Please provide complete information as applicable to your setup.
**• Hardware Platform: GPU
**• DeepStream Version 6.3
**• TensorRT Version 8.6.1
**• NVIDIA GPU Driver Version 535
**• Issue Type bugs
Hi,
I run deepstream-app with nvtracker using lib /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
and config config_tracker_IOU.yml
I want the object to use its own id and not reuse the previous id (id always increases steadily).
Is there any way to edit the config or edit the code to achieve that?
What I mean is that when the object has completely disappeared, a new object appears. The old id_object is re-allocated to a new object. I want the time period to reuse the old id_object for the new object to be 3s, or not reused. used the old id_object, but nvtracker reused the id_object in a very short time of about 500ms. How can I use incremental id or increase id_object reuse time
[Association Metric: Thresholds for valid candidates]
minMatchingScore4Overall: 0.0 # Min total score
minMatchingScore4SizeSimilarity: 0.0 # Min bbox size similarity score
minMatchingScore4Iou: 0.0 # Min IOU score
Question:
After reading the document, I changed maxShadowTrackingAge = 1 and did not encounter the problem of repeated object_id. Is it correct to change the config?