mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-10-22 14:42:47 +03:00
Rami Mouro
e769ba7a8c
Add a community-supported board build for Qualcomm SoCs with a Hexagon NPU, accelerating TFLite object detection through the QNN TFLite delegate on the Hexagon Tensor Processor (HTP). Supported boards: - IQ9100 (IQ-9075 EVK) - QCS6490 (RB3 Gen 2 Vision Kit / Rubik Pi 3) - detector: new `qualcomm_tfl` plugin loading libQnnTFLiteDelegate.so on the HTP backend, reusing the shared TFLite delegate helpers - docker: `docker/qualcomm` board build (Dockerfile, qualcomm.hcl, qualcomm.mk) producing the arm64 `-qualcomm` image - cdi: per-board Container Device Interface descriptors and an install helper exposing the NPU device nodes and QNN libraries to the container - ci/codeowners: register the qualcomm build target and code owner - docs: installation, hardware, and object detector documentation, using the shared model config dropdown component - i18n: add the Qualcomm detector label and description to the generated en config locale Signed-off-by: Rami Mouro <rmouro@qti.qualcomm.com>
22 lines
622 B
Docker
22 lines
622 B
Docker
# syntax=docker/dockerfile:1.6
|
|
|
|
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
|
ARG DEBIAN_FRONTEND=noninteractive
|
|
|
|
# Globally set pip break-system-packages option to avoid having to specify it every time
|
|
ARG PIP_BREAK_SYSTEM_PACKAGES=1
|
|
|
|
FROM wheels AS qualcomm-wheels
|
|
ARG TARGETARCH
|
|
|
|
# No extra wheels needed — ai-edge-litert is already in the base image
|
|
# and the QNN delegate library (libQnnTFLiteDelegate.so) is provided
|
|
# by the host via CDI bind mounts at runtime.
|
|
|
|
FROM deps AS qualcomm-deps
|
|
ARG TARGETARCH
|
|
ARG PIP_BREAK_SYSTEM_PACKAGES
|
|
|
|
WORKDIR /opt/frigate/
|
|
COPY --from=rootfs / /
|