Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Multi-platform, free open source software for visualization and image computing.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A lean C++ library for working with point cloud data

TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.

⚠️ OBSOLETE | Multi-platform, free open source software for visualization and image computing.

End-to-end, automatic face swapping pipeline

This is a code repository for pytorch c++ (or libtorch) tutorial.

Deep face segmentation in extremely hard conditions

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

Ground Segmentation from Lidar Point Clouds

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

ROS & ROS2 Implementation of Patchwork++

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

Neural word segmentation with rich pretraining, code for ACL 2017 paper

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

Free and open source semantic segmentation of 3D point clouds, fast and memory efficient.