Machine Learning Environment Configuration
Prior to utilizing machine learning capabilities, the Python environment must be preconfigured. The machine learning functionality imposes specific requirements on both software and hardware environments. For Linux system configurations, please consult the Machine Learning Environment Configuration_Linux page.
Recommended Basic Hardware Configuration
- NVIDIA graphics card
- Video memory ≥ 10 GB (Minimum requirement: 6 GB; Object Extraction requires ≥ 8 GB)
- Latest graphics driver (If not updated automatically, download from NVIDIA official website)
Resource Environment Configuration
Download the SuperMap iDesktopX Extension_AI for Windows package from the official website and extract it to the root directory of SuperMap iDesktopX installation.
The AI extension package contains essential components including Python environment, machine learning resources, and video effect materials. Detailed descriptions follow:
- Resources_ml: Machine learning resource package containing sample data, model configuration files, and related materials
- support：
- MiniConda: GPU runtime environment for AI analysis
- Templates: Video effect resources
Python Environment Configuration
- Launch SuperMap iDesktopX and navigate to Start -> Browse -> Python. Click the Python Environment Management button on the left toolbar.
- In the dialog, select the environment path: SuperMap iDesktopX package/support/MiniConda/conda/python.exe. Confirm and restart the Python environment.
Related Topics
Machine Learning Environment Configuration_Linux