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>
