Re: object tracking
I do not aware of object tracking application; however, in general, as in other applications, the toplogy should depend on the input and output dimensions and semantics of the given neural network, and I believe each neural network type for object tracking would differ. I think the gst-nvtracker is for a specific instance of obj-trk neural networks.
1. If your object tracking neural net requires to have a seqeunce of video frames fed simultaneously as in "activity recognition", you need to create a batched frame from a sequence of frames in a stream, use tensor_aggregator
- refer to ICSE 2021 SEIP paper of nnstreamer
2. If your object tracking neural net requires to have a previous result of the net fed along with the current video frame, you need to create one with tensor-mux, tensor-reposrc, and tensor-reposink.
--------- Original Message ---------
Sender : Torsten Schulz <torsten.schulz@...>
Date : 2023-01-31 08:34 (GMT+9)
Title : [NNStreamer Technical Discuss] object tracking
Has anybody attempt to build a generic object tracker using nnstreamer? With similar functionality as https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_plugin_gst-nvtracker.html