63

GitHub - bendangnuksung/Image-OutPainting: Keras Implementation of Painting outs...

 4 years ago
source link: https://github.com/bendangnuksung/Image-OutPainting
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.

README.md

Keras implementation of Image OutPainting

This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. Some changes have been made to work with 256*256 image:

  • Added Identity loss i.e from generated image to the original image
  • Removed patches from training data. (training pipeline)
  • Replaced masking with cropping. (training pipeline)
  • Added convolution layers.

Results

The model was train with beach data for 200 epochs. Demo

Recursive painting

Demo

Tested with

  • python 3.5
  • keras==2.1.5
  • keras-contrib==2.0.8
  • tensorflow==1.5.0
  • opencv-python==3.4.0.12
  • Pillow==5.0.0
  • CUDA Version 9.0.176

Get Started

  1. Prepare Data:
    # Downloads the beach data and converts to numpy batch data
    # saves the Numpy batch data to 'data/prepared_data/'
    sh prepare_data.sh
  2. Build Model
    • To build Model from scratch you can directly run 'outpaint.ipynb'
      OR
    • You can Download my trained model and move it to 'checkpoint/' and run it.

References


About Joyk


Aggregate valuable and interesting links.
Joyk means Joy of geeK