blakeblackshear.frigate/docker/tensorrt
Andrew Reiter a96a951e23
Nvidia Jetson ffmpeg + TensorRT support (#6458)
* 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
2023-07-26 05:50:41 -05:00
..
detector Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
build_jetson_ffmpeg.sh Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
Dockerfile.amd64 Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
Dockerfile.arm64 Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
Dockerfile.base Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
requirements-amd64.txt Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
requirements-arm64.txt Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
requirements-models-arm64.txt Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
trt.hcl Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00
trt.mk Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -05:00