WebCam 0.10.1.259-beta1

.NET Framework 4.0
This is a prerelease version of WebCam.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package WebCam --version 0.10.1.259-beta1
NuGet\Install-Package WebCam -Version 0.10.1.259-beta1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="WebCam" Version="0.10.1.259-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add WebCam --version 0.10.1.259-beta1
#r "nuget: WebCam, 0.10.1.259-beta1"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package. 
// Install WebCam as a Cake Addin
#addin nuget:?package=WebCam&version=0.10.1.259-beta1&prerelease

// Install WebCam as a Cake Tool
#tool nuget:?package=WebCam&version=0.10.1.259-beta1&prerelease

The WebCam gives Windows C# developers easy access to both live web-cam and now video files for both windowed and non-windowed (background thread) applications. The following changes have been added to this version of the WebCam Control:

  • Optimized SampleGrabber use.
  • Added headless support for background thread use of both WebCam and Video File snapshots.
  • Added IsAtEnd, Duration, CurrentPosition and SetPosition for Video File support.
  • Extended Open functionality to easily support both WebCam and Video Files on either foreground or background threads.
  • Resolved clean-up bugs.

The WebCam control is ideal for use with Deep Learning platforms such as MyCaffe. The MyCaffe AI Platform uses the WebCam control in its VideoDataLayer to stream video data into deep learning models. For more information on MyCaffe see the Nuget MyCaffe Control.

For more information on the WebCam Control, see the WebCam GitHub Site.

And, for more information on deep learning development tools, see the SignalPop AI Designer which allows developers to easily build visual AI models with simple drag-n-drop operations and visually test the results with numerous debugging features.

Product Versions
.NET Framework net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 net481
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on WebCam:

Package Downloads
MyCaffe

A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with GPT, Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.11.8.27 358 11/23/2022
1.11.7.7 633 8/8/2022
1.11.6.38 546 6/10/2022
0.11.6.86-beta1 131 2/11/2022
0.11.4.60-beta1 234 9/11/2021
0.11.3.25-beta1 179 5/19/2021
0.11.2.9-beta1 192 2/3/2021
0.11.1.132-beta1 222 11/21/2020
0.11.1.56-beta1 235 10/17/2020
0.11.0.188-beta1 280 9/24/2020
0.11.0.65-beta1 331 8/6/2020
0.10.2.309-beta1 404 5/31/2020
0.10.2.124-beta1 358 1/21/2020
0.10.2.14-beta1 271 11/26/2019
0.10.1.259-beta1 287 10/6/2019
0.10.1.237-beta1 259 9/27/2019

The WebCam is used by the MyCaffe AI Platform for efficient access to Video Data when performing Single Shot MultiBox Detection (SSD).