matlab量化策略代码-SVLRM:CVPR2019论文SpatiallyVariantLinearRepresentationModels

上传者: 38725902 | 上传时间: 2022-04-28 18:10:42 | 文件大小: 4.72MB | 文件类型: ZIP
matlab 策略代码 依赖关系 Python = 3.8 PyTorch = 1.5 张量板 麻木的 操作系统 简历2 PIL 球体 日志记录 训练 我在单个 NVIDIA RTX 2080Ti GPU 上训练和测试了模型。 训练策略与论文相同。 命令 # x4 python train.py --upscaling_factor 4 # x8 python train.py --upscaling_factor 8 # x16 python train.py --upscaling_factor 16 测试 # x4 python test.py --upscaling_factor 4 --model weights/X4/model_192600_iter.pth # x8 python test.py --upscaling_factor 8 --model weights/X8/model_177200_iter.pth # x16 python test.py --upscaling_factor 16 --model weights/X16/model_192600_i

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