | [Code](https://github.com/spmallick/learnopencv/tree/master/medgemma) | | [Nanonets-OCR-s: Enabling Rich, Structured Markdown for Document Understanding](https://learnopencv.com/nanonets-ocr-s/) | | | [Optimizing VJEPA-2: Tackling Latency & Context in Real-Time Video Classification Scripts](https://learnopencv.com/optimizing-vjepa-2-in-real-time-video-classification/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VJEPA-2-Video-Classification) | | [V-JEPA 2: Meta’s Breakthrough in AI for the Physical World](https://learnopencv.com/?p=73731&preview_id=73731&preview_nonce=beb70ccf8e&preview=true#heading-7) | [Code](https://github.com/spmallick/learnopencv/tree/master/V-JEPA-2) | | [NVIDIA Cosmos Reason1: Video Understanding](https://learnopencv.com/cosmos-reason-vlm-video-vqa/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Cosmos-Reason1-Video-Understanding) | | [GR00T N1.5 Explained](https://learnopencv.com/gr00t-n1_5-explained/) | | | [LLaVA](https://learnopencv.com/llava-training-a-visual-assistant/) | [Code](https://github.com/spmallick/learnopencv/tree/master/LLaVA) | | [SmolVLA: Affordable & Efficient VLA Robotics on Consumer GPUs](https://learnopencv.com/smolvla-lerobot-vision-language-action-model/) | [Code](https://github.com/spmallick/learnopencv/tree/master/smolvla) | | [Fine-Tuning Grounding DINO: Open-Vocabulary Object Detection](https://learnopencv.com/fine-tuning-grounding-dino/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-Grounding-DINO-Open-Vocabulary-Object-Detection) | | [Getting Started with Qwen3 – The Thinking Expert](https://learnopencv.com/qwen3/) | [Code](https://github.com/spmallick/learnopencv/tree/master/qwen3) | | [Inside the GPU: A Comprehensive Guide to Modern Graphics Architecture](https://learnopencv.com/modern-gpu-architecture-explained/) | | | [Distributed Parallel Training: PyTorch](https://learnopencv.com/distributed-parallel-training-pytorch-multi-gpu-setup/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Distributed-Training-PyTorch) | | [MONAI: The Definitive Framework for Medical Imaging Powered by PyTorch](https://learnopencv.com/monai-medical-imaging-pytorch/) | | | [SANA-Sprint: The One-Step Revolution in High-Quality AI Image Synthesis](https://learnopencv.com/sana-sprint-the-one-step-revolution-in-high-quality-ai-image-synthesis/) | | | [FramePack-Video-Diffusion-but-feels-like-Image-Diffusion](https://learnopencv.com/framepack-video-diffusion/) | [Code](https://github.com/spmallick/learnopencv/tree/master/FramePack-Video-Diffusion-but-feels-like-Image-Diffusion) | | [Model Weights File Formats in Machine Learning](https://learnopencv.com/model-weights-file-formats-in-machine-learning/) | | | [Unsloth: A Guide from Basics to Fine-Tuning Vision Models](https://learnopencv.com/unsloth-guide-efficient-llm-fine-tuning/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Unsloth_A_Guide_From_Basics_to_Fine_Tuning_Vision_Models) | | [Iterative Closest Point (ICP) Algorithm Explained](https://learnopencv.com/iterative-closest-point-icp-explained/) | [Code](https://github.com/spmallick/learnopencv/blob/master/Iterative-Closest-Point-ICP) | | [MedSAM2 Explained: One Prompt to Segment Anything in Medical Imaging](https://learnopencv.com/medsam2-explained/) | [Code](https://github.com/spmallick/learnopencv/blob/master/medsam2-explained) | | [Batch Normalization and Dropout as Regularizers](https://learnopencv.com/batch-normalization-and-dropout-as-regularizers/) | | | [DINOv2_by_Meta_A_Self-Supervised_foundational_vision_model](https://learnopencv.com/dinov2-self-supervised-vision-transformer/) | [Code](https://github.com/spmallick/learnopencv/blob/master/DINOv2_by_Meta_A_Self-Supervised_foundational_vision_model) | | [Beginner's Guide to Embedding Models](https://learnopencv.com/embedding-models-explained/) | | | [MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors](https://learnopencv.com/mast3r-slam-realtime-dense-slam-explained/) | [Code](https://github.com/spmallick/learnopencv/blob/master/MASt3R-SLAM) | | [Google's A2A Protocol](https://learnopencv.com/googles-a2a-protocol-heres-what-you-need-to-know/) | | | [Nvidia SANA : Faster Image Generation](https://learnopencv.com/nvidia-sana-image-generation-model/) | | | [Fine-tuning RF-DETR](https://learnopencv.com/rf-detr-object-detection/) | [Code](https://github.com/spmallick/learnopencv/blob/master/Fine-tuning-RF-DETR) | | [Qwen2.5-Omni: A Real-Time Multimodal AI](https://learnopencv.com/qwen2.5-omni/) | | | [Vision Language Action Models: Robotic Control](https://learnopencv.com/vision-language-action-models-lerobot-policy/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Vision-Language-Action-Models) | | [Fine-Tuning Gemma 3 VLM using QLoRA for LaTeX-OCR Dataset](https://learnopencv.com/fine-tuning-gemma-3/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-Gemma-3-VLM-using-QLoRA-for-LaTeX-OCR-Dataset) | | [ComfyUI](https://learnopencv.com/introduction-to-comfyui-for-stable-diffusion/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ComfyUI) | | [Gemma-3: A Comprehensive Introduction](https://learnopencv.com/gemma-3/) | | | [YOLO11 on Raspberry Pi: Optimizing Object Detection for Edge Devices](https://learnopencv.com/yolo11-on-raspberry-pi/) | [Code](https://github.com/spmallick/learnopencv/tree/master/yolo11-on-raspberry-pi) | | [VGGT: Visual Geometry Grounded Transformer – For Dense 3D Reconstruction](https://learnopencv.com/vggt-visual-geometry-grounded-transformer-3d-reconstruction/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VGGT-3D-Reconstruction) | | [DDIM: The Faster, Improved Version of DDPM for Efficient AI Image Generation](https://learnopencv.com/understanding-ddim/) | [Code](https://github.com/spmallick/learnopencv/tree/master/DDIM-The-Faster-Improved-Version-of-DDPM-for-Efficient-AI-Image-Generation) | | [Introduction to Model Context Protocol (MCP)](https://learnopencv.com/introduction-to-model-context-protocol/) | | | [MASt3R and MASt3R-SfM Explanation: Image Matching and 3D Reconstruction](https://learnopencv.com/mast3r-sfm-grounding-image-matching-3d/) | [Code](https://github.com/spmallick/learnopencv/tree/master/MASt3R-SfM-3D-Reconstruction-Image-Matching) | | [MatAnyone Explained: Consistent Memory for Better Video Matting](https://learnopencv.com/matanyone-for-better-video-matting/) | [Code](https://github.com/spmallick/learnopencv/tree/master/MatAnyone-Explained-Consistent-Memory-for-Better-Video-Matting) | | [GraphRAG: For Medical Document Analysis](https://learnopencv.com/graphrag-explained-knowledge-graphs-medical/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Graphrag-Medical-Document-Analysis) | | [OmniParser: Vision Based GUI Agent](https://learnopencv.com/omniparser-vision-based-gui-agent/) | | | [Fine-Tuning-YOLOv12-Comparison-With-YOLOv11-And-YOLOv7-Based-Darknet](https://learnopencv.com/fine-tuning-yolov12/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-YOLOv12-Comparison-With-YOLOv11-And-YOLOv7-Based-Darknet) | | [FineTuning RetinaNet for Wildlife Detection with PyTorch: A Step-by-Step Tutorial](https://learnopencv.com/finetuning-retinanet) | [Code](https://github.com/spmallick/learnopencv/tree/master/finetuning-retinanet) | | [DUSt3R: Geometric 3D Vision Made Easy : Explanation and Results](https://learnopencv.com/dust3r-geometric-3d-vision/) | [Code](https://github.com/spmallick/learnopencv/tree/master/DUSt3R-Dense-3D-Reconstruction) | | [YOLOv12: Attention Meets Speed](https://learnopencv.com/yolov12) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv12) | | [Video Generation: A Diffusion based approach](https://learnopencv.com/video-generation-models/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Video-Generation-A-Diffusion-based-approach) | | [Agentic AI: A Comprehensive Introduction](https://learnopencv.com/agentic-ai/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Agentic-AI-A-Comprehensive-Introduction) | | [Finetuning SAM2 for Leaf Disease Segmentation](https://learnopencv.com/finetuning-sam2/) | [Code](https://github.com/spmallick/learnopencv/tree/master/finetuning-sam2) | | [Object Insertion in Gaussian Splatting: Paper Explained and Training Code for MCMC and Bilateral Grid](https://learnopencv.com/object-insertion-in-gaussian-splatting/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Object-Insertion-in-Gaussian-Splatting) | | [Depth Pro: Sharp Monocular Metric Depth](https://learnopencv.com/depth-pro-monocular-metric-depth) | [Code](https://github.com/spmallick/learnopencv/tree/master/DepthPro-Monocular-Metric-Depth) | | [Fine-tuning-Stable-Diffusion-3_5-UI-images](https://learnopencv.com/fine-tuning-stable-diffusion-3-5m/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-tuning-Stable-Diffusion-3_5-UI-images) | | [SimSiam: Streamlining SSL with Stop-Gradient Mechanism](https://learnopencv.com/simsiam/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SimSiam-Streamlining-SSL-with-Stop-Gradient-Mechanism) | | [Image Captioning using ResNet and LSTM](https://learnopencv.com/image-captioning/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-Captioning-using-ResNet-and-LSTM) | | [Molmo VLM: Paper Explanation and Demo](https://learnopencv.com/molmo-vlm) | [Code](https://github.com/spmallick/learnopencv/tree/master/Molmo-VLM-SAM2) | | [3D Gaussian Splatting Paper Explanation: Training Custom Datasets with NeRF-Studio Gsplats](https://learnopencv.com/3d-gaussian-splatting/) | [Code](https://github.com/spmallick/learnopencv/tree/master/3D-Gaussian-Splatting-Code) | | [FLUX