# TLT-deepstream sample app problems : I found thatFRCNN, SSD , DSSD , RetinaNet and Detectnet\_v2 can run successfully, but Yolov3 can’t **URL:** \ **Category:** TAO Toolkit\ **Tags:** tensorrt\ **Created:** [September 24, 2020, 3:37am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186 "2020-09-24T03:37:30Z")\ **Posts on this page:** 20\ **Page:** 1
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 3:37am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/1 "2020-09-24T03:37:31Z")
when i try to thesample app of YoloV3,I get the following error : command : “./deepstream-custom -c pgie\_yolov3\_tlt\_config.txt -i $DS\_SRC\_PATH/samples/streams/sample\_720p.h264 -d” nvidia@nvidia-desktop:~/Public/deepstream\_tlt\_apps$ ./deepstream-custom -c pgie\_yolov3\_tlt\_config.txt -i $DS\_SRC\_PATH/samples/streams/sample\_720p.h264 -d Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead. Now playing: pgie\_yolov3\_tlt\_config.txt Using winsys: x11 Opening in BLOCKING MODE 0:00:00.201417692 29126 0x5593a1b870 INFO nvinfer gstnvinfer.cpp:619:gst\_nvinfer\_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() \ [UID = 1]: Trying to create engine from model files ERROR: [TRT]: IPluginV2DynamicExt requires network without implicit batch dimension Segmentation fault (core dumped) my config file is following : pgie\_yolov3\_tlt\_config.txt (I didn’t modify any configuration files) [property] gpu-id=0 net-scale-factor=1.0 offsets=103.939;116.779;123.68 model-color-format=1 labelfile-path=./nvdsinfer\_customparser\_yolov3\_tlt/yolov3\_labels.txt tlt-encoded-model=./models/yolov3/yolo\_resnet18.etlt tlt-model-key=nvidia\_tlt uff-input-dims=3;544;960;0 uff-input-blob-name=Input batch-size=1 #0=FP32, 1=INT8, 2=FP16 mode network-mode=2 num-detected-classes=4 interval=0 gie-unique-id=1 is-classifier=0 #network-type=0 #no cluster cluster-mode=3 output-blob-names=BatchedNMS parse-bbox-func-name=NvDsInferParseCustomYOLOV3TLT custom-lib-path=./nvdsinfer\_customparser\_yolov3\_tlt/libnvds\_infercustomparser\_yolov3\_tlt.so [class-attrs-all] pre-cluster-threshold=0.3 roi-top-offset=0 roi-bottom-offset=0 detected-min-w=0 detected-min-h=0 detected-max-w=0 detected-max-h=0 ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 4:32am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/3 "2020-09-24T04:32:13Z")
> [@920086481](#): > > command : “./deepstream-custom -c pgie\_yolov3\_tlt\_config.txt -i $DS\_SRC\_PATH/samples/streams/sample\_720p.h264 -d” > > Now playing: pgie\_frcnn\_tlt\_config.txt Can you double check your command and log? See above, why it is playing pgie\_frcnn\_tlt\_config.txt? But in your command, it is pgie\_yolov3\_tlt\_config.txt ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 6:21am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/4 "2020-09-24T06:21:00Z")
I’m sorry, when I copied the log, I accidentally copied other parts.Now I modified. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 6:31am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/5 "2020-09-24T06:31:29Z")
What is your TRT version? ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 6:52am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/6 "2020-09-24T06:52:26Z")
I used command ‘dpkg -l | grep TensorRT’，and didn’t see tensorrt in my system, but it was 7.1.3 in pip3 list. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 7:03am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/7 "2020-09-24T07:03:45Z")
Can you install CUDA/cudnn/TRT with Jetpack 4.4? ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 7:09am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/8 "2020-09-24T07:09:27Z")
yes,I installed these tools using the SDK manager. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 7:11am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/9 "2020-09-24T07:11:24Z")
