Smart parking and loitering detection: tuned the pipeline for lesser latency while not penalizing throughput by much

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/helm-chart/config/dlstreamer-pipeline-server/config.json

@@ -25,7 +25,7 @@
                 "name": "object_tracking_gpu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=4 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=GPU model-instance-id=instgpu0 name=detection ! queue ! gvatrack tracking-type=short-term-imageless ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=GPU model-instance-id=instgpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvatrack tracking-type=short-term-imageless ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "description": "Object detection with yolov8",
                 "parameters": {
                     "type": "object",
@@ -44,7 +44,7 @@
                 "name": "object_tracking_npu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=4 threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=NPU model-instance-id=instnpu0 name=detection ! queue ! gvatrack tracking-type=short-term-imageless ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=2 threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=NPU model-instance-id=instnpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvatrack tracking-type=short-term-imageless ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "description": "Object detection with yolov8",
                 "parameters": {
                     "type": "object",

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/src/dlstreamer-pipeline-server/config.json

@@ -25,7 +25,7 @@
                 "name": "object_tracking_gpu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=4 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=GPU model-instance-id=instgpu0 name=detection ! queue ! gvatrack tracking-type=short-term-imageless ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=GPU model-instance-id=instgpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvatrack tracking-type=short-term-imageless ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "description": "Object detection with yolov8",
                 "parameters": {
                     "type": "object",
@@ -44,7 +44,7 @@
                 "name": "object_tracking_npu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=4 threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=NPU model-instance-id=instnpu0 name=detection ! queue ! gvatrack tracking-type=short-term-imageless ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvaattachroi roi=0,200,300,400 ! gvadetect inference-region=1 inference-interval=1 batch-size=1 nireq=2 threshold=0.7 model=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector-adas-0001.xml model_proc=/home/pipeline-server/models/intel/pedestrian-and-vehicle-detector-adas-0001/pedestrian-and-vehicle-detector-adas-0001.json device=NPU model-instance-id=instnpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvatrack tracking-type=short-term-imageless ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "description": "Object detection with yolov8",
                 "parameters": {
                     "type": "object",

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/helm-chart/config/dlstreamer-pipeline-server/config.json

@@ -29,7 +29,7 @@
                 "name": "yolov11s_gpu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=GPU batch_size=8 inference-region=0 inference-interval=1 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" threshold=0.7 model-instance-id=instgpu0 name=detection ! queue ! gvaclassify batch-size=8 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=GPU inference-interval=1 inference-region=1 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" model-instance-id=instgpu1 name=classification ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=GPU batch-size=1 inference-region=0 inference-interval=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" threshold=0.7 model-instance-id=instgpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvaclassify batch-size=1 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=GPU inference-interval=1 inference-region=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" model-instance-id=instgpu1 name=classification ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "parameters": {
                     "type": "object",
                     "properties": {
@@ -53,7 +53,7 @@
                 "name": "yolov11s_npu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=NPU batch_size=1 inference-interval=1 inference-region=0 nireq=2 threshold=0.7 model-instance-id=instnpu0 name=detection ! queue ! gvaclassify batch-size=8 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=NPU inference-interval=1 inference-region=1 batch-size=1 nireq=2 model-instance-id=instnpu1 name=classification ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=NPU batch-size=1 inference-interval=1 inference-region=0 nireq=4 threshold=0.7 model-instance-id=instnpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvaclassify batch-size=1 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=NPU inference-interval=1 inference-region=1 batch-size=1 nireq=4 model-instance-id=instnpu1 name=classification ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "parameters": {
                     "type": "object",
                     "properties": {

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/src/dlstreamer-pipeline-server/config.json

@@ -29,7 +29,7 @@
                 "name": "yolov11s_gpu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=GPU batch_size=8 inference-region=0 inference-interval=1 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" threshold=0.7 model-instance-id=instgpu0 name=detection ! queue ! gvaclassify batch-size=8 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=GPU inference-interval=1 inference-region=1 nireq=2 ie-config=\"GPU_THROUGHPUT_STREAMS=2\" model-instance-id=instgpu1 name=classification ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=GPU batch-size=1 inference-region=0 inference-interval=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" threshold=0.7 model-instance-id=instgpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvaclassify batch-size=1 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=GPU inference-interval=1 inference-region=1 nireq=1 ie-config=\"GPU_THROUGHPUT_STREAMS=1\" model-instance-id=instgpu1 name=classification ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "parameters": {
                     "type": "object",
                     "properties": {
@@ -53,7 +53,7 @@
                 "name": "yolov11s_npu",
                 "source": "gstreamer",
                 "queue_maxsize": 50,
-                "pipeline": "{auto_source} name=source ! decodebin3 ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=NPU batch_size=1 inference-interval=1 inference-region=0 nireq=2 threshold=0.7 model-instance-id=instnpu0 name=detection ! queue ! gvaclassify batch-size=8 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=NPU inference-interval=1 inference-region=1 batch-size=1 nireq=2 model-instance-id=instnpu1 name=classification ! queue ! gvametaconvert add-empty-results=true name=metaconvert ! queue ! gvafpscounter ! appsink name=destination",
+                "pipeline": "{auto_source} name=source ! parsebin ! vah264dec ! vapostproc ! video/x-raw(memory:VAMemory) ! gvadetect model=/home/pipeline-server/models/public/yolo11s/INT8/yolo11s.xml device=NPU batch-size=1 inference-interval=1 inference-region=0 nireq=4 threshold=0.7 model-instance-id=instnpu0 name=detection ! queue max-size-buffers=1 max-size-bytes=0 max-size-time=0 ! gvaclassify batch-size=1 model=/home/pipeline-server/models/colorcls2/colorcls2.xml device=NPU inference-interval=1 inference-region=1 batch-size=1 nireq=4 model-instance-id=instnpu1 name=classification ! gvametaconvert add-empty-results=true name=metaconvert ! appsink name=destination",
                 "parameters": {
                     "type": "object",
                     "properties": {