Search Results for "point cloud dataset"
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Showing 37 open source projects for "point cloud dataset"
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. -
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Image Harmonization Dataset iHarmony4
The first large-scale public benchmark dataset for image harmonization
This repository provides the iHarmony4 dataset, which is a large-scale dataset designed for image harmonization tasks. Image harmonization involves adjusting the appearance of a foreground in a composite image so that it is consistent with the background (in color, tone, illumination, etc.). The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with... -
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Intel RealSense
Intel® RealSense SDK
Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras. The SDK allows depth and color streaming and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer be available for new orders. Intel WILL continue to sell and support stereo products including the following: D410, D415, D430, , D401 ,D450 modules and D415, D435, D435i, D435f, D405, D455, D457 depth cameras. ... -
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GitHub Actions for Firebase
GitHub Action for interacting with Firebase
...A normal service account key(json format) or a base64 encoded service account key with the needed permissions for what you are trying to deploy/update. If you're deploying functions, you would also need the Cloud Functions Developer role, and the Cloud Scheduler Admin for scheduled functions. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. ... -
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loxilb
eBPF based cloud-native load-balancer
loxilb is an open source cloud-native load-balancer based on GoLang/eBPF with the goal of achieving cross-compatibility across a wide range of on-prem, public-cloud or hybrid K8s environments. Kubernetes defines many service constructs like cluster-ip, node-port, load-balancer etc for pod-to-pod, pod-to-service, and service from outside communication. All these services are provided by load balancers/proxies operating at Layer4/Layer7. Since Kubernetes's is highly modular, these services can... -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
...Connectivity moves from remote polling to publish-subscribe, the control plane moves from point-and-click interfaces to infrastructure as code workflows and self-service developer APIs. -
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FullStackHero .NET 9 Starter Kit
Production Grade Cloud-Ready .NET 8 Starter Kit
FullStackHero .NET Starter Kit is a starting point for your next .NET 9 Clean Architecture Solution that incorporates the most essential packages and features your projects will ever need including out-of-the-box Multi-Tenancy support. This project can save well over 200+ hours of development time for your team. -
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SponsorBlock
Skip YouTube video sponsors (browser extension)
SponsorBlock is an open-source crowdsourced browser extension and open API for skipping sponsor segments in YouTube videos. Users submit when a sponsor happens from the extension, and the extension automatically skips sponsors it knows about using a privacy-preserving query system. It also supports skipping other categories, such as intros, outros, and reminders to subscribe, and skipping to the point with highlights. The extension also features an upvote/downvote system with a weighted... -
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.NET Core Home
Home repository for .NET Core
This is the dotnet/core repository and is a good starting point for .NET Core, an open source general-purpose development framework for building cross-platform apps. .NET Core lets you create apps for Windows, macOS or Linux, as well as ARM64 processors using various programming languages. It provides frameworks and APIs for cloud, client UI, IoT, and machine learning. The latest major release (as of this writing) is .NET Core 3.1. -
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Ocelot
.NET core API Gateway
Ocelot is a .NET API Gateway. This project is aimed at people using .NET running a micro services / service-oriented architecture that need a unified point of entry into their system. However, it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. Ocelot manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a... -
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tsuru
Open source and extensible Platform as a Service (PaaS)
...Let your developers code and understand the business instead of solving infrastructure problems or handling large configuration files. We built the platform as a service atop of battle-tested technologies from Cloud Native Computing Foundation stack. Manage your distributed apps in many kubernetes clusters/regions with a single point of control. Tsuru is an open source project and, as such, we welcome contributions. Feel free to report or fix bugs, contribute to the documentation, or just give your opinion about the software. -
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Athens
A Go module datastore and proxy
Athens provides a server for Go Modules that you can run. It serves public code and your private code for you, so you don’t have to pull directly from a version control system (VCS) like GitHub or GitLab. There are many reasons why you’d want a proxy server such as security and performance. Athens is a project building on top of vgo (or go1.11+) trying to bring dependencies closer to you so you can count on repeatable builds even at a time when VCS is down. The big goal of Athens is to... -
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Amplication
Amplication is an open‑source development tool
...Safely customize your generated app Node.js code using your favorite IDE. Decide whether to download the app within a Docker container that’s ready for deployment or to deploy to the Amplication cloud. At any point you’re free to download the source code and continue development elsewhere. We are a group of creators who love open‑source and low‑code. We believe that low‑code application development will evolve into a modern‑day programming language. -
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MySQL Operator
Asynchronous MySQL Replication on Kubernetes using Percona Server
MySQL Operator enables bulletproof MySQL on Kubernetes. It manages all the necessary resources for deploying and managing a highly available MySQL cluster. It provides effortless backups, while keeping the cluster highly available. If the operator has helped you out with your projects, please consider sponsoring it to speed up the development. Issues are answered in this repo on a best-effort basis. For paid commercial support, deployment, integration and prioritizing of features, please... -
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fog
The Ruby cloud services library
Whether you need compute, dns, storage, or a multitude of other services, fog provides an accessible entry point and facilitates cross-service compatibility. Just getting started working with cloud resources? You are not alone, and having so many complicated options makes it hard to know where to start. fog delivers the knowledge of cloud experts to you, helping you to bootstrap your cloud usage and guiding you as your own expertise develops. -
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stolon
PostgreSQL cloud native High Availability and more
stolon is a cloud-native PostgreSQL manager for PostgreSQL high availability. It's cloud-native because it'll let you keep a high available PostgreSQL inside your containers (Kubernetes integration) but also on every other kind of infrastructure (cloud IaaS, old-style infrastructures, etc...) -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
...Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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DockerSelenium
Selenium in Docker with Chrome and Firefox
...Letting more than 1 docker-selenium project grow to be able to learn from each other's success or failures ultimately impacts the final users positively. This doesn't discard that at some point all selenium maintainers will sit together a sprint to coordinate some major changes and cleanup open issues and perhaps we might merge N similar projects in the future. -
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XIVO
X Inertial-aided Visual Odometry
...XIVO runs at 140FPS on stored data (here from a RealSense D435i sensor) or on live streams with a latency of around 1-7ms, depending on the hardware. It takes as input video frames from a calibrated camera and inertial measurements from an IMU and outputs a sparse point cloud with attribute features and 6 DOF pose of the camera. It performs auto-calibration of the relative pose between the camera and the IMU as well as the time-stamp alignment. -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
...Runtime depends on number of detected people. Input: Image, video, webcam, Flir/Point Grey, IP camera, and support to add your own custom input source (e.g., depth camera). -
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Spring Cloud Examples
Spring Cloud learning cases, service discovery, service governance
...By studying the examples, one can understand how Spring Cloud works in practice: how to structure services, how to configure them, and how they interact under realistic conditions. For developers new to microservices or to Spring Cloud, this repo lowers the barrier to adoption by offering a ready-made baseline they can inspect, run, and modify. It can also function as a reference when designing architecture for a cloud-native backend, or as a starting point for a new microservices project. -
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Dynamic Robot Localization
Point cloud registration pipeline for robot localization and 3D
...It's a modular localization pipeline, that can be configured using yaml files (detailed configuration layout available in drl_configs.yaml and examples of configurations available in guardian_config and dynamic_robot_localization_tests). Even though this package was developed for robot self-localization and mapping, it was implemented as a generic, configurable and extensible point cloud matching library, allowing its usage in related problems such as estimation of the 6 DoF pose of an object and 3D object scanning. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income...
