Deep-Flow-Guided-Video-Inpainting:pytorch实现的“深流引导的视频修复”(CVPR'19)

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深流引导的视频修复 | | | 安装与要求 该代码已在pytorch = 0.4.0和python3.6上进行了测试。 请参阅requirements.txt以获取详细信息。 或者,您可以使用提供的运行它。 安装python软件包 pip install -r requirements.txt 安装flownet2模块 bash install_scripts.sh 配件 此仓库中包含三个组件: 视频修复工具:DFVI 提取流程:FlowNet2(由修改) 图像修复(从重新实现) 用法 要使用我们的视频修复工具删除对象,建议将帧放置在xxx/video_name/frames ,并将每个帧的遮罩放置在xxx/video_name/masks 。 并且请从下载演示和模型权重的资源。 包含帧和蒙版的示例演示已放入演示中,运行以下命令将获得结果: python tools/v

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