Please provide complete information as applicable to your setup.
**• Hardware Platform (Jetson / GPU) XAVIER NX
**• DeepStream Version 5.0
**• JetPack Version (valid for Jetson only) 4.4
**• TensorRT Version 7.1
• NVIDIA GPU Driver Version (valid for GPU only)
**• Issue Type( questions, new requirements, bugs) bugs
I want to recognize human behavior. My steps are:
- Identify the location of people.
- Using openpose to detect the key points of human.
The system works well in real time, but it will block at a certain frame. And every run is blocked in this frame.like the following pic shows :
Running both models separately is normal, so the model and video files are normal. But when the two models are combined, there is a blocking situation.
I think the reason for the blocking is that the recognition speed of the first model is fast, while the recognition speed of the second model is slow. But I don’t know how to solve this problem. Does anyone have a similar problem? Can anyone help me?
I am modify the deepstream-test1 to complete my work. my config file as follows:
0=FP32, 1=INT8, 2=FP16 mode
Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
0=FP32 and 1=INT8 mode