ci: add Rockchip build workflow for fork

- Builds and publishes to ghcr.io/elasticdotventures/frigate
- Triggers on push to dev and fix-rk3588s-support branches
- Can be manually triggered via workflow_dispatch
- Tags: {sha}-rk and latest-rk

.github/workflows/build-rk.yml

@@ -0,0 +1,66 @@
+name: Build Rockchip
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - dev
+      - fix-rk3588s-support
+
+concurrency:
+  group: ${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  rockchip_build:
+    runs-on: ubuntu-latest
+    name: Build Rockchip Image
+    permissions:
+      contents: read
+      packages: write
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      
+      - id: lowercaseRepo
+        uses: ASzc/change-string-case-action@v6
+        with:
+          string: ${{ github.repository }}
+      
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+      
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      
+      - name: Log in to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      
+      - name: Create version file
+        run: make version
+      
+      - name: Create short sha
+        id: sha
+        run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_OUTPUT
+      
+      - name: Build and push Rockchip image
+        uses: docker/bake-action@v5
+        with:
+          push: true
+          targets: rk
+          files: docker/rockchip/rk.hcl
+          set: |
+            rk.tags=ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ steps.sha.outputs.SHORT_SHA }}-rk
+            rk.tags=ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:latest-rk
+            *.cache-from=type=gha
+            *.cache-to=type=gha,mode=max
+      
+      - name: Show image tags
+        run: |
+          echo "Images published:"
+          echo "  ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ steps.sha.outputs.SHORT_SHA }}-rk"
+          echo "  ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:latest-rk"

docs/docs/configuration/object_detectors.md

@@ -1352,7 +1352,7 @@ To convert a onnx model to the rknn format using the [rknn-toolkit2](https://git
 This is an example configuration file that you need to adjust to your specific onnx model:
 
 ```yaml
-soc: ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
+soc: ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588", "rk3588s"]
 quantization: false
 
 output_name: "{input_basename}"

docs/docs/frigate/hardware.md

@@ -273,6 +273,7 @@ Frigate supports hardware video processing on all Rockchip boards. However, hard
 - RK3568
 - RK3576
 - RK3588
+- RK3588S
 
 | Name           | YOLOv9 Inference Time | YOLO-NAS Inference Time     | YOLOx Inference Time    |
 | -------------- | --------------------- | --------------------------- | ----------------------- |

frigate/const.py

@@ -78,7 +78,7 @@ FFMPEG_HWACCEL_AMF = "preset-amd-amf"
 FFMPEG_HVC1_ARGS = ["-tag:v", "hvc1"]
 
 # RKNN constants
-SUPPORTED_RK_SOCS = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
+SUPPORTED_RK_SOCS = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588", "rk3588s"]
 
 # Regex constants
 

frigate/detectors/plugins/rknn.py

@@ -19,6 +19,8 @@ logger = logging.getLogger(__name__)
 
 DETECTOR_KEY = "rknn"
 
+supported_socs = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588", "rk3588s"]
+
 supported_models = {
     ModelTypeEnum.yologeneric: "^frigate-fp16-yolov9-[cemst]$",
     ModelTypeEnum.yolonas: "^deci-fp16-yolonas_[sml]$",
@@ -90,6 +92,9 @@ class Rknn(DetectionApi):
     def parse_model_input(self, model_path, soc):
         model_props = {}
 
+        # Map rk3588s to rk3588 for model compatibility
+        model_soc = "rk3588" if soc == "rk3588s" else soc
+
         # find out if user provides his own model
         # user provided models should be a path and contain a "/"
         if "/" in model_path:
@@ -146,7 +151,7 @@ class Rknn(DetectionApi):
                     model_props["model_type"] = model_type
 
             if model_matched:
-                model_props["filename"] = model_path + f"-{soc}-v2.3.2-2.rknn"
+                model_props["filename"] = model_path + f"-{model_soc}-v2.3.2-2.rknn"
 
                 model_props["path"] = model_cache_dir + model_props["filename"]