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Single Image Super-Resolution using Deep Learning(for an academic project)

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SISR-Implementation

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:

  1. Fill up the folders DIV2K_train_HR/train and DIV2K_test_HR/test with the training and test images respectively in .jpg format.
  2. python [MODEL_NAME_final].py
  3. Results and the model in .h5 format will be saved in the base directory.
  4. Alternatively, jupyter notebooks have also been provided.

Sincerely,

Priyabrat

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Single Image Super-Resolution using Deep Learning(for an academic project)

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