@Fiona.Chen
Please find the below complete information as applicable to our setup.
- Hardware Platform -GPU (RTX series NVIDIA GPU, 16GB RAM, i5-7500 CPU)
- DeepStream Version - 5.1.0
- TensorRT Version - 7.2.3.4
- NVIDIA GPU Driver Version - driver version - 450.51 with cuda - 11.0, cudnn - 8.0.5
- Issue Type - questions
- Requirement details -
We are getting high time for getFrame() (RTSP decoding using cv2.videoCapture()) after building TensorRT and Deepstream.Before building TensorRT:
get_frame() ~ 5ms
After building TensorRT:
get_frame() ~ 20 ms
- We uninstalled Deepstream.
- We uninstalled Opencv cuda build and installed opencv cpu version.
- we downgraded Gstreamer version.
but get_frame() time is still high.
We have observed that initially (for the first 500-600 frames), the time is 1 - 3 ms
but after some time it increases to 30+ms and sometimes 80 ms also. ( maybe this is a memory issue). Can you help us on potential improvement actions for optimizing RTSP decoding time due to high TensorRT memory usage.