Search Results for "point cloud compare"
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Showing 200 open source projects for "point cloud compare"
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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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COLMAP
Structure-from-Motion and Multi-View Stereo
COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for the reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license. -
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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. -
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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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Sentinel
Lightweight, powerful flow control component
Sentinel is a powerful flow control component that ensures the reliability and monitoring of microservices by taking “flow” as the breakthrough point. It covers multiple fields including flow control, concurrency limiting, circuit breaking, and adaptive system protection. -
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GmsCore
Free implementation of Play Services
microG GmsCore is a FLOSS (Free/Libre Open Source Software) framework to allow applications designed for Google Play Services to run on systems, where Play Services is not available. The linux-based open-source mobile operating system Android is not only the most popular mobile operating system in the world, it’s also on the way to becoming a proprietary operating system. How is that? While the core operating system is still released as part of the Android Open Source Project, the majority... -
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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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SwanLab
An open-source, modern-design AI training tracking and visualization
SwanLab is an open-source experiment tracking and visualization platform designed to help machine learning engineers monitor, compare, and analyze the training of artificial intelligence models. The tool records training metrics, hyperparameters, model outputs, and experiment configurations so that developers can easily understand how different experiments perform over time. It provides a modern user interface for visualizing results, enabling teams to compare runs, track model performance trends, and collaborate on machine learning research. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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PGHoard
PostgreSQL® backup and restore service
pghoard is a PostgreSQL backup and restore tool that provides encrypted, compressed, and cloud-optimized backups. Developed by Aiven, it supports streaming WAL archiving and full base backups to various cloud storage backends. pghoard is designed for reliability and fast disaster recovery in cloud-native PostgreSQL deployments. -
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CloudCompare
CloudCompare main repository
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory). -
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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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Longhorn
Cloud-Native distributed block storage for Kubernetes
Historically, adding replicated storage to Kubernetes clusters has always been difficult, thus resulting in many non-cloud-hosted Kubernetes clusters not supporting persistent storage. Longhorn is the solution to this. Longhorn provides highly available, persistent storage for Kubernetes. It is lightweight, simplified, reliable and powerful. It’s easy to deploy and upgrade, cloud-native and best of all, completely free and open source. Longhorn has built-in incremental snapshot and backup... -
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floci
Light, fluffy, and always free, the AWS Local Emulator alternative
Floci is a free, open-source local AWS emulator designed as a lightweight alternative for testing cloud applications without using a real AWS account. It is built around a simple Docker-based workflow where developers can start the emulator and point standard AWS tools at a local endpoint. The project emphasizes no accounts, no authentication gates, no paid feature tiers, and broad local service coverage. It supports many AWS-style services, including storage, queues, databases, identity, compute, streaming, deployment, and infrastructure-related APIs. ... -
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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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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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ExternalDNS
Configure external DNS servers (AWS Route53, Google CloudDNS and other
ExternalDNS synchronizes exposed Kubernetes Services and Ingresses with DNS providers. Inspired by Kubernetes DNS, Kubernetes' cluster-internal DNS server, ExternalDNS makes Kubernetes resources discoverable via public DNS servers. Like KubeDNS, it retrieves a list of resources (Services, Ingresses, etc.) from the Kubernetes API to determine the desired list of DNS records. Unlike KubeDNS, however, it's not a DNS server itself, but merely configures other DNS providers accordingly, e.g. AWS... -
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Private Mind
Your private AI mind. In your pocket
Private Mind is a mobile AI app built around fully offline, on-device intelligence. It is designed for users who want AI conversations without sending personal data to cloud servers. The app keeps conversations and data on the device, which makes it useful for privacy-sensitive workflows, personal notes, local assistance, and offline use. It supports customizable AI behavior, including choosing supported models, uploading models, and adjusting system prompts. The project also includes built-in benchmarking so users can compare performance, speed, and memory usage on their own hardware. ... -
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Generative AI
Sample code and notebooks for Generative AI on Google Cloud
...It is licensed under Apache-2.0, opensourced and maintained by Google, meaning it's designed with enterprise-grade practices in mind. Overall, it serves as a practical entry point and reference library for building real-world generative AI systems on Google Cloud. -
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Unstract
No-code LLM Platform to launch APIs and ETL Pipelines
...Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases. -
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Ansvisor
Open-source Answer Engine Optimization platform
...It can be self-hosted with unlocked features or used through a managed cloud option, making it useful for SEO teams, content marketers, agencies, and brands adapting to AI search. -
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AWS VPC Terraform module
Terraform module which creates VPC resources on AWS
Terraform module which creates VPC resources on AWS. By default this module will provision new Elastic IPs for the VPC's NAT Gateways. This means that when creating a new VPC, new IPs are allocated, and when that VPC is destroyed those IPs are released. Sometimes it is handy to keep the same IPs even after the VPC is destroyed and re-created. To that end, it is possible to assign existing IPs to the NAT Gateways. This prevents the destruction of the VPC from releasing those IPs, while making... -
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LAMDA
Android reverse engineering & automation framework
...It is not a single-function framework. To give you a general idea of its usefulness: Do you install various agents, plug-ins, or point-and-click settings on your phone to complete your work? Do you want to operate a mobile phone thousands of miles away in a different place? Do you have the need to programmatically control your phone? Are you still paying for expensive IP switching , remote ADB debugging , RPA automation and even logcat logs from some cloud mobile phone manufacturers? ... -
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EC2Instances.info
Amazon EC2 instance comparison site
ec2instances is an open-source project that powers an intuitive, searchable comparison site for Amazon EC2 instance types, helping developers and cloud architects quickly evaluate compute options without the friction of navigating multiple AWS console screens. The site aggregates key metrics — including CPU, memory, storage, networking specs, and pricing — across many instance families, and lets users filter, sort, and visually compare configurations side by side. It was created to simplify decision-making for cloud provisioning, making it easier to choose the best instance type for performance and cost goals, and it’s maintained by the Vantage community to stay updated with current AWS offerings and user suggestions. ... -
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UCO3D
Uncommon Objects in 3D dataset
uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based...
