MatAnyone以完全开源的方式发布在GitHub平台，使用NTU S-Lab License 1.0许可协议。项目提供了完整的源代码、详细文档和预训练模型，支持开发者进行深度定制或集成到现有工作流中。这种开放性使得工具可以适应各种特殊需求和边缘场景。
技术实现上，MatAnyone基于Python开发，依赖PyTorch、OpenCV等主流框架，确保了良好的生态系统兼容性。项目团队还积极维护GitHub Issues页面，及时回应用户反馈并发布更新，形成了活跃的开源社区支持。
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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