Image Generation: Experimenting with the Parameters](https://learnopencv.com/flux-ai-image-generator/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Flux-Image-Generation) | | [Contrastive-Learning-SimCLR-and-BYOL(With Code Example)](https://learnopencv.com/contrastive-learning-simclr-and-byol-with-code-example/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Contrastive-Learning-SimCLR-and-BYOL) | | [The Annotated NeRF : Training on Custom Dataset from Scratch in Pytorch](https://learnopencv.com/annotated-nerf-pytorch/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Annotated-NeRF) | | [Stable Diffusion 3 and 3.5: Paper Explanation and Inference](https://learnopencv.com/stable-diffusion-3/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Stable-Diffusion-3) | | [LightRAG - Legal Document Analysis](https://learnopencv.com/lightrag/) | [Code](https://github.com/spmallick/learnopencv/tree/master/LightRAG-Legal) | | [NVIDIA AI Summit 2024 – India Overview](https://learnopencv.com/nvidia-ai-summit-2024-india-overview/) | | | [Introduction to Speech to Speech: Most Efficient Form of NLP](https://learnopencv.com/speech-to-speech/) | [Code](https://github.com/spmallick/learnopencv/tree/master/speech-to-speech) | | [Training 3D U-Net for Brain Tumor Segmentation (BraTS-GLI)](https://learnopencv.com/3d-u-net-brats/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Training_3D_U-Net_Brain_Tumor_Seg) | | [DETR: Overview and Inference](https://learnopencv.com/detr-overview-and-inference/) | [Code](https://github.com/spmallick/learnopencv/tree/master/DETR-Overview_and_Inference) | | [YOLO11: Faster Than You Can Imagine!](https://learnopencv.com/yolo11/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO11) | | [Exploring DINO: Self-Supervised Transformers for Road Segmentation with ResNet50 and U-Net](https://learnopencv.com/fine-tune-dino-self-supervised-learning-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Exploring-DINO-dino-road-segmentation) | | [Sapiens: Foundation for Human Vision Models by Meta](https://learnopencv.com/sapiens-human-vision-models) | [Code](https://github.com/spmallick/learnopencv/tree/master/Sapiens-Human-Vision-Model-Meta) | | [Multimodal RAG with ColPali and Gemini](https://learnopencv.com/multimodal-rag-with-colpali) | [Code](https://github.com/spmallick/learnopencv/tree/master/Multimodal-RAG-with-ColPali-Gemini) | | [Building Autonomous Vehicle in Carla: Path Following with PID Control & ROS 2](https://learnopencv.com/pid-controller-ros-2-carla/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Building_Autonomous_Vehicle_in_Carla_Path_Following_with_PID_Control_ROS2) | | [Handwritten Text Recognition using OCR](https://learnopencv.com/handwritten-text-recognition-using-ocr/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Handwritten_Text_Recognition_using_OCR) | | [Training CLIP from Sratch for Image Retrieval](https://learnopencv.com/clip-model) | [Code](https://github.com/spmallick/learnopencv/tree/master/Training-CLIP-from-Scratch-for-Image-Retrieval) | | [Introduction to LiDAR SLAM: LOAM and LeGO-LOAM Paper and Code Explanation with ROS 2 Implementation](https://learnopencv.com/lidar-slam-with-ros2) | [Code](https://github.com/spmallick/learnopencv/tree/master/LeGO-LOAM-ROS2) | | [Recommendation System using Vector Search](https://learnopencv.com/recommendation-system-using-vector-search) | [Code](https://github.com/spmallick/learnopencv/tree/master/Recommendation-System-using-Vector-Search) | | [Fine Tuning Whisper on Custom Dataset](https://learnopencv.com/fine-tuning-whisper-on-custom-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-Whisper-on-Custom-Dataset) | | [SAM 2 – Promptable Segmentation for Images and Videos](https://learnopencv.com/sam-2/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SAM_2_Segment_Anything_Model_2) | | [Introduction to Feature Matching Using Neural Networks](https://learnopencv.com/feature-matching/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Feature-Matching-Using-Neural-Networks) | | [Introduction to ROS2 (Robot Operating System 2): Tutorial on ROS2 Working, DDS, ROS1 RMW, Topics, Nodes, Publisher, Subscriber in Python](https://learnopencv.com/robot-operating-system-introduction) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-ROS2-in-python) | | [CVPR 2024 Research Papers - Part- 2](https://learnopencv.com/cvpr-2024-research-papers) | [Code](https://github.com/spmallick/learnopencv/tree/master/cvpr-2024-research-papers-part2) | | [CVPR 2024: An Overview and Key Papers](https://learnopencv.com/cvpr2024/) | [Code](https://github.com/spmallick/learnopencv/tree/master/CVPR-2024) | | [Object Detection on Edge Device - OAK-D-Lite](https://learnopencv.com/object-detection-on-edge-device) | [Code](https://github.com/spmallick/learnopencv/tree/master/Object-Detection-on-Edge-Devices) | | [Fine-Tuning YOLOv10 Models on Custom Dataset](https://learnopencv.com/fine-tuning-yolov10/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-YOLOv10-Models-Custom-Dataset) | | [ROS2 and Carla Setup Guide for Ubuntu 22.04](https://learnopencv.com/ros2-and-carla-setup-guide/) | | | [Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal](https://learnopencv.com/u2-net-image-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Efficient-Background-Removal-using-U2-Net) | | [YOLOv10: The Dual-Head OG of YOLO Series](https://learnopencv.com/yolov10/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv10) | | [Fine-tuning Faster R-CNN on Sea Rescue Dataset](https://learnopencv.com/fine-tuning-faster-r-cnn/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-tuning-Faster-R-CNN-on-SeaRescue-Dataset) | | [Mastering Recommendation System: A Complete Guide](https://learnopencv.com/recommendation-system/) | | | [Automatic Speech Recognition with Diarization : Speech-to-Text](https://learnopencv.com/automatic-speech-recognition/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Automatic-Speech-Recognition-with-Diarization-Speech-to-Text) | | [Building MobileViT Image Classification Model from Scratch In Keras 3](https://learnopencv.com/mobilevit-keras-3/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Building%20MobileViT%20from%20Scratch%20in%20Keras%203) | | [SDXL Inpainting: Fusing Image Inpainting with Stable Diffusion](https://learnopencv.com/sdxl-inpainting/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SDXL-inpainting) | | [YOLOv9 Instance Segmentation on Medical Dataset](https://learnopencv.com/yolov9-instance-segmentation-on-medical-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv9-Instance-Segmentation-on-Medical-Dataset) | | [A Comprehensive Guide to Robotics](https://learnopencv.com/a-comprehensive-guide-to-robotics/) | | | [Integrating Gradio with OpenCV DNN](https://learnopencv.com/integrating-gradio-with-opencv-dnn/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Integrating-Gradio-with-OpenCV-DNN) | | [Fine-Tuning YOLOv9 on Custom Dataset](https://learnopencv.com/fine-tuning-yolov9/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-YOLOv9-Models-Custom-Dataset) | | [Dreambooth using Diffusers](https://learnopencv.com/dreambooth-using-diffusers/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Dreambooth_using_Diffusers) | | [Introduction to Hugging Face Diffusers](https://learnopencv.com/hugging-face-diffusers/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction_to_Diffusers) | | [Introduction to Ultralytics Explorer API](https://learnopencv.com/ultralytics-explorer-api/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-Ultralytics-Explorer-API) | | [YOLOv9: Advancing the YOLO Legacy](https://learnopencv.com/yolov9-advancing-the-yolo-legacy/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv9-Advancing-the-YOLO-Legacy) | | [Fine-Tuning LLMs using PEFT](https://learnopencv.com/fine-tuning-llms-using-peft/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-LLMs-using-PEFT) | | [Depth Anything: Accelerating Monocular Depth Perception](https://learnopencv.com/deciphering-llms/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Depth-Anything) | | [Deciphering LLMs: From Transformers to Quantization](https://learnopencv.com/deciphering-llms/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Deciphering-LLMs) | | [YOLO Loss Function Part 2: GFL and VFL Loss](https://learnopencv.com/yolo-loss-function-gfl-vfl-loss/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO-Loss-Functions-Part2) | | [YOLOv8-Object-Tracking-and-Counting-with-OpenCV](https://learnopencv.com/yolov8-object-tracking-and-counting-with-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv8-Object-Tracking-and-Counting-with-OpenCV) | | [Stereo Vision in ADAS: Pioneering Depth Perception Beyond LiDAR](https://learnopencv.com/adas-stereo-vision/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ADAS-Stereo-Vision) | | [YOLO Loss Function Part 1: SIoU and Focal Loss](https://learnopencv.com/yolo-loss-function-siou-focal-loss/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO-Loss-Functions-Part1) | | [Moving Object Detection with OpenCV](https://learnopencv.com/moving-object-detection-with-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Moving-Object-Detection-with-OpenCV) | | [Integrating ADAS with Keypoint Feature Pyramid Network for 3D LiDAR Object Detection](https://learnopencv.com/3d-lidar-object-detection/) | [Code](https://www.dropbox.com/scl/fi/3n1s68jtfkjmw2f5e5ctv/3D-LiDAR-Object-Detection.zip?rlkey=d8q6xvlxis4oxso4qki87omvc&dl=1) | | [Mastering