SegAnyMo has specific requirements for the operating environment:
Hardware Requirements:
- NVIDIA RTX A6000 or similar CUDA-enabled graphics card recommended
- Requires larger GPU memory to support deep learning model operations
Software Requirements:
- Development environment based on Ubuntu 22.04
- Requires Git and Anaconda to be pre-installed
- Requires Python 3.12.4 environment
- PyTorch 2.4.0 and accompanying components are required.
- Dependent on CUDA 12.1 computing architecture
Recommended Configuration Suggestion:
- Create a standalone Python virtual environment using conda (recommended name is seg)
- Install the xformers library to accelerate model inference
- Reserve enough storage space for model weights and datasets
It is important to note that without proper GPU hardware, it will run but at a significantly lower efficiency. For developers, it is recommended to have at least a 16GB video card with more than 16GB of video memory for a better experience.
This answer comes from the articleSegAnyMo: open source tool to automatically segment arbitrary moving objects from videoThe
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