• Hardware Platform (Jetson / GPU): AGX Xavier
• DeepStream Version: 5.1
• JetPack Version (valid for Jetson only): 4.5
• TensorRT Version: 7.1.3
I have 4 video streams of various lengths. I wrote a custom tracker library for
gst-nvtracker plugin and I want to stream these four videos with
nvtracker. TensorRT engine is built as batch-size of 4. And I set the batch-size=4 for
primary-gie. When the shortest video drops and ends early, the bounding boxes are going to become a mess(e.g. BBox from stream #1 starts to show in stream #3). But I didn’t see such an issue when running with Nvidia built nvtracker library (e.g. libnvds_nviou.so). With nvidia tracker lib, the corresponding BBox and tracking ID remain in the right channel even some of them streams drop earlier. Do you have any idea how NVIDIA prevented this part of multiple streams dropping off early issue?