I am attaching a file with some benchmarks with the default deepstream caffemodel and tested on python bindings particularly deepsream-app-test3, also the video file used is also the sample video that comes with deepstream.
I have many questions but let’s start with one while running this config file through deepstream-app -c <config.txt>
source8_1080p_dec_infer_resnet_tracker_tiled_display_fp16_nano.txt I get around 24 fps on 8 video file
The same if running from a python deepstream-app exactly deepstream-testapp3 with default pgie_config setting and caffemodel I am not getting the same fps.
What am I missing or doing wrong?
I Have a custom model made in detectnet resnet10 but it performs poorly as compared to the caffemodel that’s altogether a different topic discussion.
I just need the same fps in my python deepstream app on how to achieve that.
All tested on jetson nano 4GB
benchmark.ods (16.5 KB)