Machine Learning Environment Configuration

Machine Learning Environment Configuration_Linux

The machine learning environment configuration for Linux systems differs slightly from that of Windows. The details are as follows:

NVIDIA graphics card;
VRAM ≥10G, with a minimum requirement of 6G, and no less than 8G for object extraction;
Latest graphics card driver (If not updated automatically, it can be downloaded from the NVIDIA official website at: https://www.nvidia.cn/Download/index.aspx?lang=cn

Download the Linux version of the AI extension package, which consists of 5 split-volume compressed packages. All of them need to be downloaded to the same directory.
- Download address: https://pan.baidu.com/s/10Ec2T7HcHG0UAXR2D59UAw.
- Extraction code: rdpd.
In the terminal, navigate to that directory and execute the following command to merge and extract:
cat supermap-idesktopx-ext_ai-2025u1-linux-x64-bin.tar.gz.* | tar -zxvf -
After extraction, you will get a folder. Copy the subfolders within this folder to the root directory of the SuperMap iDesktopX product package to complete the extension deployment.
The AI extension package is detailed as follows:

resources_ml: The machine learning resource package, containing resources for machine learning functionality such as sample data and model configuration files;
support: The GPU runtime environment for machine learning Python;

Open SuperMap iDesktopX, click the Start->Browse->Python button. In the Python window, on the left toolbar, click the Python Environment Management button.
In the Python Environment Management dialog, select the SuperMap iDesktopX product package/support/MiniConda/conda/bin/python environment, click the OK button, and restart the Python environment.