Python Lidar-point-cloud Resources

ieee754 ieee754 is small Python library which gives you the IEEE-754 representation of a floating point number. You can specify a precision given in t

Python + Poetry REST API with FastAPI, hosted on GCP This template will get you ready to deploy a FastAPI app in Google Cloud with automatic API versi

ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de

CloudPipesGenerator Documentation | Colab Notebooks | Video Tutorials | Master Degree website A generator of point clouds dataset for PyPipes. TODO Us

Vis2Mesh This is the offical repository of the paper: Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Lear

Panasonic Comfort Cloud MQTT Bridge Home-Assistant MQTT bridge for Panasonic Comfort Cloud. Note: Currently this brige is a one evening prototype proj

Attention-based Transformation from Latent Features to Point Clouds This repository contains a PyTorch implementation of the paper: Attention-based Tr

PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo

Ionburst SDK for Python The Ionburst SDK for Python enables developers to easily integrate with Ionburst Cloud, building in ultra-secure and private o

prefect-saturn prefect-saturn is a Python package that makes it easy to run Prefect Cloud flows on a Dask cluster with Saturn Cloud. For a detailed tu

urban_road_filter: a real-time LIDAR-based urban road and sidewalk detection algorithm for autonomous vehicles Dependency ROS (tested with Kinetic and

Earth System Model Aerosol-Cloud Diagnostics Package This Earth System Model (ES

Kubernetes Volume Autoscaler (with Prometheus) This repository contains a service that automatically increases the size of a Persistent Volume Claim i

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Introduction We introduce the task of dense captioning in 3D scans from commodity RGB-D sensor

Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u

UnpNet Citation Please cite the following paper if you use this repository in your reseach. @article {PMID:34914599, Title = {Rethinking 3-D LiDAR Po

Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving This paper has been accpeted by Conference o

TarkovScrappy A nifty little bot that lets you know if a queried item might be required for a quest at some point in the land of Tarkov! Hideout items

Emissary-ingress Emissary-Ingress is an open-source Kubernetes-native API Gateway + Layer 7 load balancer + Kubernetes Ingress built on Envoy Proxy. E

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta

Hands-on Practice Learning Lab for Data Science Overview This hands on practice lab is a part of Data Visualization with Python course offered by Cour

Storage Optimizer Identify potintial optimizations on the cloud storage accounts

Python interface to IEX Cloud Referral Please subscribe to IEX Cloud using this referral code. Getting Started Install Install from pip pip install py

Backend.AI Client The official API client library for Backend.AI Usage (KeyPair mode) You should set the access key and secret key as environment vari

Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu

Terraform Remote State Manager(tfremote) tf is a python package for managing terraform remote state for: Google(Gcloud), AWS, and Azure. It sets a def

Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.

Process Events In Style This library aims to simplify the common pattern of event processing. It simplifies the process of filtering, dispatching and

Autonomous Perception: 3D Object Detection with Complex-YOLO LiDAR object detect

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.

PERSONAL-PROJECTS CARLOS MAGALLANES-ARANDA'S PERSONAL PROJECTS kchess.py is the code. its input is the start and the end. EXMPLE - a1 d5 its output is

Gaia - Gaia: Your Environment News Curator Call for Code 2021 Gaia: a chrome extension that curates environmental news of a company Explore the docs »

FastAPI Cloud Auth fastapi-cloudauth standardizes and simplifies the integration between FastAPI and cloud authentication services (AWS Cognito, Auth0

I made this project for my university course in robotics. I rarely found any information regarding the implementation of mathematics in code. So I decided to make this repo in order to help others :) I got these methods checked by my tutor but feel free to connect if something needs to be changed.

PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the

generate_cloud_points Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh. Run python disp_mesh.py Or you

Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D

Relé makes integration with Google PubSub straightforward and easy. Motivation and Features The Publish-Subscribe pattern and specifically the Google

Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.

Google Text-To-Speech Batch Prompt File Maker Are you in the need of IVR prompts, but you have no voice actors? Let Google talk your prompts like a pr

Cookiecutter Google Function Cookiecutter template for a Google Function. Powered by Poetry, and GitHub actions. Quickstart Install the latest Cookiec

Apprentice Apprentice is a framework built for developing Google Actions via Dialogflow and Google Cloud (serverless) Functions. Includes: plug-and-pl

drover drover: a command-line utility for deploying Python packages to Lambda functions. Background This utility aims to provide a simple, repeatable,

⚡ Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –

NPPDecay This is our implementation for the paper Self-Adaptable Point Processes with Nonparametric Time Decays, by Zhimeng Pan, Zheng Wang, Jeff M. P

