Right now I’m using deepstream to detect people and the problem which I’m facing right now is the tracking id keeps flickering. This was observed with both KLT tracker and NvDCF tracker. When I read the SDK documentation, they mention that using DCF would have less frequent changes in tracker id which isn’t the same when observed using the sample demo videos. Is there anything that could be done to not have the tracker ids flicker?
Could you provide more info on your settings like what sample video you tried with what config?
Can you also add what platform you are using ? Thanks
I’m using Deepstream 4.0.1 with Nvidia GTX 1060 card. I’m not using nano.
@NvCJR,
sorry for the late reply,
here’s my tracker config,
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# Mandatory properties for the tracker:
# tracker-width
# tracker-height: needs to be multiple of 6 for NvDCF
# gpu-id
# ll-lib-file: path to low-level tracker lib
# ll-config-file: required for NvDCF, optional for KLT and IOU
#
[tracker]
tracker-width=640
tracker-height=368
gpu-id=0
#ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so
ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so
ll-config-file=tracker_config.yml
enable-batch-process=1
%YAML:1.0
NvDCF:
useBufferedOutput: 0
maxTargetsPerStream: 30 # Max number of targets to track per stream. Recommended to set >10. Note: this value should account for the targets being tracked in shadow mode as well. Max value depends on the GPU memory capacity
filterLr: 0.11 # learning rate for DCF filter in exponential moving average. Valid Range: [0.0, 1.0]
gaussianSigma: 0.75 # Standard deviation for Gaussian for desired response when creating DCF filter
minDetectorConfidence: 0.0 # If the confidence of a detector bbox is lower than this, then it won't be considered for tracking
minTrackerConfidence: 0.6 # If the confidence of an object tracker is lower than this on the fly, then it will be tracked in shadow mode. Valid Range: [0.0, 1.0]
featureImgSizeLevel: 5 # Size of a feature image. Valid range: {1, 2, 3, 4, 5}, from the smallest to the largest
SearchRegionPaddingScale: 3 # Search region size. Determines how large the search region should be scaled from the target bbox. Valid range: {1, 2, 3}, from the smallest to the largest
maxShadowTrackingAge: 9 # Max length of shadow tracking (the shadow tracking age is incremented when (1) there's detector input yet no match or (2) tracker confidence is lower than minTrackerConfidence). Once reached, the tracker will be terminated.
probationAge: 12 # Once the tracker age (incremented at every frame) reaches this, the tracker is considered to be valid
earlyTerminationAge: 2 # Early termination age (in terms of shadow tracking age) during the probation period
minVisibiilty4Tracking: 0.1 # If the visibility of the bbox of a tracker gets lower, then it will be terminated
Could you provide deepstream-app config as well?
It’s not much of an issue. Nvm