Send your projects up in the clouds

Rocketeer Rocketeer is a modern PHP task runner and deployment package. It is inspired by the Laravel Framework philosophy and thus aims to be fast, elegant, and more importantly easy to use. Like the latter, emphasis

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Erkaman Procedural Generation of Clouds with Vector Graphics. This is just a quick experiment where I tried generating procedural 2D clouds using vector graphics. The experiment is just a program that outputs a bunch of vector clouds as

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Colin97 Meshing-Point-Clouds-with-IER Codes for Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020). [paper] We propose a novel

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juicedata Juicesync is a tool to move your data in object storage between any clouds or regions, also support local file, sftp and HDFS.

robertlevonyan Material Chip View Material Chip view. Can be used as tags for categories, contacts or creating text clouds. Setup Gradle: Add following line of code to your module(app) leve

xingyul FlowNet3D: Learning Scene Flow in 3D Point Clouds Created by Xingyu Liu, Charles R. Qi and Leonidas J. Guibas from Stanford University and Facebook AI Research (FAIR). Citation If you find our work useful in your re

datash Datash Send and Receive files directly from your browser What is Datash (pronunciation: /deΙͺ.ˈtΓ¦Κƒ/) ? Datash helps you to send or receive text or file from one device to another one through br

maudzung The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

FileNation The simplest way to send unlimited files around the world Filenation lets you send files as a link to an email. The files cannot be censored as they are sent stored and transmitted decentralised because it uses

heremaps pptk - Point Processing Toolkit Copyright (C) 2011-2018 HERE Europe B.V. The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds. At present, pptk consists of the follow

WXinlong Associatively Segmenting Instances and Semantics in Point Clouds The full paper is available at: Qualitative results of ASIS on the S3DIS and vKITTI test fold: Overview

happinesslz The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

ycmin95 This repo holds the codes of paper: An Efficient PointLSTM for Point Clouds Based Gesture Recognition (CVPR 2020).

Ghostish The official implementation of ICCV paper "Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds".

eldar Unsupervised Learning of Shape and Pose with Differentiable Point Clouds Eldar Insafutdinov and Alexey Dosovitskiy. Neural Information Processing Systems, 2018. Website: Paper: https://

iralabdisco The goal of this project is to develop a benchmark for point clouds registration algorithms

matheusgadelha Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.

maudzung Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

maudzung Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

plusmultiply This repository contains the implementation of our CVPR2020 paper Multi Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds(MPRM)(paper)