All YOLO Models from YOLOv1 to YOLO-NAS: Papers Explained (2024)](https://learnopencv.com/mastering-all-yolo-models) | | | [GradCAM: Enhancing Neural Network Interpretability in the Realm of Explainable AI](https://learnopencv.com/intro-to-gradcam/) | [Code](https://www.dropbox.com/scl/fo/3p3sg5fnvhrvi9vp00i0w/h?rlkey=1x01uz5o7esex7p6c8r534iyn&dl=1) | | [Text Summarization using T5: Fine-Tuning and Building Gradio App](https://learnopencv.com/text-summarization-using-t5/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Text-Summarization-using-T5-Fine-Tuning-and-Building-Gradio-App) | | [3D LiDAR Visualization using Open3D: A Case Study on 2D KITTI Depth Frames for Autonomous Driving](https://learnopencv.com/3d-lidar-visualization/) | [Code](https://github.com/spmallick/learnopencv/tree/master/3D-LiDAR-Perception) | | [Fine Tuning T5: Text2Text Transfer Transformer for Building a Stack Overflow Tag Generator](https://learnopencv.com/fine-tuning-t5/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-T5-Text2Text-Transformer-for-Strack-Overflow-Tag-Generation) | | [SegFormer 🤗 : Fine-Tuning for Improved Lane Detection in Autonomous Vehicles](https://learnopencv.com/segformer-fine-tuning-for-lane-detection) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-SegFormer-For-Lane-Detection) | | [Fine-Tuning BERT using Hugging Face Transformers](https://learnopencv.com/fine-tuning-bert) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-BERT-using-Hugging-Face-Transformers) | | [YOLO-NAS Pose](https://learnopencv.com/yolo-nas-pose) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose) | | [BERT: Bidirectional Encoder Representations from Transformers](https://learnopencv.com/bert-bidirectional-encoder-representations-from-transformers/) | [Code](https://github.com/spmallick/learnopencv/tree/master/BERT-Bidirectional-Encoder-Representations-from-Transformers) | | [Comparing KerasCV YOLOv8 Models on the Global Wheat Data 2020](https://learnopencv.com/comparing-kerascv-yolov8-models/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Comparing-KerasCV-YOLOv8-Models-on-the-Global-Wheat-Data-2020) | | [Top 5 AI papers of September 2023](https://learnopencv.com/top-5-ai-papers-of-september-2023/) | | | [Empowering Drivers: The Rise and Role of Advanced Driver Assistance Systems](https://learnopencv.com/advanced-driver-assistance-systems/) | | | [Semantic Segmentation using KerasCV DeepLabv3+](https://learnopencv.com/kerascv-deeplabv3-plus-semantic-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Semantic-Segmentation-using-KerasCV-with-DeepLabv3-Plus) | | [Object Detection using KerasCV YOLOv8](https://learnopencv.com/object-detection-using-kerascv-yolov8/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Object-Detection-using-KerasCV-YOLOv8) | | [Fine-tuning YOLOv8 Pose Models for Animal Pose Estimation](https://learnopencv.com/animal-pose-estimation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-tuning-YOLOv8-Pose-Models-for-Animal-Pose-Estimation) | | [Top 5 AI papers of August 2023](https://learnopencv.com/top-5-ai-papers-of-august-2023/) | | | [Fine Tuning TrOCR - Training TrOCR to Recognize Curved Text](https://learnopencv.com/fine-tuning-trocr-training-trocr-to-recognize-curved-text/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-TrOCR) | | [TrOCR - Getting Started with Transformer Based OCR](https://learnopencv.com/trocr-getting-started-with-transformer-based-ocr/) | [Code](https://github.com/spmallick/learnopencv/tree/master/TrOCR-Getting-Started-with-Transformer-Based-OCR) | | [Facial Emotion Recognition](https://learnopencv.com/facial-emotion-recognition/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Facial-Emotion-Recognition) | | [Object Keypoint Similarity in Keypoint Detection](https://learnopencv.com/object-keypoint-similarity/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Object-Keypoint-Similarity-in-Keypoint-Detection) | | [Real Time Deep SORT with Torchvision Detectors](https://learnopencv.com/real-time-deep-sort-with-torchvision-detectors/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Real_Time_Deep_SORT_using_Torchvision_Detectors) | | [Top 5 AI papers of July 2023](https://learnopencv.com/top-5-ai-papers-of-july-2023/) | | | [Medical Image Segmentation](https://learnopencv.com/medical-image-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Medical-Image-Segmentation-Using-HuggingFace-&-PyTorch) | | [Weighted Boxes Fusion in Object Detection: A Comparison with Non-Maximum Suppression](https://learnopencv.com/weighted-boxes-fusion/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Weighted-Boxes-Fusion-in-Object-Detection) | | [Medical Multi-label Classification with PyTorch & Lightning](https://learnopencv.com/medical-multi-label/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Medical_Multi-label_Classification_with_PyTorch_&_Lightning) | | [Getting Started with PaddlePaddle: Exploring Object Detection, Segmentation, and Keypoints](https://learnopencv.com/paddlepaddle/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-PaddlePaddle) | | [Drone Programming With Computer Vision A Beginners Guide](https://learnopencv.com/drone-programming-with-computer-vision/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Drone-Programming-With-Computer-Vision-A-Beginners-Guide) | | [How to Build a Pip Installable Package & Upload to PyPi](https://learnopencv.com/building-pip-installable-package-pypi/) | | | [IoU Loss Functions for Faster & More Accurate Object Detection](https://learnopencv.com/iou-loss-functions-object-detection/) | | | [Exploring Slicing Aided Hyper Inference for Small Object Detection](https://learnopencv.com/slicing-aided-hyper-inference/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Exploring-Slicing-Aided-Hyper-Inference) | | [Advancements in Face Recognition Models, Toolkit and Datasets](https://learnopencv.com/face-recognition-models/) | | | [Train YOLO NAS on Custom Dataset](https://learnopencv.com/train-yolo-nas-on-custom-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Train-YOLO-NAS-on-Custom-Dataset) | | [Train YOLOv8 Instance Segmentation on Custom Data](https://learnopencv.com/train-yolov8-instance-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Train-YOLOv8-Instance-Segmentation-on-Custom-Data) | | [YOLO-NAS: New Object Detection Model Beats YOLOv6 & YOLOv8](https://learnopencv.com/yolo-nas/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS_Introduction) | | [Segment Anything – A Foundation Model for Image Segmentation](https://learnopencv.com/segment-anything/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Segment-Anything-A-Foundation-Model-for-Image-Segmentation) | |[Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV](https://learnopencv.com/video-to-slides-converter-using-background-subtraction/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Build-a-Video-to-Slides-Converter-Application-using-the-Power-of-Background-Estimation-and-Frame-Differencing-in-OpenCV)| |[A Closer Look at CVAT: Perfecting Your Annotations](https://learnopencv.com/a-closer-look-at-cvat-perfecting-your-annotations/)|[YouTube](https://www.youtube.com/watch?v=yxX_0-zr-2U&list=PLfYPZalDvZDLvFhjuflhrxk_lLplXUqqB)| | [ControlNet - Achieving Superior Image Generation Results](https://learnopencv.com/controlnet/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ControlNet-Achieving-Superior-Image-Generation-Results) | | [InstructPix2Pix - Edit Images With Prompts](https://learnopencv.com/instructpix2pix/) | [Code](https://github.com/spmallick/learnopencv/tree/master/InstructPix2Pix-Edit-Images-With-Prompts) | | [NVIDIA Spring GTC 2023 Day 4: Ending on a High Note with Top Moments from the Finale!](https://learnopencv.com/nvidia-spring-gtc-2023-day-4/) | | | [NVIDIA Spring GTC 2023 Day 3: Digging deeper into Deep Learning, Semiconductors & more!](https://learnopencv.com/nvidia-spring-gtc-2023-day-3-digging-deeper-into-deep-learning-semiconductors-more/) | | | [NVIDIA Spring GTC 2023 Day 2: Jensen’s keynote & the iPhone moment of AI is here!](https://learnopencv.com/nvidia-spring-gtc-2023-day-2-jensens-keynote-the-iphone-moment-of-ai-is-here/) | | | [NVIDIA Spring GTC 2023 Day 1: Welcome to the future!](https://learnopencv.com/nvidia-spring-gtc-2023-day-1-highlights-welcome-to-the-future/) | | | [NVIDIA GTC Spring 2023 Curtain Raiser](https://learnopencv.com/nvidia-gtc-spring-2023-curtain-raiser/) | | | [Stable Diffusion - A New Paradigm in Generative AI](https://learnopencv.com/stable-diffusion-generative-ai/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Stable-Diffusion-A-New-Paradigm-in-Generative-AI) | | [OpenCV Face Recognition – Does Face Recognition Work on AI-Generated Images?](https://learnopencv.com/opencv-face-recognition-api/) | | |[An In-Depth Guide to Denoising Diffusion Probabilistic Models – From Theory to Implementation](https://learnopencv.com/denoising-diffusion-probabilistic-models/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Guide-to-training-DDPMs-from-Scratch)| |[From Pixels to Paintings: The Rise of Midjourney AI Art](https://learnopencv.com/rise-of-midjourney-ai-art/)| | |[Mastering DALL·E 2: A Breakthrough in AI Art Generation](https://learnopencv.com/mastering-dall-e-2/)| | |[Top 10 AI Art Generation Tools using Diffusion Models](https://learnopencv.com/ai-art-generation-tools/)| | |[The Future of Image Recognition is Here: PyTorch Vision