Deepstream with Python: how to recognize an already identified object in video frames (detected object id)?

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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• Hardware Platform (Jetson / GPU) Jetson Nano
• DeepStream Version Deepstream 5.0
• JetPack Version (valid for Jetson only) Jetpack 4.4
• TensorRT Version 7.0

Hello:
when I am running the object detection is it possible that identified objects in previous frames are recognized in current frame?
means: is there an object id assigned to a detected object, which i could access? and is this also recognized even if there are some frames, where the object was not detected and then later detected again?

thanks, Martin

3

it seems that the test example on python is using a tracker:

→ but how can I access the Id which gets tracked?
(using libnvds_mot_klt: the field is trackingId described in NVIDIA DeepStream SDK Developer Guide — DeepStream 6.1.1 Release documentation)

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Deepstream uses tracker to track the same object in different frames. The “object_id” (Deepstream Python API Reference — Deepstream Deepstream Version: 6.1.1 documentation) will be the same if the tracker think it is the same object.

1 Like
5

thanks Fiona.
I was able to get the object_id by adding in the while loop:

while l_obj is not None:
try:
obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
…
print("–> object Id: " + str(obj_meta.object_id))