I follow the instruction in GitHub - NVIDIA-AI-IOT/deepstream_lpr_app: Sample app code for LPR deployment on DeepStream
but then:
#./tlt-converter -k nvidia_tlt -p image_input,1x3x48x96,4x3x48x96,16x3x48x96 models/LP/LPR/ch_lprnet_baseline18_deployable.etlt -t fp16 -e models/LP/LPR/lpr_ch_onnx_b16.engine -m 1
#[INFO] [MemUsageChange] Init CUDA: CPU +203, GPU +0, now: CPU 221, GPU 3316 (MiB)
Segmentation fault (core dumped)
my device is jetson nano, the info of sdk as following(dpkg -l |grep cuda):
#dpkg -l |grep cuda
ii cuda-command-line-tools-10-2 10.2.460-1 arm64 CUDA command-line tools
ii cuda-compiler-10-2 10.2.460-1 arm64 CUDA compiler
ii cuda-cudart-10-2 10.2.300-1 arm64 CUDA Runtime native Libraries
ii cuda-cudart-dev-10-2 10.2.300-1 arm64 CUDA Runtime native dev links, headers
ii cuda-cuobjdump-10-2 10.2.300-1 arm64 CUDA cuobjdump
ii cuda-cupti-10-2 10.2.300-1 arm64 CUDA profiling tools runtime libs.
ii cuda-cupti-dev-10-2 10.2.300-1 arm64 CUDA profiling tools interface.
ii cuda-documentation-10-2 10.2.300-1 arm64 CUDA documentation
ii cuda-driver-dev-10-2 10.2.300-1 arm64 CUDA Driver native dev stub library
ii cuda-gdb-10-2 10.2.300-1 arm64 CUDA-GDB
ii cuda-libraries-10-2 10.2.460-1 arm64 CUDA Libraries 10.2 meta-package
ii cuda-libraries-dev-10-2 10.2.460-1 arm64 CUDA Libraries 10.2 development meta-package
ii cuda-memcheck-10-2 10.2.300-1 arm64 CUDA-MEMCHECK
ii cuda-nvcc-10-2 10.2.300-1 arm64 CUDA nvcc
ii cuda-nvdisasm-10-2 10.2.300-1 arm64 CUDA disassembler
ii cuda-nvgraph-10-2 10.2.300-1 arm64 NVGRAPH native runtime libraries
ii cuda-nvgraph-dev-10-2 10.2.300-1 arm64 NVGRAPH native dev links, headers
ii cuda-nvml-dev-10-2 10.2.300-1 arm64 NVML native dev links, headers
ii cuda-nvprof-10-2 10.2.300-1 arm64 CUDA Profiler tools
ii cuda-nvprune-10-2 10.2.300-1 arm64 CUDA nvprune
ii cuda-nvrtc-10-2 10.2.300-1 arm64 NVRTC native runtime libraries
ii cuda-nvrtc-dev-10-2 10.2.300-1 arm64 NVRTC native dev links, headers
ii cuda-nvtx-10-2 10.2.300-1 arm64 NVIDIA Tools Extension
ii cuda-repo-l4t-10-2-local 10.2.460-1 arm64 cuda repository configuration files
ii cuda-samples-10-2 10.2.300-1 arm64 CUDA example applications
ii cuda-toolkit-10-2 10.2.460-1 arm64 CUDA Toolkit 10.2 meta-package
ii cuda-tools-10-2 10.2.460-1 arm64 CUDA Tools meta-package
ii cuda-visual-tools-10-2 10.2.460-1 arm64 CUDA visual tools
ii graphsurgeon-tf 8.0.1-1+cuda10.2 arm64 GraphSurgeon for TensorRT package
ii libcudnn8 8.2.1.32-1+cuda10.2 arm64 cuDNN runtime libraries
ii libcudnn8-dev 8.2.1.32-1+cuda10.2 arm64 cuDNN development libraries and headers
ii libcudnn8-samples 8.2.1.32-1+cuda10.2 arm64 cuDNN documents and samples
ii libnvinfer-bin 8.0.1-1+cuda10.2 arm64 TensorRT binaries
ii libnvinfer-dev 8.0.1-1+cuda10.2 arm64 TensorRT development libraries and headers
ii libnvinfer-doc 8.0.1-1+cuda10.2 all TensorRT documentation
ii libnvinfer-plugin-dev 8.0.1-1+cuda10.2 arm64 TensorRT plugin libraries
ii libnvinfer-plugin8 8.0.1-1+cuda10.2 arm64 TensorRT plugin libraries
ii libnvinfer-samples 8.0.1-1+cuda10.2 all TensorRT samples
ii libnvinfer8 8.0.1-1+cuda10.2 arm64 TensorRT runtime libraries
ii libnvonnxparsers-dev 8.0.1-1+cuda10.2 arm64 TensorRT ONNX libraries
ii libnvonnxparsers8 8.0.1-1+cuda10.2 arm64 TensorRT ONNX libraries
ii libnvparsers-dev 8.0.1-1+cuda10.2 arm64 TensorRT parsers libraries
ii libnvparsers8 8.0.1-1+cuda10.2 arm64 TensorRT parsers libraries
ii nvidia-container-csv-cuda 10.2.460-1 arm64 Jetpack CUDA CSV file
ii nvidia-container-csv-cudnn 8.2.1.32-1+cuda10.2 arm64 Jetpack CUDNN CSV file
ii nvidia-container-csv-tensorrt 8.0.1.6-1+cuda10.2 arm64 Jetpack TensorRT CSV file
ii nvidia-l4t-cuda 32.6.1-20210726122000 arm64 NVIDIA CUDA Package
ii python3-libnvinfer 8.0.1-1+cuda10.2 arm64 Python 3 bindings for TensorRT
ii python3-libnvinfer-dev 8.0.1-1+cuda10.2 arm64 Python 3 development package for TensorRT
ii tensorrt 8.0.1.6-1+cuda10.2 arm64 Meta package of TensorRT
ii uff-converter-tf 8.0.1-1+cuda10.2 arm64 UFF converter for TensorRT package
There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.
Thanks
Did you download Jetpack version of tlt-converter?