Transformer](https://learnopencv.com/the-future-of-image-recognition-is-here-pytorch-vision-transformer/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Vision_Transformer_PyTorch)| |[Understanding Attention Mechanism in Transformer Neural Networks](https://learnopencv.com/attention-mechanism-in-transformer-neural-networks/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Attention_Mechanism_Introduction)| | [Deploying a Deep Learning Model using Hugging Face Spaces and Gradio](https://learnopencv.com/deploy-deep-learning-model-huggingface-spaces/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Deploying-a-Deep-Learning-Model-using-Hugging-Face-Spaces-and-Gradio) | | [Train YOLOv8 on Custom Dataset – A Complete Tutorial](https://learnopencv.com/train-yolov8-on-custom-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Train-YOLOv8-on-Custom-Dataset-A-Complete-Tutorial) | | [Introduction to Diffusion Models for Image Generation](https://learnopencv.com/image-generation-using-diffusion-models/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-Diffusion-Models-for-Image-Generation) | | [Building An Automated Image Annotation Tool: PyOpenAnnotate](https://learnopencv.com/building-automated-image-annotation-tool-pyopenannotate/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Building-An-Automated-Image-Annotation-Tool-PyOpenAnnotate/) | | [Ultralytics YOLOv8: State-of-the-Art YOLO Models](https://learnopencv.com/ultralytics-yolov8/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Ultralytics-YOLOv8-State-of-the-Art-YOLO-Models) | | [Getting Started with YOLOv5 Instance Segmentation](https://learnopencv.com/getting-started-with-yolov5-instance-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Getting-Started-with-YOLOv5-Instance-Segmentation) | |[The Ultimate Guide To DeepLabv3 - With PyTorch Inference](https://learnopencv.com/deeplabv3-ultimate-guide/)|[Code](https://github.com/spmallick/learnopencv/tree/master/The-ultimate-guide-to-deeplabv3)| |[AI Fitness Trainer using MediaPipe: Squats Analysis](https://learnopencv.com/ai-fitness-trainer-using-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/AI-Fitness-Trainer-Using-MediaPipe-Analyzing-Squats)| |[YoloR - Paper Explanation & Inference -An In-Depth Analysis](https://learnopencv.com/yolor-paper-explanation-inference-an-in-depth-analysis/)|[Code](https://github.com/spmallick/learnopencv/tree/master/YoloR-paper-explanation-analysis)| |[Roadmap To an Automated Image Annotation Tool Using Python](https://learnopencv.com/automated-image-annotation-tool-using-opencv-python/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Roadmap-To-an-Automated-Image-Annotation-Tool-Using-Python)| |[Performance Comparison of YOLO Object Detection Models – An Intensive Study](https://learnopencv.com/performance-comparison-of-yolo-models/)|| |[FCOS - Anchor Free Object Detection Explained](https://learnopencv.com/fcos-anchor-free-object-detection-explained/)|[Code](https://github.com/spmallick/learnopencv/tree/master/FCOS-Inference-using-PyTorch)| | [YOLOv6 Custom Dataset Training – Underwater Trash Detection](https://learnopencv.com/yolov6-custom-dataset-training/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv6-Custom-Dataset-Training-Underwater-Trash-Detection) | |[What is EXIF Data in Images?](https://www.learnopencv.com/what-is-exif-data-in-images/)|[Code](https://github.com/spmallick/learnopencv/tree/master/What-is-EXIF-Data-in-Images)| |[t-SNE: T-Distributed Stochastic Neighbor Embedding Explained](https://learnopencv.com/t-sne-t-distributed-stochastic-neighbor-embedding-explained/)|[Code](https://github.com/spmallick/learnopencv/tree/master/t-SNE-with-Tensorboard)| |[CenterNet: Objects as Points – Anchor-free Object Detection Explained](https://learnopencv.com/centernet-anchor-free-object-detection-explained/)|[Code](https://github.com/spmallick/learnopencv/tree/master/centernet-with-tf-hub)| |[YOLOv7 Pose vs MediaPipe in Human Pose Estimation](https://learnopencv.com/yolov7-pose-vs-mediapipe-in-human-pose-estimation/)|[Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv7-Pose-vs-MediaPipe-in-Human-Pose-Estimation)| |[YOLOv6 Object Detection – Paper Explanation and Inference](https://learnopencv.com/yolov6-object-detection/)|[Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv6-Object-Detection-Paper-Explanation-and-Inference)| |[YOLOX Object Detector Paper Explanation and Custom Training](https://learnopencv.com/yolox-object-detector-paper-explanation-and-custom-training/)|[Code](https://github.com/spmallick/learnopencv/tree/master/YOLOX-Object-Detection-Paper-Explanation-and-Custom-Training)| |[Driver Drowsiness Detection Using Mediapipe In Python](https://learnopencv.com/driver-drowsiness-detection-using-mediapipe-in-python/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Driver-Drowsiness-detection-using-Mediapipe-in-Python)| |[GTC 2022 Big Bang AI announcements: Everything you need to know](https://learnopencv.com/gtc-2022-big-bang-ai-announcements-everything-you-need-to-know/)|| |[NVIDIA GTC 2022 : The most important AI event this Fall](https://learnopencv.com/nvidia-gtc-2022-the-most-important-ai-event-this-fall/)|| |[Object Tracking and Reidentification with FairMOT](https://learnopencv.com/object-tracking-and-reidentification-with-fairmot/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Object-Tracking-and-Reidentification-with-FairMOT) | |[What is Face Detection? – The Ultimate Guide for 2022](https://learnopencv.com/what-is-face-detection-the-ultimate-guide/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Face-Detection-Ultimate-Guide) | |[Document Scanner: Custom Semantic Segmentation using PyTorch-DeepLabV3](https://learnopencv.com/custom-document-segmentation-using-deep-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Document-Scanner-Custom-Semantic-Segmentation-using-PyTorch-DeepLabV3)| |[Fine Tuning YOLOv7 on Custom Dataset](https://learnopencv.com/fine-tuning-yolov7-on-custom-dataset/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Fine-Tuning-YOLOv7)| |[Center Stage for Zoom Calls using MediaPipe](https://learnopencv.com/Center-Stage-for-zoom-call-using-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/CenterStage)| |[Mean Average Precision (mAP) in Object Detection](https://learnopencv.com/mean-average-precision-map-object-detection-model-evaluation-metric/)|| |[YOLOv7 Object Detection Paper Explanation and Inference](https://learnopencv.com/yolov7-object-detection-paper-explanation-and-inference/)|[Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv7-Object-Detection-Paper-Explanation-and-Inference)| |[Pothole Detection using YOLOv4 and Darknet](https://learnopencv.com/pothole-detection-using-yolov4-and-darknet/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Pothole-Detection-using-YOLOv4-and-Darknet)| |[Automatic Document Scanner using OpenCV](https://learnopencv.com/automatic-document-scanner-using-opencv/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Automatic-Document-Scanner)| |[Demystifying GPU architectures for deep learning: Part 2](https://learnopencv.com/demystifying-gpu-architectures-for-deep-learning-part-2/)|[Code](https://github.com/spmallick/learnopencv/tree/master/gpu_arch_and_CUDA)| |[Demystifying GPU Architectures For Deep Learning](https://learnopencv.com/demystifying-gpu-architectures-for-deep-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/gpu_arch_and_CUDA)| |[Intersection-over-Union(IoU)-in-Object-Detection-and-Segmentation](https://learnopencv.com/intersection-over-unioniou-in-object-detection-and-segmentation/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Intersection-over-Union-IoU-in-Object-Detection-and-Segmentation)| |[Understanding Multiple Object Tracking using DeepSORT](https://learnopencv.com/understanding-multiple-object-tracking-using-deepsort/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Understanding-Multiple-Object-Tracking-using-DeepSORT)| |[Optical Character Recognition using PaddleOCR](https://learnopencv.com/optical-character-recognition-using-paddleocr/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Optical-Character-Recognition-using-PaddleOCR)| |[Gesture Control in Zoom Call using Mediapipe](https://learnopencv.com/gesture-control-in-zoom-call-using-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/zoom-gestures)| |[A Deep Dive into Tensorflow Model Optimization](https://learnopencv.com/deep-dive-into-tensorflow-model-optimization-toolkit/)|[Code](https://github.com/spmallick/learnopencv/tree/master/A-Deep-Dive-into-Tensorflow-Model-Optimization)| |[DepthAI Pipeline Overview: Creating a Complex Pipeline](https://learnopencv.com/depthai-pipeline-overview-creating-a-complex-pipeline/)|[Code](https://github.com/spmallick/learnopencv/tree/master/OAK-DepthAi-Pipeline-Overview)| |[TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning](https://learnopencv.com/tensorflow-lite-model-maker-create-models-for-on-device-machine-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Tensorflow-Lite-Model-Maker-Create-Models-for-On-Device-ML)| |[TensorFlow Lite: Model Optimization for On Device Machine Learning](https://learnopencv.com/tensorflow-lite-model-optimization-for-on-device-machine-learning)|[Code](https://github.com/spmallick/learnopencv/tree/master/TensorFlow-Lite-Model-Optimization-for-On-Device-MachineLearning)| |[Object detection with depth measurement using pre-trained models with OAK-D](https://learnopencv.com/object-detection-with-depth-measurement-with-oak-d/)|[Code](https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth)| |[Custom Object Detection Training using YOLOv5](https://learnopencv.com/custom-object-detection-training-using-yolov5/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Custom-Object-Detection-Training-using-YOLOv5)| |[Object Detection using Yolov5 and OpenCV DNN (C++/Python)](https://learnopencv.com/object-detection-using-yolov5-and-opencv-dnn-in-c-and-python/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Object-Detection-using-YOLOv5-and-OpenCV-DNN-in-CPP-and-Python)| |[Create Snapchat/Instagram filters using Mediapipe](https://learnopencv.com/create-snapchat-instagram-filters-using-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Create-AR-filters-using-Mediapipe)| |[AUTOSAR C++ compliant deep learning inference with TensorRT](https://learnopencv.com/autosar-c-compliant-deep-learning-inference-with-tensorrt/)|[Code](https://github.com/spmallick/learnopencv/tree/master/industrial_cv_TensorRT_cpp)| |[NVIDIA GTC 2022 Day 4 Highlights: Meet the new Jetson Orin](https://learnopencv.com/nvidia-gtc-2022-day-4-highlights-meet-the-new-jetson-orin/)|| |[NVIDIA GTC 2022 Day 3 Highlights: Deep Dive into Hopper architecture](https://learnopencv.com/nvidia-gtc-2022-day-3-highlights-deep-dive-into-hopper-architecture/)|| |[NVIDIA GTC 2022 Day 2 Highlights: Jensen’s Keynote](https://learnopencv.com/nvidia-gtc-2022-day-2-highlights/)|| |[NVIDIA GTC 2022 Day 1 Highlights: Brilliant Start](https://learnopencv.com/gtc-day-1-highlights/)|| |[Automatic License Plate Recognition using Python](https://learnopencv.com/automatic-license-plate-recognition-using-deep-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/ALPR)| |[Building a Poor Body Posture Detection and Alert System using MediaPipe](https://learnopencv.com/building-a-body-posture-analysis-system-using-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Posture-analysis-system-using-MediaPipe-Pose)| |[Introduction to MediaPipe](https://learnopencv.com/introduction-to-mediapipe/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-MediaPipe)| |[Disparity Estimation using Deep Learning](https://learnopencv.com/disparity-estimation-using-deep-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Disparity-Estimation-Using-Deep-Learning)| |[How to build Chrome Dino game bot using OpenCV Feature Matching](https://learnopencv.com/how-to-build-chrome-dino-game-bot-using-opencv-feature-matching/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Chrome-Dino-Bot-using-OpenCV-feature-matching)| |[Top 10 Sources to Find Computer Vision and AI Models](https://learnopencv.com/top-10-sources-to-find-computer-vision-and-ai-models/)|| |[Multi-Attribute and Graph-based Object Detection](https://learnopencv.com/multi-attribute-and-graph-based-object-detection/)|| |[Plastic Waste Detection with Deep Learning](https://learnopencv.com/plastic-waste-detection-with-deep-learning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Plastic-Waste-Detection-with-Deep-Learning)| |[Ensemble Deep Learning-based Defect Classification and Detection in SEM Images](https://learnopencv.com/ensemble-deep-learning-based-defect-classification-and-detection-in-sem-images/)|| |[Building Industrial embedded deep learning inference pipelines with TensorRT](https://learnopencv.com/building-industrial-embedded-deep-learning-inference-pipelines-with-tensorrt/)|[Code](https://github.com/spmallick/learnopencv/tree/master/industrial_cv_TensorRT_python)| |[Transfer Learning for Medical Images](https://learnopencv.com/transfer-learning-for-medical-images/)|| |[Stereo Vision and Depth Estimation using OpenCV AI Kit](https://learnopencv.com/stereo-vision-and-depth-estimation-using-opencv-ai-kit/)|[Code](https://github.com/spmallick/learnopencv/tree/master/oak-getting-started)| |[Introduction to OpenCV AI Kit and DepthAI](https://learnopencv.com/introduction-to-opencv-ai-kit-and-depthai/)|[Code](https://github.com/spmallick/learnopencv/tree/master/oak-getting-started)| |[WeChat QR Code Scanner in OpenCV](https://learnopencv.com/wechat-qr-code-scanner-in-opencv)|[Code](https://github.com/spmallick/learnopencv/tree/master/WeChat-QRCode-Scanner-OpenCV)| |[AI behind the Diwali 2021 ‘Not just a Cadbury ad’](https://learnopencv.com/ai-behind-the-diwali-2021-not-just-a-cadbury-ad/)| | |[Model Selection and Benchmarking with Modelplace.AI](https://learnopencv.com/model-selection-and-benchmarking-with-modelplace-ai/)|[Model Zoo](https://modelplace.ai/)| |[Real-time style transfer in a zoom meeting](https://learnopencv.com/real-time-style-transfer-in-a-zoom-meeting/)|[Code](https://github.com/spmallick/learnopencv/tree/master/style-transfer-zoom)| | [Introduction to OpenVino Deep Learning Workbench](https://learnopencv.com/introduction-to-openvino-deep-learning-workbench/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Introduction-to-OpenVino-Deep-Learning-Workbench) | | [Running OpenVino Models on Intel Integrated GPU](https://learnopencv.com/running-openvino-models-on-intel-integrated-gpu/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Running-OpenVino-Models-on-Intel-Integrated-GPU) | |[Post Training Quantization with OpenVino Toolkit](https://learnopencv.com/post-training-quantization-with-openvino-toolkit/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Post-Training-Quantization-with-OpenVino-Toolkit)| |[Introduction to Intel OpenVINO Toolkit](https://learnopencv.com/introduction-to-intel-openvino-toolkit/)|| |[Human Action Recognition using Detectron2 and LSTM](https://learnopencv.com/human-action-recognition-using-detectron2-and-lstm/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Human-Action-Recognition-Using-Detectron2-And-Lstm)| |[Pix2Pix:Image-to-Image Translation in PyTorch & TensorFlow](https://learnopencv.com/paired-image-to-image-translation-pix2pix/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Image-to-Image-Translation-with-GAN)| |[Conditional GAN (cGAN) in PyTorch and TensorFlow](https://learnopencv.com/conditional-gan-cgan-in-pytorch-and-tensorflow/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Conditional-GAN-PyTorch-TensorFlow)| |[Deep Convolutional GAN in PyTorch and TensorFlow](https://learnopencv.com/deep-convolutional-gan-in-pytorch-and-tensorflow/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Deep-Convolutional-GAN)| |[Introduction to Generative Adversarial Networks (GANs)](https://learnopencv.com/introduction-to-generative-adversarial-networks/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Intro-to-Generative-Adversarial-Network)| |[Human Pose Estimation using Keypoint RCNN in PyTorch](https://learnopencv.com/human-pose-estimation-using-keypoint-rcnn-in-pytorch/)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Keypoint-RCNN)| |[Non Maximum Suppression: Theory and Implementation in PyTorch](https://learnopencv.com/non-maximum-suppression-theory-and-implementation-in-pytorch)|[Code](https://github.com/spmallick/learnopencv/tree/master/Non-Maximum-Suppression)| |[MRNet – The Multi-Task Approach](https://learnopencv.com/mrnet-multitask-approach/)| [Code](https://github.com/spmallick/learnopencv/tree/master/MRnet-MultiTask-Approach) | |[Generative and Discriminative Models](https://learnopencv.com/generative-and-discriminative-models/)| | |[Playing Chrome's T-Rex Game with Facial Gestures](https://learnopencv.com/playing-chromes-t-rex-game-with-facial-gestures/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Playing-Chrome-TRex-Game-with-Facial-Gestures) | |[Variational Autoencoder in TensorFlow](https://learnopencv.com/variational-autoencoder-in-tensorflow/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Variational-Autoencoder-TensorFlow) | |[Autoencoder in TensorFlow 2: Beginner’s Guide](https://learnopencv.com/autoencoder-in-tensorflow-2-beginners-guide/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Autoencoder-in-TensorFlow) | |[Deep Learning with OpenCV DNN Module: A Definitive Guide](https://learnopencv.com/deep-learning-with-opencvs-dnn-module-a-definitive-guide/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Deep-Learning-with-OpenCV-DNN-Module) | |[Improving Illumination in Night Time Images](https://learnopencv.com/improving-illumination-in-night-time-images/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Improving-Illumination-in-Night-Time-Images) | |[Video Classification and Human Activity Recognition](https://learnopencv.com/introduction-to-video-classification-and-human-activity-recognition/) | [Code](https://github.com/spmallick/learnopencv/tree/master/video-classification-and-human-activity-recognition) | |[How to use OpenCV DNN Module with Nvidia GPU on Windows](https://learnopencv.com/how-to-use-opencv-dnn-module-with-nvidia-gpu-on-windows) | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenCV-dnn-gpu-support-Windows) | |[How to use OpenCV DNN Module with NVIDIA GPUs](https://learnopencv.com/opencv-dnn-with-gpu-support/) | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenCV-dnn-gpu-support-Linux) | |[Code OpenCV in Visual Studio](https://learnopencv.com/code-opencv-in-visual-studio/) | | |[Install OpenCV on Windows – C++ / Python](https://learnopencv.com/install-opencv-on-windows/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Install-OpenCV-Windows-exe) | |[Face Recognition with ArcFace](https://www.learnopencv.com/face-recognition-with-arcface/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Face-Recognition-with-ArcFace)| |[Background Subtraction with OpenCV and BGS