Please provide complete information as applicable to your setup.
**• Hardware Platform (Jetson / GPU) Jetson
**• DeepStream Version 6.2
**• JetPack Version (valid for Jetson only) 5.0.2
**• TensorRT Version 8.4.1.5
**• CUDA 11.4.239
**• cuDNN 8.4.1.50
**• Issue Type( questions, new requirements, bugs) questions
**•Requirement details:I have a pipeline that includes
" nvurisrcbin+nvstreammux+nvnfer+nvtracker+fakesink"
questions1.Is there any example of data storage after nvstreammux that can provide reference? Does decoupling stored data have a significant impact on the latency of the entire pipeline?
questions2.Does the video frame data after nvurisrcbin in the above pipeline have a timestamp? If there is a timestamp, is it the camera exposure timestamp?
questions3.Are there any examples of models and new methods in the above pipeline that can be referenced in Nvidia?
What kind of data do you want to store? The original input video, the video with detected object bboxes and labels, or the images of the objects detected?
The video frame has its timestamp.
It depends on the camera driver but not the upper level framework. Normally it is the frame capture time.
What kind of data do you want to store? The original input video, the video with detected object bboxes and labels, or the images of the objects detected?
Save a batch of video frames processed by nvstreamux.
What do you mean by “new methods”? Methods for what?