MatAnyone设计时就考虑了跨平台兼容性，可稳定运行在Windows、Linux和macOS系统上。工具采用Python作为主要开发语言，配合Conda虚拟环境管理，确保了在不同系统环境中的一致表现。这种设计大大降低了企业用户的部署门槛。
对于计算资源，MatAnyone既支持GPU加速（推荐NVIDIA显卡），也可以在纯CPU环境下运行。项目文档中提供了详细的硬件要求说明和优化建议，比如对于长视频处理的内存管理方案，帮助用户根据实际条件获得最佳性能。
This answer comes from the articleMatAnyone: Extract video to specify the target portrait of the open-source tool to generate the target portrait videoThe
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