FSRCNN-TensorFlow

TensorFlow implementation of the Fast Super-Resolution Convolutional Neural Network (FSRCNN). This implements two models: FSRCNN which is more accurate but slower and FSRCNN-s which is faster but less accurate. Based on this project.

Prerequisites

• Python 2.7
• TensorFlow
• Scipy version > 0.18
• h5py
• PIL

Usage

For training: python main.py
Can specify epochs, learning rate, data directory, etc:
python main.py --epochs 10 --learning_rate 0.0001 --data_dir Train

For testing: python main.py --is_train False

To use FSCRNN-s instead of FSCRNN: python main.py --fast True

Check main.py for all the possible flags

Includes script expand_data.py which scales and rotates all the images in your training set to expand it:
python expand_data.py Train

Result

Original butterfly image:
Bicubic interpolated image:
Super-resolved image:

References

• tegg89/SRCNN-Tensorflow
  
• liliumao/Tensorflow-srcnn
  
• carpedm20/DCGAN-tensorflow