Feature/rkatakol/ibvs model update#1748
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rohitkatakol merged 13 commits intomainfrom Feb 17, 2026
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| "source": "gstreamer", | ||
| "queue_maxsize": 50, | ||
| "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/models/person-vehicle-bike-detection-2004/FP32/person-vehicle-bike-detection-2004.xml model-proc=/home/pipeline-server/person-vehicle-bike-detection-2004.json inference-interval=3 threshold=0.4 model-instance-id=detect1 device=CPU ! queue ! gvainference model=/models/resnet-50-pytorch/FP32/resnet-50-pytorch.xml inference-region=1 name=classification model-instance-id=infer1 device=CPU ! queue ! videoconvertscale ! gvametaconvert add-tensor-data=true name=metaconvert ! jpegenc ! appsink name=destination", | ||
| "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/models/public/yolo11s/FP16/yolo11s.xml batch_size=1 inference-interval=1 nireq=2 threshold=0.7 model-instance-id=instcpu0 name=detection device=CPU ! queue ! gvainference model=/models/resnet-50-pytorch/FP32/resnet-50-pytorch.xml inference-region=1 name=classification model-instance-id=infer1 device=CPU ! queue ! videoconvertscale ! gvametaconvert add-tensor-data=true name=metaconvert ! jpegenc ! appsink name=destination", |
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why is inference interval changed? reducing it would impact throughput adversely
ajagadi1
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Feb 17, 2026
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Description
Changing person-vehicle-bike-detection-2004 model to yolov11s model as the former is not supported by openvino on NPU device
Fixes # https://jira.devtools.intel.com/browse/ITEP-85974
Any Newly Introduced Dependencies
No new dependency introduced
How Has This Been Tested?
Tested cpu, gpu and npu platform for docker and helm for IBVS. In all the scenarios, first analyzed the pipeline and then performed search objects for different objets (bike, person, vehicle) and made sure that correct search results were displayed.
Checklist: