Release 2021.3

What’s New in This Release:

Title	High-level description
YOLOv4 support	gvadetect element is updated to include post-processing for YoloV4 models.
Configuration for tracking algorithm	A new property ‘config’ is introduced in gvatrack to configure the tracking algorithms. It allows developers to specify the maximum number of objects to be tracked thereby reducing compute and increasing throughput. It can also improve accuracy by allowing developers to select whether to retain the tracking ID based on the position of the bounding box even if the detected class changes due to a model inaccuracy.
‘object-class’ property	Similar to gvaclassify, gvadetect and gvainference will have ‘object-class’ property to provide an ability to run the secondary inference on a particular object class only.
Pipeline portability	Performance and portability of pipelines across CPU and GPU is improved by removing the need for videoconvert between decode and inference elements.
Command-line parameters for samples	The samples are updated to accept the command-line options for inference device selection and enabling of FPS counter or output video rendering. This provides more flexibility to run the samples without code modification.
DL Streamer for Windows - Preview	Introducing DL Streamer for Windows. Now you can build object detection and object classification pipelines for Windows OS by using DL Streamer. The preview is available on the branch - ‘preview/support-for-windows’
Segmentation – Preview	A new element gvasegment is introduced to perform semantic segmentation, instance segmentation and text detection. The preview is available on the branch - ‘preview/segmentation’.