administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-01-24 21:18:30 +03:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity
bb80a7b2ee
frigate/docker/tensorrt/requirements-arm64.txt

2 lines
51 B
Plaintext
Raw Normal View History

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 13:50:41 +03:00
cuda-python == 11.7; platform_machine == 'aarch64'
Reference in New Issue Copy Permalink