mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
a96a951e23
* 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
12 lines
613 B
Plaintext
12 lines
613 B
Plaintext
# NVidia TensorRT Support (amd64 only)
|
|
--extra-index-url 'https://pypi.nvidia.com'
|
|
numpy < 1.24; platform_machine == 'x86_64'
|
|
tensorrt == 8.5.3.*; platform_machine == 'x86_64'
|
|
cuda-python == 11.8; platform_machine == 'x86_64'
|
|
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'
|
|
onnx==1.14.0; platform_machine == 'x86_64'
|
|
protobuf==3.20.3; platform_machine == 'x86_64' |