The dataset_prep.ipynb file contains code that was used for preparing the dataset.
In ISRO_SR file-
- Run the Model cell.
- Run the Inference cell.
- After running the inference cell , follow the example cell.
- In the example cell, a 2d numpy array which is in low resolution is passed to the final_model. Before passing the array, make sure to apply min-max standardization (to convert the pixel values between 0 and 1) on the image as shown in example.
- The output is the 32x super resolved image which is in the form of a 2d numpy array.
Note - The output image dimension will not be exactly 32 times. The input image is truncated so that both the dimensions are multiples of 80 inside the inference model.
Models state dictionaries for both stages of the model are provided in the same folder as the notebook.