CV Brief · Sunday, 27 September 2026
CV Brief
Tools & Releases
RAG pipeline tutorial: Common pitfalls and fixes
LangChain Q&A pipeline walkthrough covering chunking, embeddings, retrieval, and citations with practical pitfall fixes. Relevant for CV practitioners building multimodal RAG systems that combine vision and text, especially when integrating document understanding into production pipelines.
Read more →Tutorials & Guides
Camera Calibration in Practice: Hands-On OpenCV Guide
Practical walkthrough of camera intrinsics and extrinsics calibration using OpenCV. Bridges theory from previous post to actual implementation, essential for accurate 3D reconstruction and geometric vision tasks.
Read more →Edge AI Object Detection: YOLO on Raspberry Pi and Jetson Nano
Deploy lightweight models (YOLO-nano, MobileNet) on embedded hardware with camera modules for real-time detection. Directly applicable for production edge systems and IoT defect detection pipelines.
Read more →Industry & Deployments
Deterministic Synthetic Datasets: Scale Training Without Storage Overhead
Generate infinite synthetic training data with fixed seeds for reproducibility, no disk storage, and exact labels across classification, detection, segmentation, and pose tasks. Solves data scarcity and version control for CV pipelines.
Read more →When extracting crops from CCTV at scale, always use frame seeking (cv2.CAP_PROP_POS_FRAMES) instead of sequential reads. On a 2-hour video at 1FPS you'll go from hours to minutes.