v0.8.1.0 Release

Changelog (v0.8.1.0)

• NEW! Eye Contact feature: an AI algorithm to help users keep their gaze engaged in video communication. The feature jointly estimates a user’s gaze direction and redirects it to frontal in video sequences.
• NEW! Face Expression Estimation (Beta) feature estimates facial expression coefficients From the video or the provided facial landmarks. ExpressionApp is added to demonstrate the new Face Expressions feature.
• NEW! Default face model for the Face 3D mesh and tracking feature, face_model2.nvf, now ships with the SDK. The old SFM based face_model0.nvf is no longer required.
• 3D Body Pose Estimation:
  • NEW! Added the support for Multi Person Tracking. This feature is supported by the Windows SDK only.
  • FocalLength is now a NvAR_Parameter_Input. Users can now change FocalLength at every NvAR_Run() without having to call NvAR_Load().
  • The reference pose returned by the feature has been updated
• Facial landmark estimation
  • NEW! There are now 2 modalities for facial landmark tracking: {0,1} -> {performance, quality}. Make sure to choose the preferred mode for your application. The default for face mesh fitting and expression estimation are 1, and the others are 0.
  • Head Pose output from the NvAR_Feature_LandmarkDetection feature is now in the OpenGL convention. Changed from X-back(towards the camera), Y-right, Z-down to X-right, Y-up, Z-back(towards the camera).
  • The sample apps now show the headpose in the OpenGL convention. The color coding of the axes is Red - X , Green - Y, Blue - Z
• NvCVImage_Transfer() now sets alpha to 255 or 1.0f when doing RGB -> RGBA. NvCVImage_CompositeRect() has a premultiplied alpha mode added
• Migrated to TensorRT 8.4.2.2
• Migrated to CUDA 11.6u1