Apply deep-style-transfer model onto video!

• Tensorflow (CPU version)

pip install tensorflow

• OpenCV
  • Windows: with Python 3.5 (x64)
    • pip install opencv-python
  • Mac:
    • Install through brew
  • Linux:
    • Build by your own or use other pre-build

1. Import Video and save_video from the correct module of package styler
2. Find and set the input video path in Line#44
3. Write a list comprehension to iterate through all frames, and make it be processed by Tensorflow.
4. Pass the results as a argument into function
5. Modify the class method read_frames() in styler/video.py
   • Read video frames from self.cap and collect frames into list
   • Apply resize() on each frame before add it to list
   • Also assign frames to "self" object
   • Return your results

If you can not save the output, you may try to change the codec used by changing the codec index in styler/utils.py Line#36.

We use the trained model and code in deep-style-transfer.