Details of Setup
- Hardware Platform (Jetson / GPU): GPU
- DeepStream Version: 7.1.0
- TensorRT Version: 10.7.0.23-1+cuda12.6 amd64
- NVIDIA GPU Driver Version (valid for GPU only): 560.35.03 (CUDA Version: 12.6)
Issue Type: Bug
Description of Issue:
I am reaching out regarding an issue we encountered after upgrading our pipeline from DeepStream 7.0 to 7.1. Previously, our custom YOLOv7 license plate detection model was functioning correctly when run as a secondary in our Python-based pipeline within DeepStream 7.0. However, since migrating to DeepStream 7.1, the license plate boxes are no longer being recognized or detected.
Could you please provide information on any changes introduced in DeepStream 7.1 that might have caused this behavior? Specifically, we would like to know if there were any modifications to the inference pipeline, model loading mechanisms, or API functions between these versions that could affect secondary models. Additionally, are there any known issues or configuration updates required when upgrading from 7.0 to 7.1 that we might have missed?
Any guidance on where to look or what steps to take would be greatly appreciated.
config_infer_secondary_yoloV7_lp.txt:
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
onnx-file=/home/ds_tracker/models/lp_detection/yolov7_lp_detection.onnx
file=/home/ds_tracker/models/lp_detection/yolov7_lp_detection_b1_gpu0_fp32.engine
labelfile-path=/home/ds_tracker/models/lp_detection/labels_lp.txt
batch-size=1
network-mode=0
num-detected-classes=1
interval=0
gie-unique-id=2
process-mode=2
network-type=0
cluster-mode=2
maintain-aspect-ratio=1
symmetric-padding=1
parse-bbox-func-name=NvDsInferParseYoloCuda
custom-lib-path=/home/ds_tracker/custom_libs/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet
[class-attrs-all]
nms-iou-threshold=0.45
pre-cluster-threshold=0.25
topk=300