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

Nvidia Jetson ffmpeg + TensorRT support (#6458)

Browse Source 
* Non-Jetson changes

Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic

* Prepare for multi-arch tensorrt build

* Add tensorrt images for Jetson boards

* Add Jetson ffmpeg hwaccel

* Update docs

* Add CODEOWNERS

* CI

* Change default model from yolov7-tiny-416 to yolov7-320

In my experience the tiny models perform markedly worse without being
much faster

* fixup! Update docs
This commit is contained in:
Andrew Reiter
2023-07-26 06:50:41 -04:00
committed by GitHub
parent 680198148b
commit a96a951e23
28 changed files with 567 additions and 139 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
docker/tensorrt/requirements-models-arm64.txt Normal file
View File

@@ -0,0 +1,3 @@
onnx == 1.9.0; platform_machine == 'aarch64'
protobuf == 3.20.3; platform_machine == 'aarch64'
numpy == 1.23.*; platform_machine == 'aarch64'