Google Cloud Platform Python Samples Python samples for Google Cloud Platform products. Setup Install pip and virtualenv if you do not already have th

High-Performance MLS-MPM Solver with Cutting and Coupling (CPIC) (MIT License) A Moving Least Squares Material Point Method with Displacement Disconti

Terraform Cloud Version Manager This tiny script makes it easy to update the Terraform Version on all of the Workspaces inside Terraform Cloud. It wil

简体中文 forza_auto_gear forza_auto_gear is a tool for Forza Horizon 5. It will help us understand the best gear shift point using Manual or w/ Clutch in

DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration [video] [paper] [supplementary] [data] [thesis] Introduction De

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

BERT-based Financial Question Answering System In this example, we use Jina, PyTorch, and Hugging Face transformers to build a production-ready BERT-b

Neural Point-Based Graphics Project   Video   Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3

holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic

pcs-toolbox Prisma Cloud utility scripts, and a Python SDK for Prisma Cloud APIs. Table of Contents Support Setup Configuration Script Usage CSPM Scri

Description Scout Suite is an open source multi-cloud security-auditing tool, which enables security posture assessment of cloud environments. Using t

COSCO Framework COSCO is an AI based coupled-simulation and container orchestration framework for integrated Edge, Fog and Cloud Computing Environment

Example on how to query events by a RESTful API, compose CEF event format and send the events to an UDP receiver.

We are providing DevOps and security teams script to identify cloud workloads that may be vulnerable to the Log4j vulnerability(CVE-2021-44228) in their AWS account. The script enables security teams to identify external-facing AWS assets by running the exploit on them, and thus be able to map them and quickly patch them

Prophet is a tool to discover resources detailed for cloud migration, cloud backup and disaster recovery

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim

AWS Chalice Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.

Kong or Kong API Gateway is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugi

points2d_projection_mesh Input 2D points (e.g. facial landmarks) on an image Camera parameters (extrinsic and intrinsic) of the image Aligned 3D mesh

poro Description Scan for publicly accessible assets on your AWS environment Services covered by this tool: AWS ELB API Gateway S3 Buckets RDS Databas

Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services,

Minato Cache & file system for online resources in Python Features Minato enables you to: Download & cache online recsources minato supports the follo

Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since

Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point

Robust Place Recognition using an Imaging Lidar A place recognition package using high-resolution imaging lidar. For best performance, a lidar equippe

Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion This repo intends to release code for our work: Zhaoyang Lyu*, Zhifeng

Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point

Bayesian Deep Learning for Manufacturing 2.0 (dlmfg) Object Shape Error Response (OSER) Digital Lifecycle Management - In Process Quality Improvement

GalbiBot Un bot leggero basato su py-cord facile da hostare sul cloud Guida installazione su una macchina Per far funzionare il bot devi aver installa

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021) This is the implementation of PSD (ICCV 2021),

Python Client for Yandex Cloud Logging Installation pip3 install python-yandex-cloud-logging Creating a Yandex Cloud Logging Group yc logging group c

AuthwarePy Asynchronous wrapper for Authware in Python 3.5+ View our documentation 📲 Installation Run this to install the library via pip: pip instal

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds PCAM: Product of Cross-Attention Matrices for Rigid Registration of P

Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis

Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in

The simplest way to deploy your apps in the Cloud Deploy your apps on any Cloud providers in just a few seconds ⚡ Qovery Engine is an open-source abst

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds DLO is a lightweight and computationally-efficient frontend LiDAR odometry solution w

Monochrome Monochrome's API, implemented with Deta Base and Deta Drive. Create a free account on Deta to test this out! Most users will prefer the Mon

TREE HEIGHT EXTRACTION IN SPARSE SCENES BASED ON UAV REMOTE SENSING This is the offical python implementation of the paper "Tree Height Extraction in

XDR Tuner Adjust the white point, gamma or make your XDR display darker without losing HDR peak luminance or the ability to adjust display brightness

Cooperative Driving Dataset (CODD) The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple

HybridBackend Introduction HybridBackend is a training framework for deep recommenders which bridges the gap between evolving cloud infrastructure and

distributed-blockchain-based-secure-file-dedupe Searching is Distributed, Block and Access List for each upload is unique and it is stored in a single

🤖 RoboCop 🤖 Small Robot, with LIDAR and DepthCamera. Using ROS for Maping and Navigation Made by Clemente Donoso, 📍 Chile 🇨🇱 RoboCop Lateral Fron

Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo

Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the

30daysleaderboard #Hacktoberfest - Please don't make changes in readme file. Only improvement in the project will be accepted. Update - Now if you run