chris/frigate
1
0
Fork 0
forked from Github/frigate
Code Pull Requests Packages Activity

Add support for yolonas via ONNX and allow TensorRT execution provider to work correctly (#13776)

Browse Source 
* Add support for yolonas in onnx

* Add correct deps

* Set ld library path

* Refactor cudnn to only be used in amd64

* Add onnx to docs and add explainer at the top

* Undo change

* Update comment

* Remove uneccesary

* Remove line change
This commit is contained in:
Nicolas Mowen
2024-09-16 15:17:31 -06:00
committed by GitHub
parent 9bcb928715
commit 2f69f5afe6
4 changed files with 127 additions and 12 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
docker/tensorrt/requirements-amd64.txt
View File

@@ -7,7 +7,8 @@ cython == 0.29.*; platform_machine == 'x86_64'
nvidia-cuda-runtime-cu12 == 12.1.*; platform_machine == 'x86_64'
nvidia-cuda-runtime-cu11 == 11.8.*; platform_machine == 'x86_64'
nvidia-cublas-cu11 == 11.11.3.6; platform_machine == 'x86_64'
nvidia-cudnn-cu11 == 8.6.0.*; platform_machine == 'x86_64'
nvidia-cudnn-cu11 == 8.5.0.*; platform_machine == 'x86_64'
nvidia-cufft-cu11==10.*; platform_machine == 'x86_64'
onnx==1.14.0; platform_machine == 'x86_64'
onnxruntime-gpu==1.18.0; platform_machine == 'x86_64'
onnxruntime-gpu==1.17.*; platform_machine == 'x86_64'
protobuf==3.20.3; platform_machine == 'x86_64'