Computer Vision (CV)
Augmenta
Support for the Augmenta people tracking system.
NuGet: VL.Augmenta
MediaPipe
A set of nodes to get results out of MediaPipe models to do:
- Face detection and tracking
- Face landmarks
- Hand tracking and gesture recognition
- Object detection and tracking
- Image classification and segmentation
Using mediapipe-touchdesigner under the hood.
NuGet: VL.MediaPipe
OpenCV
Most of the OpenCV library can be used in vvvv. This includes:
- Image filters
- Camera Calibration
- SolvePnP
- Blob-, Contours-, Features- Circles-, Lines-, Marker-, Object (HAARCascade), QRCode detection
- Object Tracking
- FaceRecognition
- Background substraction
NuGet: VL.OpenCV
DlibDotNet
GitHub: VL.DlibDotNet
See also
Relevant libraries that have not yet been tailored for VL. Refer to Using .NET libraries for learning how to explore them.