Fix Jetson ONNXRuntime (#18370)

* Correctly save jetson wheel

* Temp docker build

.github/workflows/ci.yml

@@ -6,6 +6,7 @@ on:
     branches:
       - dev
       - master
+      - fix-jetson-ort
     paths-ignore:
       - "docs/**"
 
@@ -19,6 +20,7 @@ env:
 
 jobs:
   amd64_build:
+    if: false
     runs-on: ubuntu-22.04
     name: AMD64 Build
     steps:
@@ -42,6 +44,7 @@ jobs:
           tags: ${{ steps.setup.outputs.image-name }}-amd64
           cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
   arm64_build:
+    if: false
     runs-on: ubuntu-22.04-arm
     name: ARM Build
     steps:
@@ -136,6 +139,7 @@ jobs:
             *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6,mode=max
   amd64_extra_builds:
+    if: false
     runs-on: ubuntu-22.04
     name: AMD64 Extra Build
     needs:
@@ -178,6 +182,7 @@ jobs:
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-rocm,mode=max
             *.cache-from=type=gha
   arm64_extra_builds:
+    if: false
     runs-on: ubuntu-22.04-arm
     name: ARM Extra Build
     needs:
@@ -205,6 +210,7 @@ jobs:
   # The majority of users running arm64 are rpi users, so the rpi
   # build should be the primary arm64 image
   assemble_default_build:
+    if: false
     runs-on: ubuntu-22.04
     name: Assemble and push default build
     needs:

docker/tensorrt/Dockerfile.arm64

@@ -47,12 +47,11 @@ RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,t
     && TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh
 
 COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
-# See https://elinux.org/Jetson_Zoo#ONNX_Runtime
-ADD https://nvidia.box.com/shared/static/9yvw05k6u343qfnkhdv2x6xhygze0aq1.whl /tmp/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
 
-RUN pip3 uninstall -y onnxruntime-openvino \
-    && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt \
-    && pip3 install --no-deps /tmp/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
+RUN pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
+
+# See https://elinux.org/Jetson_Zoo#ONNX_Runtime
+ADD https://nvidia.box.com/shared/static/9yvw05k6u343qfnkhdv2x6xhygze0aq1.whl /trt-wheels/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
 
 FROM build-wheels AS trt-model-wheels
 ARG DEBIAN_FRONTEND
@@ -93,7 +92,8 @@ RUN mkdir -p /etc/ld.so.conf.d && echo /usr/lib/ffmpeg/jetson/lib/ > /etc/ld.so.
 COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     --mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
-    pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
+    pip3 uninstall -y onnxruntime-openvino \
+    && pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
     && ldconfig
 
 WORKDIR /opt/frigate/