Machine Learning Environment Configuration_Linux
The Linux system environment configuration for machine learning differs slightly from Windows, with detailed instructions as follows:
Recommended Basic Hardware Configuration
- NVIDIA graphics card;
- Video memory ≥ 10 GB (Minimum requirement: 6 GB; Object Extraction requires no less than 8 GB);
- Latest graphics driver (If not updated automatically, download from NVIDIA official website: https://www.nvidia.cn/Download/index.aspx?lang=cn)
Configuring Resource Environment
Download the SuperMap iDesktopX Extension_AI for Linux package from the official website and extract it to the root directory of SuperMap iDesktopX installation package.
The AI extension package contains the following components:
- Resources_ml: Machine learning resource package containing sample data, model configuration files, and other resources for ML functions;
- Support: GPU runtime environment for machine learning Python modules;
Configuring Python Environment
- Open SuperMap iDesktopX and click Start->Browse->Python. In the Python window's left toolbar, click the Python Environment Management button.
- In the Python Environment Management dialog, select the environment at SuperMap iDesktopX package/support/MiniConda/conda/bin/python, click OK, and restart the Python environment.
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