diff --git a/docker/Jetson/Jetpack4.6/Dockerfile b/docker/Jetson/Jetpack4.6/Dockerfile
index 169817a02f..1ff12dc03b 100644
--- a/docker/Jetson/Jetpack4.6/Dockerfile
+++ b/docker/Jetson/Jetpack4.6/Dockerfile
@@ -5,7 +5,7 @@ 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 LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/lib/python3.6/site-packages/opencv-python.libs/${LD_LIBRARY_PATH}"
 ENV TENSORRT_DIR="/usr/include/aarch64-linux-gnu"
 
 ENV DEBIAN_FRONTEND=nointeractive
@@ -19,40 +19,42 @@ RUN  apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 42D5A192B819C5DA &
      apt-get update &&\ 
      apt-get install -y vim wget libspdlog-dev libssl-dev libpng-dev pkg-config libhdf5-100 libhdf5-dev --no-install-recommends
 
-RUN python3 -m pip install --upgrade pip     
-# install onnx
-RUN python3 -m pip install onnx==1.10 versioned-hdf5
+RUN python3 -m pip install --upgrade pip &&\    
+    python3 -m pip install onnx==1.10 versioned-hdf5
 
 # install onnxruntime
-COPY onnxruntime_gpu-1.10.0-cp36-cp36m-linux_aarch64.whl /root/workspace
-# RUN wget https://nvidia.box.com/shared/static/jy7nqva7l88mq9i8bw3g3sklzf4kcnn2.whl -O onnxruntime_gpu-1.10.0-cp36-cp36m-linux_aarch64.whl &&\
-RUN  python3 -m pip install --no-cache-dir onnxruntime_gpu-1.10.0-cp36-cp36m-linux_aarch64.whl
+RUN wget https://nvidia.box.com/shared/static/jy7nqva7l88mq9i8bw3g3sklzf4kcnn2.whl -O onnxruntime_gpu-1.10.0-cp36-cp36m-linux_aarch64.whl &&\
+    python3 -m pip install --no-cache-dir onnxruntime_gpu-1.10.0-cp36-cp36m-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 cd mmcv &&\ 
+    python3 -m pip install --no-cache-dir opencv-python==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 &&\
+    cd ppl.cv &&\
+    ./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 \