Libraries](https://www.learnopencv.com/background-subtraction-with-opencv-and-bgs-libraries/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Background-Subtraction) | |[RAFT: Optical Flow estimation using Deep Learning](https://learnopencv.com/optical-flow-using-deep-learning-raft/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Optical-Flow-Estimation-using-Deep-Learning-RAFT)| |[Making A Low-Cost Stereo Camera Using OpenCV](https://www.learnopencv.com/making-a-low-cost-stereo-camera-using-opencv/)|[Code](https://github.com/spmallick/learnopencv/tree/master/stereo-camera)| |[Introduction to Epipolar Geometry and Stereo Vision](https://www.learnopencv.com/introduction-to-epipolar-geometry-and-stereo-vision/)|[Code](https://github.com/spmallick/learnopencv/tree/master/EpipolarGeometryAndStereoVision)| |[Classification With Localization: Convert any keras Classifier to a Detector](https://www.learnopencv.com/classification-with-localization/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Classification-with-localization-convert-any-keras-classifier-into-a-detector/README.md) | |[Photoshop Filters in OpenCV](https://www.learnopencv.com/photoshop-filters-in-opencv/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Photoshop-Filters-in-OpenCV)| |[Tetris Game using OpenCV Python](https://www.learnopencv.com/tetris-with-opencv-python)|[Code](https://github.com/spmallick/learnopencv/tree/master/Tetris)| |[Image Classification with OpenCV for Android](https://www.learnopencv.com/image-classification-with-opencv-for-android/) | [Code](https://github.com/spmallick/learnopencv/tree/master/DNN-OpenCV-Classification-Android) | |[Image Classification with OpenCV Java](https://www.learnopencv.com/image-classification-with-opencv-java)|[Code](https://github.com/spmallick/learnopencv/tree/master/DNN-OpenCV-Classification-with-Java) | |[PyTorch to Tensorflow Model Conversion](https://www.learnopencv.com/pytorch-to-tensorflow-model-conversion/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-to-TensorFlow-Model-Conversion) | |[Stanford MRNet Challenge: Classifying Knee MRIs](https://www.learnopencv.com/stanford-mrnet-challenge-classifying-knee-mris/)|[Code](https://github.com/spmallick/learnopencv/tree/master/MRNet-Single-Model) | |[Experiment Logging with TensorBoard and wandb](https://www.learnopencv.com/experiment-logging-with-tensorboard-and-wandb)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Vision-Experiment-Logging) | |[Image Matting with state-of-the-art Method “F, B, Alpha Matting”](https://www.learnopencv.com/image-matting-with-state-of-the-art-method-f-b-alpha-matting/)|[Code](https://github.com/spmallick/learnopencv/tree/master/FBAMatting) | |[Bag Of Tricks For Image Classification - Let's check if it is working or not](https://www.learnopencv.com/bag-of-tricks-for-image-classification-lets-check-if-it-is-working-or-not/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Bag-Of-Tricks-For-Image-Classification) | |[Getting Started with OpenCV CUDA Module](https://www.learnopencv.com/getting-started-opencv-cuda-module/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Getting-Started-OpenCV-CUDA-Module) | |[Training a Custom Object Detector with DLIB & Making Gesture Controlled Applications](https://www.learnopencv.com/training-a-custom-object-detector-with-dlib-making-gesture-controlled-applications/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Training_a_custom_hand_detector_with_dlib) | |[How To Run Inference Using TensorRT C++ API](https://www.learnopencv.com/how-to-run-inference-using-tensorrt-c-api/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-ONNX-TensorRT-CPP) | |[Using Facial Landmarks for Overlaying Faces with Medical Masks](https://www.learnopencv.com/using-facial-landmarks-for-overlaying-faces-with-masks/)|[Code](https://github.com/spmallick/learnopencv/tree/master/FaceMaskOverlay) | |[Tensorboard with PyTorch Lightning](https://www.learnopencv.com/tensorboard-with-pytorch-lightning)|[Code](https://github.com/spmallick/learnopencv/tree/master/TensorBoard-With-Pytorch-Lightning) | |[PyTorch-to-CoreML-model-conversion](https://www.learnopencv.com/pytorch-to-coreml-model-conversion/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-to-CoreML-model-conversion) | |[Playing Rock, Paper, Scissors with AI](https://www.learnopencv.com/playing-rock-paper-scissors-with-ai/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Playing-rock-paper-scissors-with-AI) | |[CNN Receptive Field Computation Using Backprop with TensorFlow](https://www.learnopencv.com/cnn-receptive-field-computation-using-backprop-with-tensorflow/)|[Code](https://github.com/spmallick/learnopencv/tree/master/TensorFlow-Receptive-Field-With-Backprop)| |[CNN Fully Convolutional Image Classification with TensorFlow](https://www.learnopencv.com/cnn-fully-convolutional-image-classification-with-tensorflow) | [Code](https://github.com/spmallick/learnopencv/tree/master/TensorFlow-Fully-Convolutional-Image-Classification) | |[How to convert a model from PyTorch to TensorRT and speed up inference](https://www.learnopencv.com/how-to-convert-a-model-from-pytorch-to-tensorrt-and-speed-up-inference/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-ONNX-TensorRT) | |[Efficient image loading](https://www.learnopencv.com/efficient-image-loading/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Efficient-image-loading) | |[Graph Convolutional Networks: Model Relations In Data](https://www.learnopencv.com/graph-convolutional-networks-model-relations-in-data/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Graph-Convolutional-Networks-Model-Relations-In-Data)| |[Getting Started with Federated Learning with PyTorch and PySyft](https://www.learnopencv.com/federated-learning-using-pytorch-and-pysyft/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Federated-Learning-Intro)| |[Creating a Virtual Pen & Eraser](http://www.learnopencv.com/creating-a-virtual-pen-and-eraser-with-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Creating-a-Virtual-Pen-and-Eraser) | |[Getting Started with PyTorch Lightning](https://www.learnopencv.com/getting-started-with-pytorch-lightning/)|[Code](https://github.com/spmallick/learnopencv/tree/master/Pytorch-Lightning)| |[Multi-Label Image Classification with PyTorch: Image Tagging](https://www.learnopencv.com/multi-label-image-classification-with-pytorch-image-tagging/)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Multi-Label-Image-Classification-Image-Tagging)| |[Funny Mirrors Using OpenCV](https://www.learnopencv.com/Funny-Mirrors-Using-OpenCV/)|[code](https://github.com/spmallick/learnopencv/tree/master/FunnyMirrors)| |[t-SNE for ResNet feature visualization](https://www.learnopencv.com/t-sne-for-feature-visualization/)|[Code](https://github.com/spmallick/learnopencv/tree/master/TSNE)| |[Multi-Label Image Classification with Pytorch](https://www.learnopencv.com/multi-label-image-classification-with-pytorch/)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Multi-Label-Image-Classification)| |[CNN Receptive Field Computation Using Backprop](https://www.learnopencv.com/cnn-receptive-field-computation-using-backprop/)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Receptive-Field-With-Backprop)| |[CNN Receptive Field Computation Using Backprop with TensorFlow](https://www.learnopencv.com/cnn-receptive-field-computation-using-backprop-with-tensorflow/)|[Code](https://github.com/spmallick/learnopencv/tree/master/TensorFlow-Receptive-Field-With-Backprop)| |[Fully Convolutional Image Classification on Arbitrary Sized Image](https://www.learnopencv.com/fully-convolutional-image-classification-on-arbitrary-sized-image/)|[Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Fully-Convolutional-Image-Classification)| |[Geometry of Image Formation](https://www.learnopencv.com/geometry-of-image-formation/) || |[Ensuring Training Reproducibility in Pytorch](https://www.learnopencv.com/ensuring-training-reproducibility-in-pytorch) || |[Gaze Tracking](https://www.learnopencv.com/gaze-tracking/) || |[Simple Background Estimation in Videos Using OpenCV](https://www.learnopencv.com/simple-background-estimation-in-videos-using-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/VideoBackgroundEstimation)| |[Applications of Foreground-Background separation with Semantic Segmentation](https://www.learnopencv.com/applications-of-foreground-background-separation-with-semantic-segmentation/) | [Code](https://github.com/spmallick/learnopencv/tree/master/app-seperation-semseg) | |[EfficientNet: Theory + Code](https://www.learnopencv.com/efficientnet-theory-code) | [Code](https://github.com/spmallick/learnopencv/tree/master/EfficientNet) | |[PyTorch for Beginners: Mask R-CNN Instance Segmentation with PyTorch](https://www.learnopencv.com/mask-r-cnn-instance-segmentation-with-pytorch/) | [Code](./PyTorch-Mask-RCNN) | |[PyTorch for Beginners: Faster R-CNN Object Detection with PyTorch](https://www.learnopencv.com/faster-r-cnn-object-detection-with-pytorch) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-faster-RCNN) | |[PyTorch for Beginners: Semantic Segmentation using torchvision](https://www.learnopencv.com/pytorch-for-beginners-semantic-segmentation-using-torchvision/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-Segmentation-torchvision) | |[PyTorch for Beginners: Comparison of pre-trained models for Image Classification](https://www.learnopencv.com/image-classification-using-pre-trained-models-using-pytorch/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-classification-pre-trained-models/Image_Classification_using_pre_trained_models.ipynb) | |[PyTorch