I am looking for the best way so save frames and inference metadata in deepstream application. Options that I have tried:
A custom gst-dsexample plugin that sends full frames and inference metadata to Redis. This causes some performance issues, there is a lot of overhead caused by sending frames to redis.
Setting infer-raw-output-dir property of primary-gie component in order to save raw binary output of frames and detections to local storage. This is inconvenient, because inference metadata is dumped in 5 separate files, and there is no information about source id and timestamp being saved.
Save frames with infer-raw-output-dir and send metadata to redis with message broker. With this approach, not sure if we could map corresponding frame with metadata message, since it seems that binary dump of frames could be in any order (sources in any order)
What other approach would you recommend for this, what’s the optimal way? The images are later send to a web server, so we are looking for as much efficiency as possible.