What is your device? Nano/xaiver/NX or others? ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 7:32am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/10 "2020-09-24T07:32:50Z")
I use TX2. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 7:36am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/11 "2020-09-24T07:36:10Z")
OK. More, 1. For TX2, when you build the Jetson TensorRT OSS Plugin according to [https://github.com/NVIDIA-AI-IOT/deepstream\_tlt\_apps/tree/master/TRT-OSS/Jetson](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps/tree/master/TRT-OSS/Jetson), please make sure you use GPU\_ARCHS 62. 2. If you install CUDA/cudnn/TRT with Jetpack 4.4, there should be below info. Please double check. > nvidia@nvidia:~$ dpkg -l |grep tensorrt > ii nvidia-container-csv-tensorrt 7.1.3.0-1+cuda10.2 arm64 Jetpack TensorRT CSV file > ii tensorrt 7.1.3.0-1+cuda10.2 arm64 Meta package of TensorRT ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 7:41am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/12 "2020-09-24T07:41:50Z")
when I build the Jetson TensorRT OSS Plugin command： /usr/local/bin/cmake … -DGPU\_ARCHS=62 -DTRT\_LIB\_DIR=/usr/lib/aarch64-linux-gnu/ -DCMAKE\_C\_COMPILER=/usr/bin/gcc -DTRT\_BIN\_DIR=`pwd`/out nvidia@nvidia-desktop:~$ dpkg -l |grep cuda ii cuda-command-line-tools-10-2 10.2.89-1 arm64 CUDA command-line tools ii cuda-compiler-10-2 10.2.89-1 arm64 CUDA compiler ii cuda-cudart-10-2 10.2.89-1 arm64 CUDA Runtime native Libraries ii cuda-cudart-dev-10-2 10.2.89-1 arm64 CUDA Runtime native dev links, headers ii cuda-cufft-10-2 10.2.89-1 arm64 CUFFT native runtime libraries ii cuda-cufft-dev-10-2 10.2.89-1 arm64 CUFFT native dev links, headers ii cuda-cuobjdump-10-2 10.2.89-1 arm64 CUDA cuobjdump ii cuda-cupti-10-2 10.2.89-1 arm64 CUDA profiling tools runtime libs. ii cuda-cupti-dev-10-2 10.2.89-1 arm64 CUDA profiling tools interface. ii cuda-curand-10-2 10.2.89-1 arm64 CURAND native runtime libraries ii cuda-curand-dev-10-2 10.2.89-1 arm64 CURAND native dev links, headers ii cuda-cusolver-10-2 10.2.89-1 arm64 CUDA solver native runtime libraries ii cuda-cusolver-dev-10-2 10.2.89-1 arm64 CUDA solver native dev links, headers ii cuda-cusparse-10-2 10.2.89-1 arm64 CUSPARSE native runtime libraries ii cuda-cusparse-dev-10-2 10.2.89-1 arm64 CUSPARSE native dev links, headers ii cuda-documentation-10-2 10.2.89-1 arm64 CUDA documentation ii cuda-driver-dev-10-2 10.2.89-1 arm64 CUDA Driver native dev stub library ii cuda-gdb-10-2 10.2.89-1 arm64 CUDA-GDB ii cuda-libraries-10-2 10.2.89-1 arm64 CUDA Libraries 10.2 meta-package ii cuda-libraries-dev-10-2 10.2.89-1 arm64 CUDA Libraries 10.2 development meta-package ii cuda-license-10-2 10.2.89-1 arm64 CUDA licenses ii cuda-memcheck-10-2 10.2.89-1 arm64 CUDA-MEMCHECK ii cuda-misc-headers-10-2 10.2.89-1 arm64 CUDA miscellaneous headers ii cuda-npp-10-2 10.2.89-1 arm64 NPP native runtime libraries ii cuda-npp-dev-10-2 10.2.89-1 arm64 NPP native dev links, headers ii cuda-nvcc-10-2 10.2.89-1 arm64 CUDA nvcc ii cuda-nvdisasm-10-2 10.2.89-1 arm64 CUDA disassembler ii cuda-nvgraph-10-2 10.2.89-1 arm64 NVGRAPH native runtime libraries ii cuda-nvgraph-dev-10-2 10.2.89-1 arm64 NVGRAPH native dev links, headers ii cuda-nvml-dev-10-2 10.2.89-1 arm64 NVML native dev links, headers ii cuda-nvprof-10-2 10.2.89-1 arm64 CUDA Profiler tools ii cuda-nvprune-10-2 10.2.89-1 arm64 CUDA nvprune ii cuda-nvrtc-10-2 10.2.89-1 arm64 NVRTC native runtime libraries ii cuda-nvrtc-dev-10-2 10.2.89-1 arm64 NVRTC native dev links, headers ii cuda-nvtx-10-2 10.2.89-1 arm64 NVIDIA Tools Extension ii cuda-samples-10-2 10.2.89-1 arm64 CUDA example applications ii cuda-toolkit-10-2 10.2.89-1 arm64 CUDA Toolkit 10.2 meta-package ii cuda-tools-10-2 10.2.89-1 arm64 CUDA Tools meta-package ii graphsurgeon-tf 7.1.3-1+cuda10.2 arm64 GraphSurgeon for TensorRT