Search Results for "convert point cloud"
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Showing 38 open source projects for "convert point cloud"
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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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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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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history - digitalized - accessible anywhere from Mobile or Desktop. ... -
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Discontinuity Set Extractor (DSE) is programmed by Adrián Riquelme for testing part of his PdD studies. Its aim is to extract discontinuity sets from a rock mass. The input data is a 3D point cloud, which can be acquired by means of a 3D laser scanner (LiDAR or TLS), digital photogrammetry techniques (such as SfM) or synthetic data. It applies a proposed methodology to semi-automatically identify points members of an unorganised 3D point cloud that are arranged in 3D space by planes.
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IQcad
A 2D CAD application for civil engineering , built with Free Pascal
...Features: 25+ entity types (Line, Polyline, Arc, Circle, Spline, Hatch, Text, Dimensions, Table, and more) AutoCAD-style command line with object snaps and grip editing Modify tools: Move, Copy, Rotate, Scale, Mirror, Offset, Trim, Extend, Chamfer, Fillet Layers, linetypes, blocks, and configurable styles Civil Engineering: TIN surfaces with contours and spot elevations Survey points with CSV import and point groups Tunnel section lines with deviation analysis Horizontal alignments with curves and spirals LandXML import/export File Formats: DXF (R12/R2000/R2018), LandXML, PDF, PNG, SVG,DWG ( using ODA converter or Librecad dwg reader) WMS server support Point Cloud import export. Section along alignment Modern ribbon UI with dark theme, multi-document tabs, and map background layers. -
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xrayutilities
a package with useful scripts for X-ray diffraction physicists
...It can support with performing diffraction experiments and used for common steps in the data analysis. It can read experimental data from several data formats (spec, edf, xrdml, ...); convert them to reciprocal space for arbitrary goniometer geometries and different detector systems (point, linear as well as area detectors); for further processing the data can be gridded (transformed to a regular grid). More detailed description as well as documentation can be found at webpage http://xrayutilities.sourceforge.io/. ... -
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OSHMI - Open Substation HMI
SCADA HMI for substations, IoT and automation applications
Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not... -
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. ... -
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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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Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists... -
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Semantic Segmentation Editor
Web labeling tool for bitmap images and point clouds
A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js. -
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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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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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3DFOREST
tool for manage and process TLS lidar data from forest environment
Software tool for tree atributes extraction from point cloud data acquired by terrestrial laser scanner in forest enviroment. 3DForest is not only a visualizer af data but brings new and complex data management for foresters and researchers -
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Solar Wi-Fi weather station on ESP12
Solar Wi-Fi weather station on ESP12
#ESP.Meteo: Solar Wi-Fi weather station on ESP12 + ionistor + solar panel Current Functionality: *Forecasting the probability of frosts (according to the methods of Professor Brounov) *Forecast of the height of the lower edge of the cloud (VNGO by Selezneva) *Calculation of the height of the sensor according to the barometric formula (altimeter, for other projects) *Measurement of street temperature *Measurement of outdoor humidity *Measurement of street pressure *Calculation of the dew point *Monitoring of voltage on ionistors (charge-discharge control) *Monitoring the opening of the box flap with potatoes *Monitoring the system time-out every 5 minutes (operating time ~ 480 ms) *Monitoring the temperature on the balcony (the ability to connect up to 16 sensors DS18B20: 2 groups of 8 sensors per two APIKEY) *Sending data to the Thingspeak cloud *Sending data to Twitter -
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ofxKuZed-zedExample
Compiled example for ofxKuZed addon
This is openFrameworks's ofxKuZed addon with compiled example of its usage. This example shows depth map, masked color image and point cloud from StereoLabs ZED. Requirements: - Windows - ZED SDK 1.0 or later (https://cloud.mail.ru/public/8Luw/yPxdYh91A) - CUDA 7.5 (and NVidia card) https://cloud.mail.ru/public/79z4/164HTQkeq - Visual Studio 2015 Community C++ (or its redistributables https://cloud.mail.ru/public/AgYD/r9JLgBc9y) See details on installation and example usage at GitHub: https://github.com/kuflex/ofxKuZed -
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Point Cloud Skinner for Blender
Python script (addon) for Blender to skin point cloud (verts to face).
...Features: This script, Point Cloud Skinner can skin a cloud of vertices, which means to create a 3D surfaced mesh out of just a cloud of vertices that has no faces. It can skin any shapes of point clouds, such as a surveyed geography point cloud that represents a landform somewhere, a fluid volumetric point cloud obtained by numerical fluid simulation, or anything you like. -
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FASTQSim
NGS data characterization and in silico read generation
FASTQSim is a tool that provides the dual functionality of Next-Gen Sequencing dataset characterization and metagenomic data generation. FASTQSim is sequencing platform-independent, and computes distributions of read length, quality scores, indel rates, single point mutation rates, indel size, and similar statistics for any sequencing platform. To create training or testing datasets, FASTQSim has the ability to convert target sequences into in silico reads with matching error profiles. FASTQsim allows the user to simulate individual read datasets that can be used as standardized test scenarios for planning sequencing projects or for benchmarking metagenomic software. ... -
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Manifold mesh processing
Mesh and point cloud processing tools
A suite of tools for processing and analyzing meshes and point clouds. 1) Ensuring that meshes are manifold, ie, "nice" 2) Simple smoothing/noise reduction 3) Bare-bones point cloud to mesh and robust normals for point clouds 4) Mesh simplification 5) Curvature calculation on meshes 6) Local shape descriptors on meshes -
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Canopy Reconstruction
Software for the reconstruction of plants using multiple camera views
This software reconstructs 3D plant models in multiple views. Point cloud input is segmented, then patches of leaf surface are grown using the level set method. Please see the CPIB website for news of updates and further development. -
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Point Cloud Library
Standalone, large scale, open project for 3D point cloud 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. We are financially supported by Open Perception, Willow Garage, NVIDIA, Google, Toyota, Trimble, Urban Robotics, Honda Research Institute, Sandia, Dinast, Optronic, Ocular Robotics, Velodyne, Fotonic, Leica Geosystems, and MKE. -
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Opal is a toolkit for wrapping scientific applications as Web services on Cluster, Grid and Cloud resources with ease. Users may access these software as a service using simple Web service APIs from their custom application and workflow environment.
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EkNN
Extracting k nearest neighbors for point cloud
Speed up kNN searching algorithm by extracting nearest neighbors diectly other than searching them one by one