for Beginners: Basics](https://www.learnopencv.com/pytorch-for-beginners-basics/) | [Code](https://github.com/spmallick/learnopencv/tree/master/PyTorch-for-Beginners/PyTorch_for_Beginners.ipynb) | |[PyTorch Model Inference using ONNX and Caffe2](https://www.learnopencv.com/pytorch-model-inference-using-onnx-and-caffe2/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Inference-for-PyTorch-Models/ONNX-Caffe2) | |[Image Classification Using Transfer Learning in PyTorch](https://www.learnopencv.com/image-classification-using-transfer-learning-in-pytorch/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-Classification-in-PyTorch) | |[Hangman: Creating games in OpenCV](https://www.learnopencv.com/hangman-creating-games-in-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Hangman) | |[Image Inpainting with OpenCV (C++/Python)](https://www.learnopencv.com/image-inpainting-with-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Image-Inpainting) | |[Xeus-Cling: Run C++ code in Jupyter Notebook](https://www.learnopencv.com/xeus-cling-run-c-code-in-jupyter-notebook/) | [Code](https://github.com/spmallick/learnopencv/tree/master/XeusCling) | |[Gender & Age Classification using OpenCV Deep Learning ( C++/Python )](https://www.learnopencv.com/age-gender-classification-using-opencv-deep-learning-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/AgeGender) | |[Invisibility Cloak using Color Detection and Segmentation with OpenCV](https://www.learnopencv.com/invisibility-cloak-using-color-detection-and-segmentation-with-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/InvisibilityCloak) | |[Fast Image Downloader for Open Images V4 (Python)](https://www.learnopencv.com/fast-image-downloader-for-open-images-v4/) | [Code](https://github.com/spmallick/learnopencv/tree/master/downloadOpenImages) | |[Deep Learning based Text Detection Using OpenCV (C++/Python)](https://www.learnopencv.com/deep-learning-based-text-detection-using-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/TextDetectionEAST) | |[Training YOLOv3 : Deep Learning based Custom Object Detector](https://www.learnopencv.com/training-yolov3-deep-learning-based-custom-object-detector/) | [Code](https://github.com/spmallick/learnopencv/tree/master/YOLOv3-Training-Snowman-Detector ) | |[Using OpenVINO with OpenCV](https://www.learnopencv.com/using-openvino-with-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenVINO-OpenCV) | |[Duplicate Search on Quora Dataset](https://www.learnopencv.com/duplicate-search-on-quora-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Quora-Dataset-Duplicate-Search) | |[Install OpenCV 4 on CentOS (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-centos-7/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-on-centos.sh) | |[Install OpenCV 3.4.4 on CentOS (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-centos-7/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-on-centos.sh) | |[Install OpenCV 3.4.4 on Red Hat (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-red-hat/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-on-red-hat.sh) | |[Install OpenCV 4 on Red Hat (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-red-hat/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-4-on-red-hat.sh) | |[Install OpenCV 4 on macOS (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-macos/) | [Code](https://github.com/spmallick/learnopencv/tree/master/InstallScripts/installOpenCV-4-macos.sh) | |[Install OpenCV 3.4.4 on Raspberry Pi](https://www.learnopencv.com/install-opencv-3-4-4-on-raspberry-pi/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-raspberry-pi.sh) | |[Install OpenCV 3.4.4 on macOS (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-macos/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-macos.sh) | |[Install OpenCV 3.4.4 on Windows (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-windows/) | [Code](https://github.com/spmallick/learnopencv/tree/master/InstallScripts/Windows-3) | |[Install OpenCV 3.4.4 on Ubuntu 16.04 (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-ubuntu-16-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-on-Ubuntu-16-04.sh) | |[Install OpenCV 3.4.4 on Ubuntu 18.04 (C++ and Python)](https://www.learnopencv.com/install-opencv-3-4-4-on-ubuntu-18-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-3-on-Ubuntu-18-04.sh) | |[Universal Sentence Encoder](https://www.learnopencv.com/universal-sentence-encoder) | [Code](https://github.com/spmallick/learnopencv/blob/master/Universal-Sentence-Encoder) | |[Install OpenCV 4 on Raspberry Pi](https://www.learnopencv.com/install-opencv-4-on-raspberry-pi/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-4-raspberry-pi.sh) | |[Install OpenCV 4 on Windows (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-windows/) | [Code](https://github.com/spmallick/learnopencv/tree/master/InstallScripts/Windows-4) | |[Hand Keypoint Detection using Deep Learning and OpenCV](https://www.learnopencv.com/hand-keypoint-detection-using-deep-learning-and-opencv/) | [Code](https://github.com/spmallick/learnopencv/tree/master/HandPose)| |[Deep learning based Object Detection and Instance Segmentation using Mask R-CNN in OpenCV (Python / C++)](https://www.learnopencv.com/deep-learning-based-object-detection-and-instance-segmentation-using-mask-r-cnn-in-opencv-python-c/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Mask-RCNN) | |[Install OpenCV 4 on Ubuntu 18.04 (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-4-on-Ubuntu-18-04.sh) | |[Install OpenCV 4 on Ubuntu 16.04 (C++ and Python)](https://www.learnopencv.com/install-opencv-4-on-ubuntu-16-04/) | [Code](https://github.com/spmallick/learnopencv/blob/master/InstallScripts/installOpenCV-4-on-Ubuntu-16-04.sh) | |[Multi-Person Pose Estimation in OpenCV using OpenPose](https://www.learnopencv.com/multi-person-pose-estimation-in-opencv-using-openpose/) | [Code](https://github.com/spmallick/learnopencv/tree/master/OpenPose-Multi-Person) | |[Heatmap for Logo Detection using OpenCV (Python)](https://www.learnopencv.com/heatmap-for-logo-detection-using-opencv-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/heatmap)| |[Deep Learning based Object Detection using YOLOv3 with OpenCV ( Python / C++ )](https://www.learnopencv.com/deep-learning-based-object-detection-using-yolov3-with-opencv-python-c/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ObjectDetection-YOLO)| |[MultiTracker : Multiple Object Tracking using OpenCV (C++/Python)](https://www.learnopencv.com/multitracker-multiple-object-tracking-using-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/MultiObjectTracker) | |[SVM using scikit-learn](https://www.learnopencv.com/svm-using-scikit-learn-in-python/)|[Code](https://github.com/spmallick/learnopencv/tree/master/SVM-using-Python)| |[GOTURN: Deep Learning based Object Tracking](https://www.learnopencv.com/goturn-deep-learning-based-object-tracking/) | [Code](https://github.com/spmallick/learnopencv/tree/master/GOTURN)| |[Support Vector Machines (SVM)](https://www.learnopencv.com/support-vector-machines-svm/)|[Code](https://github.com/spmallick/learnopencv/tree/master/SVM-using-Python)| |[Batch Normalization in Deep Networks](https://www.learnopencv.com/batch-normalization-in-deep-networks/) | [Code](https://github.com/spmallick/learnopencv/tree/master/BatchNormalization)| |[Deep Learning based Character Classification using Synthetic Dataset](https://www.learnopencv.com/deep-learning-character-classification-using-synthetic-dataset/) | [Code](https://github.com/spmallick/learnopencv/tree/master/CharClassification)| |[Understanding AlexNet](https://www.learnopencv.com/understanding-alexnet/)|| |[Number of Parameters and Tensor Sizes in a Convolutional Neural Network (CNN)](https://www.learnopencv.com/number-of-parameters-and-tensor-sizes-in-convolutional-neural-network/)| | |[How to convert your OpenCV C++ code into a Python module](https://www.learnopencv.com/how-to-convert-your-opencv-c-code-into-a-python-module/)|[Code](https://github.com/spmallick/learnopencv/tree/master/pymodule)| |[CV4Faces : Best Project Award 2018](https://www.learnopencv.com/cv4faces-best-project-award-2018/)| | |[Facemark : Facial Landmark Detection using OpenCV](https://www.learnopencv.com/facemark-facial-landmark-detection-using-opencv/)|[Code](https://github.com/spmallick/learnopencv/tree/master/FacialLandmarkDetection)| |[Keras Tutorial : Fine-tuning using pre-trained models](https://www.learnopencv.com/keras-tutorial-fine-tuning-using-pre-trained-models/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Keras-Fine-Tuning)| |[OpenCV Transparent API](https://www.learnopencv.com/opencv-transparent-api/)| | |[Face Reconstruction using EigenFaces (C++/Python)](https://www.learnopencv.com/face-reconstruction-using-eigenfaces-cpp-python/)|[Code](https://github.com/spmallick/learnopencv/tree/master/ReconstructFaceUsingEigenFaces) | |[Eigenface using OpenCV (C++/Python)](https://www.learnopencv.com/eigenface-using-opencv-c-python/)| [Code](https://github.com/spmallick/learnopencv/tree/master/EigenFace)| |[Principal Component Analysis](https://www.learnopencv.com/principal-component-analysis/)| | |[Keras Tutorial : Transfer Learning using pre-trained models](https://www.learnopencv.com/keras-tutorial-transfer-learning-using-pre-trained-models/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Keras-Transfer-Learning) | |[Keras Tutorial : Using