package ii libcudnn8 8.0.0.180-1+cuda10.2 arm64 cuDNN runtime libraries ii libcudnn8-dev 8.0.0.180-1+cuda10.2 arm64 cuDNN development libraries and headers ii libcudnn8-doc 8.0.0.180-1+cuda10.2 arm64 cuDNN documents and samples ii libnvinfer-bin 7.1.3-1+cuda10.2 arm64 TensorRT binaries ii libnvinfer-dev 7.1.3-1+cuda10.2 arm64 TensorRT development libraries and headers ii libnvinfer-doc 7.1.3-1+cuda10.2 all TensorRT documentation ii libnvinfer-plugin-dev 7.1.3-1+cuda10.2 arm64 TensorRT plugin libraries ii libnvinfer-plugin7 7.1.3-1+cuda10.2 arm64 TensorRT plugin libraries ii libnvinfer-samples 7.1.3-1+cuda10.2 all TensorRT samples ii libnvinfer7 7.1.3-1+cuda10.2 arm64 TensorRT runtime libraries ii libnvonnxparsers-dev 7.1.3-1+cuda10.2 arm64 TensorRT ONNX libraries ii libnvonnxparsers7 7.1.3-1+cuda10.2 arm64 TensorRT ONNX libraries ii libnvparsers-dev 7.1.3-1+cuda10.2 arm64 TensorRT parsers libraries ii libnvparsers7 7.1.3-1+cuda10.2 arm64 TensorRT parsers libraries ii nvidia-container-csv-cuda 10.2.89-1 arm64 Jetpack CUDA CSV file ii nvidia-container-csv-cudnn 8.0.0.180-1+cuda10.2 arm64 Jetpack CUDNN CSV file ii nvidia-container-csv-tensorrt 7.1.3.0-1+cuda10.2 arm64 Jetpack TensorRT CSV file ii nvidia-l4t-cuda 32.4.3-20200625213407 arm64 NVIDIA CUDA Package ii python-libnvinfer 7.1.3-1+cuda10.2 arm64 Python bindings for TensorRT ii python-libnvinfer-dev 7.1.3-1+cuda10.2 arm64 Python development package for TensorRT ii python3-libnvinfer 7.1.3-1+cuda10.2 arm64 Python 3 bindings for TensorRT ii python3-libnvinfer-dev 7.1.3-1+cuda10.2 arm64 Python 3 development package for TensorRT ii tensorrt 7.1.3.0-1+cuda10.2 arm64 Meta package of TensorRT ii uff-converter-tf 7.1.3-1+cuda10.2 arm64 UFF converter for TensorRT package ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 24, 2020, 7:46am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/13 "2020-09-24T07:46:31Z")
Thanks for the info. I find another topic [YOLO model, Convert ETLT into an Engine](https://forums.developer.nvidia.com/t/yolo-model-convert-etlt-into-an-engine/155156) which has the same error as yours. Not sure what is happened. I will check it. ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 24, 2020, 7:50am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/14 "2020-09-24T07:50:09Z")
Thank you very much for your kind help. I will continue to solve the problem. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 25, 2020, 3:24am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/15 "2020-09-25T03:24:51Z")
I sync the code and follow the guide from [GitHub - NVIDIA-AI-IOT/deepstream\_tao\_apps: Sample apps to demonstrate how to deploy models trained with TAO on DeepStream](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps). Then run yolo\_v3 without any error. Please double check on your side, especially the replacement of libnvinfer\_plugin.so. ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 25, 2020, 3:32am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/16 "2020-09-25T03:32:54Z")
I’m sure I compiled and replaced the file, and tried it more than once. ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 25, 2020, 4:14am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/17 "2020-09-25T04:14:15Z")
Please share the result of below command. $ ll -sh /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\* ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 25, 2020, 6:26am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/18 "2020-09-25T06:26:21Z")
