├── README.md ├── codes ├── README.md ├── data │ ├── __pycache__ │ │ ├── agora.cpython-36.pyc │ │ ├── agora15_val.cpython-36.pyc │ │ └── common.cpython-36.pyc │ ├── agora.py │ ├── agora15_val.py │ ├── common.py │ ├── gen_data.sh │ ├── img_process.py │ └── png2npy.py ├── model │ ├── __pycache__ │ │ └── model.cpython-36.pyc │ └── model.py ├── test.py ├── test.sh ├── train.py ├── train.sh └── utils │ ├── __pycache__ │ └── utils.cpython-36.pyc │ └── utils.py ├── datasets └── readme ├── net.jpg ├── pretrained-model └── epoch_91.pth ├── results └── readme ├── score.png ├── training └── readme └── 答辩ppt.jpg /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zdyshine/RTC2020_EfficientSR/HEAD/README.md -------------------------------------------------------------------------------- /codes/README.md: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /results/readme: -------------------------------------------------------------------------------- 1 | 存在测试的结果图片 2 | -------------------------------------------------------------------------------- /score.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zdyshine/RTC2020_EfficientSR/HEAD/score.png -------------------------------------------------------------------------------- /training/readme: -------------------------------------------------------------------------------- 1 | 存在训练过程中保存的log信息和模型 2 | -------------------------------------------------------------------------------- /答辩ppt.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zdyshine/RTC2020_EfficientSR/HEAD/答辩ppt.jpg --------------------------------------------------------------------------------