Machine Learning Environment Configuration

Before using the machine learning function, it is necessary to configure the Python environment in advance. At the same time, the machine learning function has certain requirements for the computer's software and hardware environment. For Linux system environment configuration, please refer to the Machine Learning Environment Configuration_Linux page.

Basic Hardware Configuration Recommendations

  • NVIDIA graphics card;
  • Video memory ≥10G, minimum requirement is 6G, object extraction not less than 8G;
  • Latest graphics card driver (if it cannot be updated automatically, it can be downloaded from the NVIDIA official website, download address is: https://www.nvidia.cn/Download/index.aspx?lang=cn

Configure Resource Environment

Download the Windows version AI extension package, download address is: https://pan.baidu.com/s/10Ec2T7HcHG0UAXR2D59UAw, extraction code: rdpd.

After downloading, extract it to the root directory of the SuperMap iDesktopX product package.

The SuperMap iDesktopX AI extension package provides materials such as the Python environment for AI analysis, machine learning resources, video effects resources, etc. The detailed description is as follows:

  • resources_ml: machine learning resource package, contains resources such as sample data, model config file for the machine learning function;
  • support:
    • MiniConda: GPU runtime environment for AI analysis;
  • templates: video effects resources;

Configure Python Environment

  1. Open SuperMap iDesktopX, click the Start->Browse->Python button, on the left toolbar of the Python window, click the Python environment management button.
  2. In the Python environment management dialog, select the SuperMap iDesktopX product package/support/MiniConda/conda/python.exe environment, click the OK button, and restart the Python environment.

Related Content

Machine Learning Environment Configuration_Linux

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