Please provide complete information as applicable to your setup.
**• Hardware Platform (GPU): NVIDIA GeForce RTX 4070 Laptop GPU **
• DeepStream Version: 7.0
**• TensorRT Version: 8.6.1.6-1+cuda12.0 **
• NVIDIA GPU Driver Version: 535.161.08
**• Issue Type( questions, new requirements, bugs): questions **
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Running the deepstream_python_apps deepstream-test3 with Peoplenet model, it is not able to detect bags. But detections for the person and face classes are ok.
• config_infer_primary_peoplenet.txt:
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
#tlt-model-key=tlt_encode
onnx-file=…/…/…/…/samples/models/tao_pretrained_models/peopleNet/resnet34_peoplenet_int8.onnx
labelfile-path=…/…/…/…/samples/configs/tao_pretrained_models/labels_peoplenet.txt
model-engine-file=…/…/…/…/samples/models/tao_pretrained_models/peopleNet/resnet34_peoplenet_int8.onnx_b1_gpu0_int8.engine
int8-calib-file=…/…/…/…/samples/models/tao_pretrained_models/peopleNet/resnet34_peoplenet_int8.txt
input-dims=3;544;960;0
uff-input-blob-name=input_1
batch-size=1
process-mode=1
model-color-format=0
0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=3
cluster-mode=2
interval=0
gie-unique-id=1
output-blob-names=output_bbox/BiasAdd:0;output_cov/Sigmoid:0
#Use the config params below for dbscan clustering mode
#[class-attrs-all]
#detected-min-w=4
#detected-min-h=4
#minBoxes=3
#eps=0.7
#Use the config params below for NMS clustering mode
[class-attrs-all]
topk=20
nms-iou-threshold=0.5
pre-cluster-threshold=0.2
Per class configurations
[class-attrs-0]
topk=20
nms-iou-threshold=0.5
pre-cluster-threshold=0.4
#[class-attrs-1]
#pre-cluster-threshold=0.05
#eps=0.7
#dbscan-min-score=0.5
