Update Dockerfile

docker/Jetson/Jetpack5/Dockerfile

@@ -1,13 +1,12 @@
 FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
-# backends
-# todo : PPLNN
+
 ARG MMDEPLOY_VERSION=main
 ENV NVIDIA_VISIBLE_DEVICE all
 ENV NVIDIA_DRIVER_CAPABILITIES all
-# ENV CUDA_HOME="/usr/local/cuda"
-# ENV PATH="/usr/local/cuda/bin:${PATH}"
-# ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
-# ENV TENSORRT_DIR="/usr/include/aarch64-linux-gnu"
+ENV CUDA_HOME="/usr/local/cuda"
+ENV PATH="/usr/local/cuda/bin:${PATH}"
+ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/lib/python3.8/site-packages/opencv-python.libs${LD_LIBRARY_PATH}"
+ENV TENSORRT_DIR="/usr/include/aarch64-linux-gnu"
 
 ENV DEBIAN_FRONTEND=nointeractive
 ENV FORCE_CUDA="1"
@@ -16,43 +15,43 @@ USER root
 WORKDIR /root/workspace
 
 # install dependencies
-# todo : PPLCV
 RUN  apt-get update &&\ 
      apt-get install -y vim wget libspdlog-dev libssl-dev libpng-dev pkg-config libhdf5-103 libhdf5-dev --no-install-recommends
 
 # install onnx
 RUN python3 -m pip install onnx versioned-hdf5
 
 # install onnxruntime
-COPY onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl /root/workspace
-# RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1.whl &&\
-RUN  python3 -m pip install --no-cache-dir onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
+RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1.whl &&\
+    python3 -m pip install --no-cache-dir onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
 
 # install mmcv
-RUN git clone --branch 2.x https://github.com/open-mmlab/mmcv.git
-WORKDIR /root/workspace/mmcv
-RUN python3 -m pip install --no-cache-dir opencv-python==4.5.4.60
-RUN MMCV_WITH_OPS=1 python3 -m pip install -e .
+RUN git clone --branch 2.x https://github.com/open-mmlab/mmcv.git &&\
+    python3 -m pip install --no-cache-dir opencv-python==4.5.4.60 opencv-contrib-python==4.5.4.60 opencv-python-headless==4.5.4.60 &&\
+    MMCV_WITH_OPS=1 python3 -m pip install -e .
 
 # build ppl.cv
-COPY ppl.cv /root/workspace/ppl.cv
-WORKDIR /root/workspace/ppl.cv
-RUN echo "export PPLCV_DIR=/root/workspace/ppl.cv" >> ~/.bashrc
-RUN ./build.sh cuda
+RUN git clone https://github.com/openppl-public/ppl.cv.git &&\
+    echo "export PPLCV_DIR=/root/workspace/ppl.cv" >> ~/.bashrc &&\
+    ./build.sh cuda
 
-# build mmdeploy
-COPY mmdeploy /root/workspace/mmdeploy
-# RUN git clone --recursive -b $MMDEPLOY_VERSION --depth 1 https://github.com/open-mmlab/mmdeploy &&\
+# download mmdeploy
+RUN git clone --recursive -b $MMDEPLOY_VERSION --depth 1 https://github.com/open-mmlab/mmdeploy
+
 # build TRT custom op
-WORKDIR /root/workspace/mmdeploy
-RUN mkdir -p build && cd build &&\
+RUN cd mmdeploy &&\
+    mkdir -p build && cd build &&\
     cmake .. \
     	-DMMDEPLOY_TARGET_BACKENDS="trt" \
     	-DTENSORRT_DIR=TENSORRT_DIR    &&\
     make -j$(nproc) && make install
-RUN python3 -m pip install --upgrade setuptools && python3 -m pip install -e .
+RUN cd mmdeploy &&\
+    python3 -m pip install --upgrade setuptools &&\
+    python3 -m pip install -e .
+
 # build mmdeploy
-RUN mkdir -p build && cd build &&\
+RUN cd mmdeploy &&\
+    mkdir -p build && cd build &&\
     cmake .. \
     	-DMMDEPLOY_BUILD_SDK=ON \
     	-DMMDEPLOY_BUILD_SDK_PYTHON_API=ON \
@@ -68,5 +67,3 @@ ENV MMDeploy_DIR="/root/workspace/mmdeploy/build/install/lib/cmake/MMDeploy"
 ENV LD_LIBRARY_PATH="/root/workspace/mmdeploy/build/lib:${BACKUP_LD_LIBRARY_PATH}"
 ENV PATH="/root/workspace/mmdeploy/build/bin:${PATH}"
 ENV PYTHONPATH="/root/workspace/mmdeploy:${PYTHONPATH}"
-RUN ln -s /usr/local/ib/python3.8/dist-packages/opencv_python.libs/* 
-WORKDIR /root/workspace