All Projects → bibigone → Astradotnetdemo

bibigone / Astradotnetdemo

Simple .Net solution to demonstrate working with Orbbec Astra (Pro) depth sensors from C#

Programming Languages

csharp
926 projects

Labels

Projects that are alternatives of or similar to Astradotnetdemo

Kinect Dataset Builder
No description or website provided.
Stars: ✭ 16 (-42.86%)
Mutual labels:  depth
learning-topology-synthetic-data
Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-21.43%)
Mutual labels:  depth
Arcore Depth Lab
ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)
Stars: ✭ 407 (+1353.57%)
Mutual labels:  depth
diskusage
FANTASTIC SPEED utility to find out top largest folders/files on the disk.
Stars: ✭ 64 (+128.57%)
Mutual labels:  depth
M4Depth
Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
Stars: ✭ 62 (+121.43%)
Mutual labels:  depth
Revisiting single depth estimation
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
Stars: ✭ 271 (+867.86%)
Mutual labels:  depth
Three-Filters-to-Normal
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)
Stars: ✭ 41 (+46.43%)
Mutual labels:  depth
Sfmlearner Pytorch
Pytorch version of SfmLearner from Tinghui Zhou et al.
Stars: ✭ 718 (+2464.29%)
Mutual labels:  depth
CNMNet
ECCV 2020
Stars: ✭ 39 (+39.29%)
Mutual labels:  depth
Mosdepth
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
Stars: ✭ 376 (+1242.86%)
Mutual labels:  depth
depth-from-defocus-and-correspondence
⛄Depth from Combining Defocus and Correspondence Using Light-Field Cameras.
Stars: ✭ 17 (-39.29%)
Mutual labels:  depth
one-click-tangle
"One Click Tangle" intends to make lives easier to IOTA adopters by providing pre-configured scripts and recipes that allow to deploy IOTA Networks and Nodes "in one click".
Stars: ✭ 43 (+53.57%)
Mutual labels:  depth
Deca
DECA: Detailed Expression Capture and Animation
Stars: ✭ 292 (+942.86%)
Mutual labels:  depth
FisheyeDistanceNet
FisheyeDistanceNet
Stars: ✭ 33 (+17.86%)
Mutual labels:  depth
Demon
DeMoN: Depth and Motion Network
Stars: ✭ 501 (+1689.29%)
Mutual labels:  depth
GeoSup
Code for Geo-Supervised Visual Depth Prediction
Stars: ✭ 27 (-3.57%)
Mutual labels:  depth
plenopticam
Light-field imaging application for plenoptic cameras
Stars: ✭ 111 (+296.43%)
Mutual labels:  depth
Depth
Add some Depth to your fragments
Stars: ✭ 789 (+2717.86%)
Mutual labels:  depth
Depth clustering
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Stars: ✭ 657 (+2246.43%)
Mutual labels:  depth
Stereonet Activestereonet
stereo matching StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018; ActiveStereoNet:End-to-End Self-Supervised Learning for Active Stereo Systems ECCV2018 Oral
Stars: ✭ 308 (+1000%)
Mutual labels:  depth

AstraDotNet Demo

This is a simple .Net solution to demonstrate working with Orbbec Astra (Pro) depth sensors from C#.

Features:

  • Visualization of depth and color streams
  • Visualization of body tracking (as stick skeletons over depth map)
  • Calculation of actual frame rate (FPS, frames per second)
  • Support for multiple sensors connected to one PC
  • Registration mode switcher for depth stream (registration allows to align depth map with color image)
  • Any CPU (support for both 32-bit and 64-bit architectures)

How to use:

  • Open AstraDotNetDemo.sln in Visual Studio 2017
  • Build and run AstraTestWpf application (F5)
  • All required binaries and libraries are already in repository (see externals folder) and are copied automatically to output directory during build

Known issues in Astra SDK:

  1. For Astra PRO actual frame rate is not exactly 30 FPS. It is about 29.7 FPS for depth only mode, and about 28.5 FPS for depth+color mode.
  2. When more than one sensor is connected to one and the same PC, the following limitations take place:
  • For Astra PRO sensors: lowering of frame rate to 15 FPS if color stream is on
  • For Astra PRO sensors: you can see live color stream only from one sensor (black screen for other sensors)
  • Body (skeletal) tracking doesn't work if it is turned on for more than one sensor
  1. Wrong information about field-of-view for color stream.
  2. Donot unplug sensor while application is running. In other case application may crash on exit.

Stuff used to make this:

License:

Astra SDK is licensed under Apache v2.0 and includes components of OpenNI and OpenCV projects.

This sample code is licensed under MIT license.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].