I'm currently running a yolov8s model trained with an imgsize of 1080 on a Jetson Orin Nano (8GB, Jetpack 6.0, Deepstream 7.0). When running, cameras fps performance are as shown:
**PERF: 22.05 (20.45) 14.85 (15.58) 12.02 (12.46) 12.02 (12.41) 12.02 (12.40)
Not really sure why they vary so much, but my main issue is that the image from the camera running at 20fps is lagged/blurry/ghostlike. Other ones are fine... Any suggestions on improvements? The batch definition and syncronization are topics that are still not clear to me. Thank you in advance for any help!
Details:
I've exported the yolo model to .onnx with:
python3 utils/export_yoloV8.py -w yolov8s.pt --opset 12 --dynamic
Configured the file to create the engine with the settings below:
Hello,
I'm currently running a yolov8s model trained with an imgsize of 1080 on a Jetson Orin Nano (8GB, Jetpack 6.0, Deepstream 7.0). When running, cameras fps performance are as shown: **PERF: 22.05 (20.45) 14.85 (15.58) 12.02 (12.46) 12.02 (12.41) 12.02 (12.40)
Not really sure why they vary so much, but my main issue is that the image from the camera running at 20fps is lagged/blurry/ghostlike. Other ones are fine... Any suggestions on improvements? The batch definition and syncronization are topics that are still not clear to me. Thank you in advance for any help!
Details:
I've exported the yolo model to .onnx with:
python3 utils/export_yoloV8.py -w yolov8s.pt --opset 12 --dynamic
Configured the file to create the engine with the settings below:
And set my deepstream_app_config file as:
And running:
deepstream-app -c deepstream_app_config.txt