Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) - GPU • DeepStream Version - 6.1.1 • TensorRT Version - 22.214.171.124 • NVIDIA GPU Driver Version (valid for GPU only) - 515
I am running action recognition sample app which is using pretrained model of action recognition which has contained 5 classes [“push”, “fall_floor” , “walk”, “run”, “ride_bike”]. But when there is no action happening or person is missing still getting any one class beacuse of probability, How to handle this case.
Sorry for late response! If you are talking about the sample of deepstream-3d-action-recognition sample code, you can modify the postprocessing algorithm in pgie_src_pad_buffer_probe() function to skip label when all probability values are lower than some threshold you set.