Updates from VisionLib – Release 2.2 Available
There is a new VisionLib Version available. Release 2.2.0 is a maintenance release introducing improvements to the performance of internal image processing, several bug fixes & enhancements and updates to external dependencies to remove known vulnerabilities.
As usual, VisionLib comes with enterprise-grade model tracking, multi object-tracking, ARFoundation integration, TextureColorMode to derive a line model from texture, and so much more.
Good debugging options, examples scenes, direct influence on the vision system, and offsite testing with recorded sessions and image sequences make development easy. Explore the update now.
What Updates Come with 2.2.0?
We’ve made changes to ModelTracker.cs and TrackingAnchor.cs which enable to load additional models (model parts) for one tracking target during runtime, or to load a dedicated model, specified by an uri.
The DeviceInfo.Camera now has properties (supportsDepthData and supportsSmoothedDepthData)to check for the acquisition of (smoothed) depth data, working with respective (depth-capable) cameras.
To remove known vulnerabilities, we’ve updated external dependencies (curl, Eigen, ffmpeg, libJPEG, libPNG, libTIFF, OpenCV, OpenSSL), and removed external dependencies entirely for: imagexx, jpegxx and pngxx.
The table below highlights the changes. You can also compare the current list of dependencies (2.2.0) with the list of the prior SDK version (2.1.0) to check whether this might impact you.
With every new VisionLib release, there is an update to VisLab. Get it now.
Learn VisionLib – Workflow, FAQ & Support
We help you apply Augmented- and Mixed Reality in your project, on your platform, or within enterprise solutions. Our online documentation and Video Tutorials grow continuously and deliver comprehensive insights into VisionLib development.
Check out these articles: Whether you’re a pro or a starter, our new documentation articles on understanding tracking and debugging options will help you get a clearer view on VisionLib and Model Tracking.