frigate/CODEOWNERS
Line: 2: incorrect codeowner user: madsciencetist Line: 2: incorrect codeowner user: NateMeyer Line: 2: no users/groups matched Line: 3: incorrect codeowner user: madsciencetist Line: 3: no users/groups matched Line: 4: incorrect codeowner user: madsciencetist Line: 4: no users/groups matched Line: 5: incorrect codeowner user: MarcA711 Line: 5: no users/groups matched Line: 6: incorrect codeowner user: harakas Line: 6: no users/groups matched Line: 7: incorrect codeowner user: spanner3003 Line: 7: no users/groups matched Line: 8: incorrect codeowner user: ramalamadingdong Line: 8: no users/groups matched
Rami Mouro e769ba7a8c feat(detectors): add Qualcomm Hexagon NPU support (community board)
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>
2026-06-29 19:44:04 -06:00

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# Community-supported boards
/docker/tensorrt/ @madsciencetist @NateMeyer
/docker/tensorrt/*arm64* @madsciencetist
/docker/tensorrt/*jetson* @madsciencetist
/docker/rockchip/ @MarcA711
/docker/rocm/ @harakas
/docker/hailo8l/ @spanner3003
/docker/qualcomm/ @ramalamadingdong