Single Image Super-Resolution using Deep Learning(for an academic project)
Environment Config:
OS: Windows 10
Python Version: 3.9
TensorFlow Version: 2.4
CUDA Version: 11.2
Instructions for Execution:
- Fill up the folders DIV2K_train_HR/train and DIV2K_test_HR/test with the training and test images respectively in .jpg format.
- python [MODEL_NAME_final].py
- Results and the model in .h5 format will be saved in the base directory.
- Alternatively, jupyter notebooks have also been provided.
Sincerely,
Priyabrat