Comments (6)
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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@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 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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@JonathanFly That was the key! 24bit image cannot be processed : ) after converting them to 8bit, everything works fine.
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@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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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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Related Issues (20)
- How do I continue the training from the point where it stopped? I encountered a sudden shutdown HOT 3
- How to run the training on multiple GPUs?
- can you guys run TG with your Nvidia 30 series GPU? HOT 3
- What's the difference between input_dir_LR and input_dir_HR? HOT 1
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