Hardware Platform (Jetson / GPU) → Jetson AGX Orin
DeepStream Version → 7.1
TensorRT Version → 10.3
NVIDIA GPU Driver Version (valid for GPU only) → 540.4
this is my error
0:00:00.673901731 275421 0xaaab05ab81e0 ERROR nvinfer gstnvinfer.cpp:678:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::parseBoundingBox() <nvdsinfer_context_impl_output_parsing.cpp:60> [UID = 1]: Could not find output coverage layer for parsing objects
0:00:00.674447012 275421 0xaaab05ab81e0 ERROR nvinfer gstnvinfer.cpp:678:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::fillDetectionOutput() <nvdsinfer_context_impl_output_parsing.cpp:736> [UID = 1]: Failed to parse bboxes
Segmentation fault (core dumped)
i am running the deepstream-test4 in the deepstream_python_apps and i am trying to load my model but its giving me this error. i am pasting my dstest4_pgie_config.txt
[property]
gpu-id=0
net-scale-factor=0.00392156862745098
onnx-file=/home/jetson-agx-hsr/Downloads/yolo.onnx
model-engine-file=/home/jetson-agx-hsr/Downloads/yolo.engine
labelfile-path=/home/jetson-agx-hsr/Downloads/labels.txt
batch-size=1
process-mode=1
model-color-format=0
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=2
num-detected-classes=1
interval=0
process-mode=1
model-color-format=0
gie-unique-id=1
#scaling-filter=0
#scaling-compute-hw=0
cluster-mode=2
output-blob-names=grid # Adjust these names to match your model's output layers
custom-lib-path=/opt/nvidia/deepstream/deepstream-7.1/lib/libnvds_infercustomparser.so
#parse-bbox-func-name=NvDsInferParseCustomSSD
[class-attrs-all]
pre-cluster-threshold=0.2
topk=20
nms-iou-threshold=0.5