When I use nvtracker to launch rtsp stream the bounding box shows wrong

Please provide complete information as applicable to your setup.

**• Hardware Platform (Jetson / GPU) jetson xavier nx
**• DeepStream Version 6.3
**• JetPack Version (valid for Jetson only) 5.1.2
**• TensorRT Version 8.5.2.2

**• Issue Type( questions, new requirements, bugs) bugs
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

When I use nvtracker to launch rtsp stream in my pipeline,it show like this
丢帧

looks like the nvtracker data can’t alignment to the frame data.

here is my pipline:
./test-launch “(rtspsrc location=rtsp://admin:hbis1234@192.168.230.11:554/h265/ch1/main/av_stream latency=200 drop-on-latency=0 ! rtph265depay ! nvv4l2decoder ! m.sink_0 nvstreammux name=mbatch-size=1 width=1920 height=1080 batched-push-timeout=40000 live-source=1 ! nvinfer config-file-path=/home/hbis/projects/engine/config_infer_primary_yolov7-tiny.txt interval=15 batch-size=1 ! nvtracker ll-config-file=/opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml ll-lib-file=/opt/nvidia/deepstream/deepstream-6.3/lib/libnvds_nvmultiobjecttracker.so tracker-width=640 tracker-height=480 tracking-id-reset-mode=3 ! queue ! nvdsosd ! nvv4l2h264enc profile=2 ! h264parse ! rtph264pay name=pay0 pt=96 )”

My model is yolov7

If i delete the nvtracker plugin everything is normal

Can you have a try with the config_tracker_NvDCF_accuracy.yml? Is it possible to have a test with the latest DeepStream 7.0?

I also try the config_tracker_NvDCF_accuracy.yml ,it has the same problem.

Our project must use ds6.3,so I can’t try it on ds7.0

Can you dump the video and share the video to us for reproduce the issue?

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

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