Description
I trained the yolov3 model on TLT3.0 and encountered this error when deploying the model to deepstream. How can I solve it? Thanks
Environment
train
TensorRT Version : 7.2.1.6
GPU Type : 3080
Nvidia Driver Version : 460.39
CUDA Version : 10.2
CUDNN Version : 8.1.0
Operating System + Version : Ubuntu18.04
Python Version (if applicable) : 3.6.9
TLT :3.0
deploy:
TensorRT Version : 7.2.1.6
GPU Type : V100
Nvidia Driver Version : 450.80.02
CUDA Version : 10.2
CUDNN Version : 8.1.1
Operating System + Version : Ubuntu18.04
Python Version (if applicable) : 3.6.9
DeepStream :5.0.0
NVES
April 2, 2021, 4:07am
2
Hi , UFF and Caffe Parser have been deprecated from TensorRT 7 onwards, hence request you to try ONNX parser.
Please check the below link for the same.
Thanks!
Thank you.
I am using the files under the path of /deepstream-5.0/sources/objectDetector_Yolo, how can I modify it to use ONNX parser?
Hi @1210586191 ,
This looks like DeepStream related issue, we request you to post your concern here for better help.
Discussions about the DeepStream SDK
Thank you.
Thanks for your reply!
I encountered an error when running deepstream-app.
Is it a version problem?
Is deepstream5.0 compatible with TensorRT7.2.1.6?
Hi @1210586191 ,
Yes there is a compatibility. This doc may help you.
https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html#platform-and-os-compatibility
For further assistance on error, please post your query on DeepStream forum link shared above.
Thank you.