mirror of
https://github.com/mudler/LocalAI
synced 2026-05-24 09:28:23 +00:00
29 lines
1.1 KiB
Bash
29 lines
1.1 KiB
Bash
|
#!/bin/bash
|
||
|
|
set -e
|
||
|
|
|
||
|
|
backend_dir=$(dirname $0)
|
||
|
|
if [ -d $backend_dir/common ]; then
|
||
|
|
source $backend_dir/common/libbackend.sh
|
||
|
|
else
|
||
|
|
source $backend_dir/../common/libbackend.sh
|
||
|
|
fi
|
||
|
|
|
||
|
|
installRequirements
|
||
|
|
|
||
|
|
# We deliberately do NOT pre-bake any model weights here. Two reasons:
|
||
|
|
#
|
||
|
|
# 1. Weights should follow LocalAI's gallery-managed download flow
|
||
|
|
# like every other backend. For OpenCV Zoo (YuNet + SFace) the
|
||
|
|
# gallery entries in gallery/index.yaml list the ONNX files via
|
||
|
|
# `files:` with URI + SHA-256 — LocalAI fetches them into the
|
||
|
|
# models directory on `local-ai models install`.
|
||
|
|
#
|
||
|
|
# 2. For insightface model packs (buffalo_l, buffalo_s, buffalo_m,
|
||
|
|
# buffalo_sc, antelopev2), upstream distributes zip archives
|
||
|
|
# only (no individual ONNX URLs). We rely on insightface's own
|
||
|
|
# auto-download machinery (`FaceAnalysis(name=<pack>, root=<dir>)`)
|
||
|
|
# at first LoadModel, pointed at a writable directory. This
|
||
|
|
# matches how rfdetr behaves (uses `inference.get_model()`).
|
||
|
|
#
|
||
|
|
# Net effect: the backend image ships only Python deps (~150MB CPU).
|