There’s a deepstream-app config file like source1.txt as a sample. You would find a section called
[primary-gie] in the config file. Under that section, you can find
interval=0, where you can change it to a non-zero value. I remember this
intervaloverwrites a default PGIE config params shown in your reply. So, please change
interval value in deepstream-app config file, rather than PGIE config file.
Regarding the performance change, it depends on where is the perf bottleneck. If the CPU is the bottleneck (likely when KLT tracker is used), then changing the PGIE interval wouldn’t have much impact on the perf. If the bottleneck was in the GPU, then yes, you would get perf gain by increasing inference
interval. You can check CPU and GPU utilization % in Nano while running your pipeline to identify what is the bottleneck.