diff --git a/samples/demo/mon_depth_estimation.cpp b/samples/demo/mon_depth_estimation.cpp
index 7e143e2088917831691b8dfe06a070d075124f9a..e1feb791fd819f122a60b5ccf808ed68f31066b0 100644
--- a/samples/demo/mon_depth_estimation.cpp
+++ b/samples/demo/mon_depth_estimation.cpp
@@ -28,7 +28,6 @@ int main(int argc, char *argv[])
     // 读取一帧图像到img
     cap.read(img);
     cv::resize(img, img, cv::Size(mde.image_width, mde.image_height));
-    cv::imshow("img", img);
 
     // 执行MonocularDepthEstimation
     mde.predict(img, tgts);
diff --git a/scripts/x86-cuda/ubuntu2004-cudnn-12-0-for40series.sh b/scripts/x86-cuda/ubuntu2004-cudnn-12-0-for40series.sh
new file mode 100755
index 0000000000000000000000000000000000000000..74955d76d1eb6b143adf4beeb4daaff453a411a5
--- /dev/null
+++ b/scripts/x86-cuda/ubuntu2004-cudnn-12-0-for40series.sh
@@ -0,0 +1,65 @@
+#!/bin/sh
+
+echo -e "\033[32m[INFO]:\033[0m Please enter the folder path of the installation package: "
+# package_dir="/home/jario/Downloads/nv"
+
+wget https://download.amovlab.com/model/install/x86-nvidia/cuda_12.0.0_525.60.13_linux.run
+wget https://download.amovlab.com/model/install/x86-nvidia/cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz
+wget https://download.amovlab.com/model/install/x86-nvidia/TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz
+
+
+#cudnn安装
+package_dir="."
+cudnn_fn= $package_dir"/cudnn-linux-x86_64-8.9.7.29_cuda12-archive"
+tmp_dir= "/tmp"
+echo -e "\033[32m[INFO]:CUDNN installing ...\033[0m"
+tar -xvf $cudnn_fn -C $tmp_dir
+sudo cp $tmp_dir/cudnn-linux-86_64-8.9.7.29_cuda12-archive/include/cudnn* /usr/local/cuda/include/
+sudo cp $tmp_dir/cudnn-linux-86_64-8.9.7.29_cuda12-archive/lib/libcudnn* /usr/local/cuda/lib64/
+sudo chmod a+r /usr/local/cuda/include/cudnn* /usr/local/cuda/lib64/libcudnn*
+
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
+sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.9.7 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
+
+#tensorrt安装
+tensorrt_fn="$package_dir/TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz"
+echo -e "\033[32m[INFO]:Tensorrt installing ...\033[0m"
+# 获取 Python 版本
+python_version=$(python3 --version | awk '{print $2}')
+python_major=$(echo $python_version | cut -d '.' -f 2)
+
+# 解压 TensorRT 文件
+tar -xzvf $tensorrt_fn -C $HOME
+
+# 设置环境变量
+echo "export TENSORRT_DIR=\$HOME/TensorRT-8.6.1.6" >> ~/.bashrc
+echo "export LD_LIBRARY_PATH=\$TENSORRT_DIR/lib:\$LD_LIBRARY_PATH" >> ~/.bashrc
+echo "export LIBRARY_PATH=\$TENSORRT_DIR/lib:\$LIBRARY_PATH" >> ~/.bashrc
+
+# 切换到 TensorRT Python 目录
+cd $HOME/TensorRT-8.6.1.6/python
+
+# 安装 TensorRT 相关包
+python3 -m pip install tensorrt-8.6.1-cp3${python_major}-none-linux_x86_64.whl
+python3 -m pip install tensorrt_lean-8.6.1-cp3${python_major}-none-linux_x86_64.whl
+python3 -m pip install tensorrt_dispatch-8.6.1-cp3${python_major}-none-linux_x86_64.whl
+
+# 设置其他 LD_LIBRARY_PATH 环境变量
+echo "export PATH=/usr/local/cuda/bin\${PATH:+:\${PATH}}">> ~/.bashrc
+echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib64\${LD_LIBRARY_PATH:+:\${LD_LIBRARY_PATH}}">> ~/.bashrc
+echo "export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib:$HOME/TensorRT-8.6.1.6/lib:\$TENSORRT_DIR/lib:/usr/local/cuda/lib64" >> ~/.bashrc
+echo "export LD_LIBRARY_PATH=$HOME/TensorRT-8.6.1.6/targets/x86_64-linux-gnu/lib:\$LD_LIBRARY_PATH">> ~/.bashrc
+echo "export LD_LIBRARY_PATH=$HOME/.local/lib/python3.${python_major}/site-packages/nvidia/cusparse/lib:\$LD_LIBRARY_PATH" >> ~/.bashrc
+echo "export LD_LIBRARY_PATH=$HOME/.local/lib/python3.${python_major}/site-packages/nvidia/cudnn/lib:\$LD_LIBRARY_PATH" >> ~/.bashrc
+
+sudo rm $cudnn_fn
+sudo rm $tensorrt_fn
+
+# 结束
+echo "Cudnn与Tensorrt安装完毕。"
+