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tuskaw's Projects

polylidar icon polylidar

Polylidar3D - Fast polygon extraction from 3D Data

pose2mesh_release icon pose2mesh_release

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

posecnn icon posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

ppt-net icon ppt-net

Pyramid Point Cloud Transformer for Large-Scale Place Recognition

prismatic icon prismatic

Prismatic is a declarative JS library for creating 3D content for the Helio browser.

pseudo_lidar icon pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

pseudo_lidar_v2 icon pseudo_lidar_v2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

pv-raft icon pv-raft

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

pvcnn icon pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

pvnet icon pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycalib icon pycalib

Simple Camera Calibration Examples in Python for Beginners

pycot icon pycot

Python Cursor on Target (CoT) is a Python Module for serializing CoT Events for use with TAK clients & servers

pydnet icon pydnet

Repository for pydnet, IROS 2018

pygpu icon pygpu

A very simple interface for Python3 to call GPU to do parallel processing.

pygt icon pygt

Python library for goTenna Mesh devices

pytak icon pytak

Python Team Awareness Kit (PyTAK) is a Python Module for creating TAK clients

python-pcl icon python-pcl

Python bindings to the pointcloud library (pcl)

python-zstd icon python-zstd

Simple python bindings to Yann Collet ZSTD compression library

pytorch-3dunet icon pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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