Search Results for "lidar linux"

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...

Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.

This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc.

A library of tools and API (C++ and Python) for the storage and processing of large 3D laser scanning (LiDAR, ALS, TLS) datasets using a pulse based spatially indexed file format (SPD) which support for both discrete return and full waveform datasets. Code has moved to https://bitbucket.org/petebunting/spdlib

MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm.

Build on top of SPDLib this application provides a 3D points viewer for the visualisation of laser scanning data (e.g., LiDAR and TLS). The GUI is developed using QT and C++ and has been provided/tested for Mac OS X but can be complied on others. Code has been moved to https://bitbucket.org/petebunting/spd-3d-points-viewer.

The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.

TLSpy is a set of multiplatform Python tools for working with Terrestrial Lidar Scanner (TLS) data.