Video-Inference:轻松推理视频网络。 目前支持 SOFVSR(BasicSR 版本)、RIFE 和 TecoGAN-pytorch-源码

上传者: 42136477 | 上传时间: 2021-08-16 15:21:15 | 文件大小: 5.91MB | 文件类型: ZIP
简单的视频推理 该存储库是一个类似于 ESRGAN 推理存储库的推理存储库,但适用于各种视频机器学习模型。 这个想法是让任何人都可以轻松地在视频上运行各种模型,而不必担心不同的存储库设置。 欢迎公关。 当前支持的架构 SOFVSR ( 版本) 原装SOFVSR SR网 RRDB SR 网 RIFE( 版本) 支持常规和“高清” RIFE 模型 原始 RIFE 模型需要转换为 BasicSR 的单模型 .pth 文件(位于 utils 文件夹中的转换脚本) 附加的功能 自动缩放、帧数、通道数和 SR 架构检测 自动“HD”RIFE 模型检测 自动开始和结束帧填充,因此所有帧都包含在输出中 通过ffmpeg直接视频输入输出 使用这个仓库 要求: numpy, opencv-python, pytorch, progressbar2 可选要求: ffmpeg-python使用视频输入/

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