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JonathanFly avatar JonathanFly commented on July 22, 2024 3

Right now you have to break your video into separate images for every frame like 0001.png

Try running it in this Colab, if you can: https://github.com/ak9250/TecoGAN/blob/master/Tecogan.ipynb

By default it runs the Calendar video which is in /content/TecoGAN/LR/calendar/0001.jpg etc on Google Colab anyway.

No promises but if I get some free time I may make an easier Colab to use.

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iPsych avatar iPsych commented on July 22, 2024

@JonathanFly I tried with my own .png frames, but the result are white images.
The test data (calendar) works perfectly.
Is there any general case, the results are just white images?

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JonathanFly avatar JonathanFly commented on July 22, 2024

@JonathanFly I tried with my own .png frames, but the result are white images.
The test data (calendar) works perfectly.
Is there any general case, the results are just white images?

Off the top my head, try using 8 bit instead of 24 bit, or vice versa? Maybe just open the calendar png and make sure it's not different in some way.

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iPsych avatar iPsych commented on July 22, 2024

@JonathanFly That was the key! 24bit image cannot be processed : ) after converting them to 8bit, everything works fine.

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mateush avatar mateush commented on July 22, 2024

@JonathanFly That was the key! 24bit image cannot be processed : ) after converting them to 8bit, everything works fine.

Hi @iPsych and @Jairoinfinity! Were you happy with the results?

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ziemowit-s avatar ziemowit-s commented on July 22, 2024

Please make sure that the Colab you mentioned has a proper Tensorflow version. By default it installs the newest one which doesn't work:
Testing test case 1 Traceback (most recent call last): File "main.py", line 19, in <module> tf.set_random_seed(1234) AttributeError: module 'tensorflow' has no attribute 'set_random_seed'

When I reinstalled:

  • tensorflow==1.8
  • keras==2.1.6
    it works.

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