sushi moto

Wed, 06 May 2026 02:56:55 +0000

This tutorial explains how to build a real-time application to estimate the camera pose in order to track a textured object with six degrees of freedom given a 2D image and its 3D textured. First, download the code and model files from below. There are separate files for Image and Video inputs. Please go through the README file if you encounter any difficulty in running the. This guide provides a comprehensive introduction to object pose estimation using OpenCV and Python, covering the technical background, implementation guide, code examples, best. This project provides a static approach to estimate 6D pose (position and orientation) of objects using 3D CAD models in PLY format. The system uses computer vision techniques to detect.