nvidia@nvidia-desktop:~/Public$ ll -sh /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\* 0 lrwxrwxrwx 1 root root 26 6月 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so → libnvinfer\_plugin.so.7.1.3\* 0 lrwxrwxrwx 1 root root 31 9月 20 14:58 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7 → libnvinfer\_plugin.so.7.1.3\_bak2\* 8.7M -rwxr-xr-x 1 root root 8.7M 9月 20 14:57 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3\* 5.4M -rw-r–r-- 1 root root 5.4M 6月 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3.bak 3.4M -rwxr-xr-x 1 root root 3.4M 9月 17 19:35 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3\_bak2\* 7.8M -rw-r–r-- 1 root root 7.8M 6月 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\_static.a ---
**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\ **Post date:** [September 25, 2020, 6:52am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/19 "2020-09-25T06:52:28Z")
I’m afraid there is something wrong in your libs. Please refer to [Failling in building sample from TLT-DEEPSTREAM - #15 by Morganh](https://forums.developer.nvidia.com/t/failling-in-building-sample-from-tlt-deepstream/127038/15) More reference as below. > nvidia@nvidia:~/new\_github/deepstream\_tlt\_apps$ ll -sh /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\* > 0 lrwxrwxrwx 1 root root 26 Jun 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so → libnvinfer\_plugin.so.7.1.3\* > 0 lrwxrwxrwx 1 root root 26 Jun 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7 → libnvinfer\_plugin.so.7.1.3\* > 0 lrwxrwxrwx 1 root root 26 Sep 10 14:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.0.0 → libnvinfer\_plugin.so.7.1.3\* > 4.5M -rwxr-xr-x 1 root root 4.5M Sep 10 14:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3\* > 7.8M -rw-r–r-- 1 root root 7.8M Jun 6 13:00 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\_static.a ---
**Author:** ![920086481](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@920086481](https://forums.developer.nvidia.com/u/920086481)\ **Post date:** [September 25, 2020, 7:03am UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/20 "2020-09-25T07:03:03Z")
It’s different. I’ll check my operation ---
**Author:** ![hyperlight](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@hyperlight](https://forums.developer.nvidia.com/u/hyperlight)\ **Post date:** [September 25, 2020, 11:17pm UTC](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186/21 "2020-09-25T23:17:17Z")
I ran into the same issue, here are what I did to fix the issue: - I first reflash my Jetson AGX XAVIER to make sure whatever I installed on it is up to date, this step is optional Relevant system config after installation is done: Jetpack 4.4 (CUDA 10.2) TensorRT: 7.1.3 Deepstream: 5.0 - Follow instruction from the [link shared by Morganh](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps/tree/master/TRT-OSS/Jetson) to build the TensorRT OSS, make sure you use release 7.0 NOT 7.1, I used 7.1 at first and YOLOV3 failed while other models (SSD , DSSD , RetinaNet) run without issue. > #back up the original file first > cd ~ > mkdir libnvinfer-plugin-backups > sudo mv /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3 /home/[REPLACE\_WITH\_YOUR\_USERNAME]/libnvinfer-plugin-backups/libnvinfer\_plugin.so.7.1.3.bak > #replace with the .so file built in previous step > sudo cp /home/minh/TensorRT/build/out/libnvinfer\_plugin.so.7.0.0 /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin.so.7.1.3 > sudo ldconfig > #check > ll -sh /usr/lib/aarch64-linux-gnu/libnvinfer\_plugin\* > #make sure in the printed ouput you get the same ouput as what Morganh showed, pay close attention to the modification date, the 2 original symlinks (libnvinfer\_plugin.so & libnvinfer\_plugin.so.7) & the libnvinfer\_plugin\_static.a file should still shown Jun while the two new file (libnvinfer\_plugin.so.7.0.0 & libnvinfer\_plugin.so.7.1.3), for me shown Sep I can then run the Yolov3 example without error. [Next page](https://forums.developer.nvidia.com/t/tlt-deepstream-sample-app-problems-i-found-thatfrcnn-ssd-dssd-retinanet-and-detectnet-v2-can-run-successfully-but-yolov3-can-t/155186.md?page=2)