pre-trained Imagenet models](https://www.learnopencv.com/keras-tutorial-using-pre-trained-imagenet-models/)| [Code](https://github.com/spmallick/learnopencv/tree/master/Keras-ImageNet-Models) | |[Technical Aspects of a Digital SLR](https://www.learnopencv.com/technical-aspects-of-a-digital-slr/) | | |[Using Harry Potter interactive wand with OpenCV to create magic](https://www.learnopencv.com/using-harry-potter-interactive-wand-with-opencv-to-create-magic/)| | |[Install OpenCV 3 and Dlib on Windows ( Python only )](https://www.learnopencv.com/install-opencv-3-and-dlib-on-windows-python-only/)| | |[Image Classification using Convolutional Neural Networks in Keras](https://www.learnopencv.com/image-classification-using-convolutional-neural-networks-in-keras) | [Code](https://github.com/spmallick/learnopencv/tree/master/KerasCNN-CIFAR)| |[Understanding Autoencoders using Tensorflow (Python)](https://www.learnopencv.com/understanding-autoencoders-using-tensorflow-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/DenoisingAutoencoder)| |[Best Project Award : Computer Vision for Faces](https://www.learnopencv.com/best-project-award-computer-vision-for-faces/) | | |[Understanding Activation Functions in Deep Learning](https://www.learnopencv.com/understanding-activation-functions-in-deep-learning/) | | |[Image Classification using Feedforward Neural Network in Keras](https://www.learnopencv.com/image-classification-using-feedforward-neural-network-in-keras/) | [Code](https://github.com/kromydas/learnopencv/tree/master/Keras-MLP-MNIST-Classification)| |[Exposure Fusion using OpenCV (C++/Python)](https://www.learnopencv.com/exposure-fusion-using-opencv-cpp-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ExposureFusion)| |[Understanding Feedforward Neural Networks](https://www.learnopencv.com/understanding-feedforward-neural-networks/) | | |[High Dynamic Range (HDR) Imaging using OpenCV (C++/Python)](http://www.learnopencv.com/high-dynamic-range-hdr-imaging-using-opencv-cpp-python) | [Code](https://github.com/spmallick/learnopencv/tree/master/hdr)| |[Deep learning using Keras – The Basics](http://www.learnopencv.com/deep-learning-using-keras-the-basics) | [Code](https://github.com/kromydas/learnopencv/tree/master/Keras-Linear-Regression)| |[Selective Search for Object Detection (C++ / Python)](http://www.learnopencv.com/selective-search-for-object-detection-cpp-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SelectiveSearch) | |[Installing Deep Learning Frameworks on Ubuntu with CUDA support](http://www.learnopencv.com/installing-deep-learning-frameworks-on-ubuntu-with-cuda-support/) | | |[Parallel Pixel Access in OpenCV using forEach](http://www.learnopencv.com/parallel-pixel-access-in-opencv-using-foreach/) | [Code](https://github.com/spmallick/learnopencv/tree/master/forEach) | |[cvui: A GUI lib built on top of OpenCV drawing primitives](http://www.learnopencv.com/cvui-gui-lib-built-on-top-of-opencv-drawing-primitives/) | [Code](https://github.com/spmallick/learnopencv/tree/master/UI-cvui) | |[Install Dlib on Windows](http://www.learnopencv.com/install-dlib-on-windows/) | | |[Install Dlib on Ubuntu](http://www.learnopencv.com/install-dlib-on-ubuntu/) | | |[Install OpenCV3 on Ubuntu](http://www.learnopencv.com/install-opencv3-on-ubuntu/) | | |[Install Dlib on MacOS](http://www.learnopencv.com/install-dlib-on-macos/) | | |[Install OpenCV 3 on MacOS](http://www.learnopencv.com/install-opencv3-on-macos/) | | |[Install OpenCV 3 on Windows](http://www.learnopencv.com/install-opencv3-on-windows/) | | |[Get OpenCV Build Information ( getBuildInformation )](http://www.learnopencv.com/get-opencv-build-information-getbuildinformation/) | | |[Neural Networks : A 30,000 Feet View for Beginners](http://www.learnopencv.com/neural-networks-a-30000-feet-view-for-beginners/) | | |[Alpha Blending using OpenCV (C++ / Python)](http://www.learnopencv.com/alpha-blending-using-opencv-cpp-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/AlphaBlending) | |[User stories : How readers of this blog are applying their knowledge to build applications](http://www.learnopencv.com/user-stories-how-readers-of-this-blog-are-applying-their-knowledge-to-build-applications/) | | |[How to select a bounding box ( ROI ) in OpenCV (C++/Python) ?](http://www.learnopencv.com/how-to-select-a-bounding-box-roi-in-opencv-cpp-python/) | | |[Automatic Red Eye Remover using OpenCV (C++ / Python)](http://www.learnopencv.com/automatic-red-eye-remover-using-opencv-cpp-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/RedEyeRemover) | |[Bias-Variance Tradeoff in Machine Learning](http://www.learnopencv.com/bias-variance-tradeoff-in-machine-learning/) | | |[Embedded Computer Vision: Which device should you choose?](http://www.learnopencv.com/embedded-computer-vision-which-device-should-you-choose/) | | |[Handwritten Digits Classification : An OpenCV ( C++ / Python ) Tutorial](http://www.learnopencv.com/handwritten-digits-classification-an-opencv-c-python-tutorial/) | [Code](https://github.com/spmallick/learnopencv/tree/master/digits-classification) | |[Training a better Haar and LBP cascade based Eye Detector using OpenCV](http://www.learnopencv.com/training-better-haar-lbp-cascade-eye-detector-opencv/) | | |[Deep Learning Book Gift Recipients](http://www.learnopencv.com/deep-learning-book-gift-recipients/) | | |[Minified OpenCV Haar and LBP Cascades](http://www.learnopencv.com/minified-opencv-haar-and-lbp-cascades/) | [Code](https://github.com/spmallick/learnopencv/tree/master/ninjaEyeDetector)| |[Deep Learning Book Gift](http://www.learnopencv.com/deep-learning-book-gift/) | | |[Image Recognition and Object Detection : Part 1](http://www.learnopencv.com/image-recognition-and-object-detection-part1/) | | |[Live CV : A Computer Vision Coding Application](http://www.learnopencv.com/live-cv/) | | |[Approximate Focal Length for Webcams and Cell Phone Cameras](http://www.learnopencv.com/approximate-focal-length-for-webcams-and-cell-phone-cameras/) | | |[Configuring Qt for OpenCV on OSX](http://www.learnopencv.com/configuring-qt-for-opencv-on-osx/) | [Code](https://github.com/spmallick/learnopencv/tree/master/qt-test) | |[Speeding up Dlib’s Facial Landmark Detector](http://www.learnopencv.com/speeding-up-dlib-facial-landmark-detector/) | | |[Warp one triangle to another using OpenCV ( C++ / Python )](http://www.learnopencv.com/warp-one-triangle-to-another-using-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/WarpTriangle) | |[Face Swap using OpenCV ( C++ / Python )](http://www.learnopencv.com/face-swap-using-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/FaceSwap) | |[Face Morph Using OpenCV — C++ / Python](http://www.learnopencv.com/face-morph-using-opencv-cpp-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/FaceMorph) | |[Deep Learning Example using NVIDIA DIGITS 3 on EC2](http://www.learnopencv.com/deep-learning-example-using-nvidia-digits-3-on-ec2/) | | |[NVIDIA DIGITS 3 on EC2](http://www.learnopencv.com/nvidia-digits-3-on-ec2/) | | |[OpenCV (C++ vs Python) vs MATLAB for Computer Vision](http://www.learnopencv.com/opencv-c-vs-python-vs-matlab-for-computer-vision/) | | |[Facial Landmark Detection](http://www.learnopencv.com/facial-landmark-detection/) | | |[Why does OpenCV use BGR color format ?](http://www.learnopencv.com/why-does-opencv-use-bgr-color-format/) | | |[Computer Vision for Predicting Facial Attractiveness](http://www.learnopencv.com/computer-vision-for-predicting-facial-attractiveness/) | [Code](https://github.com/spmallick/learnopencv/tree/master/FacialAttractiveness) | |[applyColorMap for pseudocoloring in OpenCV ( C++ / Python )](http://www.learnopencv.com/applycolormap-for-pseudocoloring-in-opencv-c-python/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Colormap) | |[How to find OpenCV version in Python and C++ ?](http://www.learnopencv.com/how-to-find-opencv-version-python-cpp/) | | |[Baidu banned from ILSVRC 2015](http://www.learnopencv.com/baidu-banned-from-ilsvrc-2015/) | | |[OpenCV Transparent API](http://www.learnopencv.com/opencv-transparent-api/) | | |[How Computer Vision Solved the Greatest Soccer Mystery of All Time](http://www.learnopencv.com/how-computer-vision-solved-the-greatest-soccer-mystery-of-all-times/) | | |[Embedded Vision Summit 2015](http://www.learnopencv.com/embedded-vision-summit-2015/) | | |[Read an Image in OpenCV ( Python, C++ )](http://www.learnopencv.com/read-an-image-in-opencv-python-cpp/) | [Code](https://github.com/spmallick/learnopencv/tree/master/imread) | |[Non-Photorealistic Rendering using OpenCV ( Python, C++ )](http://www.learnopencv.com/non-photorealistic-rendering-using-opencv-python-c/) | [Code](https://github.com/spmallick/learnopencv/tree/master/NonPhotorealisticRendering) | |[Seamless Cloning using OpenCV ( Python , C++ )](http://www.learnopencv.com/seamless-cloning-using-opencv-python-cpp/) | [Code](https://github.com/spmallick/learnopencv/tree/master/SeamlessCloning) | |[OpenCV Threshold ( Python , C++ )](http://www.learnopencv.com/opencv-threshold-python-cpp/) | [Code](https://github.com/spmallick/learnopencv/tree/master/Threshold) | |[Turn your OpenCV Code into a Web API in under 10 minutes — Part 1](http://www.learnopencv.com/turn-your-opencv-Code-into-a-web-api-in-under-10-minutes-part-1/) | | |[How to compile OpenCV sample Code ?](http://www.learnopencv.com/how-to-compile-opencv-sample-Code/) | | |[Install OpenCV 3 on Yosemite ( OSX 10.10.x )](http://www.learnopencv.com/install-opencv-3-on-yosemite-osx-10-10-x/) | |