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>

.github/workflows/ci.yml

@@ -197,6 +197,31 @@ jobs:
           set: |
             synaptics.tags=${{ steps.setup.outputs.image-name }}-synaptics
             *.cache-from=type=gha
+  qualcomm_build:
+    runs-on: ubuntu-22.04-arm
+    name: Qualcomm Build
+    needs:
+      - arm64_build
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v6
+        with:
+          persist-credentials: false
+      - name: Set up QEMU and Buildx
+        id: setup
+        uses: ./.github/actions/setup
+        with:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Build and push Qualcomm build
+        uses: docker/bake-action@v7
+        with:
+          source: .
+          push: true
+          targets: qualcomm
+          files: docker/qualcomm/qualcomm.hcl
+          set: |
+            qualcomm.tags=${{ steps.setup.outputs.image-name }}-qualcomm
+            *.cache-from=type=gha
   # The majority of users running arm64 are rpi users, so the rpi
   # build should be the primary arm64 image
   assemble_default_build: