mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-10-22 22:52:48 +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>
28 lines
521 B
HCL
28 lines
521 B
HCL
target wheels {
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dockerfile = "docker/main/Dockerfile"
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platforms = ["linux/arm64"]
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target = "wheels"
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}
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target deps {
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dockerfile = "docker/main/Dockerfile"
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platforms = ["linux/arm64"]
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target = "deps"
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}
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target rootfs {
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dockerfile = "docker/main/Dockerfile"
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platforms = ["linux/arm64"]
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target = "rootfs"
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}
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target qualcomm {
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dockerfile = "docker/qualcomm/Dockerfile"
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contexts = {
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wheels = "target:wheels",
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deps = "target:deps",
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rootfs = "target:rootfs"
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}
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platforms = ["linux/arm64"]
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}
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