3D object reconstruction with multi-view RGB-D images.

Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.

Import a point cloud file and perform poisson 3D surface reconstruction algorithm, integrated with third-party libraries (e.g. open3d, pymeshlab...)

The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented using the Open3d python package. The resulting 3D point cloud can then be processed to detect objects in the surrounding environment.

Provide Docker build sequences of Open3D for various environments.

3D scene mapping system that using PyTorch's MiDaS model to estimate scene point cloud

Course submission material for Lidar point cloud based 3D Detection using Yolo for Udacity Self Driving Nanodegree

🦾 🎭 An OpenCV based python application to add 3D mask to videos using Google mediapipe

Simple 3D-Scanner/PCD generator using Intel Realsense L515 camera and rotation matrices

TDAzureMerger: a Point-Cloud Merger for Azure Kinects.

Python module to query an fetch the 3D-ARD project

Implementación de algoritmos de aprendizaje no supervisado para realizar clustering a los datos del sensor LIDAR del KITTI-dataset

Type stubs for Open3D

3D Surface and Mesh Reconstruction from RGB Videos using COLMAP and Open3D

Stereo camera depth estimation with opencv and visualization in Open3D on jetson nano with CUDA support

open3d-visualise-point-cloud-in-bin-format

This Python script reconstructs 3D models from 2D images. It uses a pre-trained deep learning model for depth estimation and Open3D for 3D processing, generating a point cloud and a 3D mesh as output.

A modular, high-fidelity 3D inspection framework for detecting geometric deviations in engineered components through CAD-referenced scan analysis, precise point cloud registration, and spatial deviation mapping.

🛰 Ce tutoriel contient des exemples pour cartographier en 3D les nuages de points de terrain de l’émulation planétaire canadienne en Python. 🛰 This tutorial script contains samples for 3D mapping the Canadian Planetary Emulation Terrain point clouds in Python.