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iamaaditya avatar iamaaditya commented on July 24, 2024

You are correct. I have pushed the fix. When using VGG for pretrained wieghts all the layers that are not in VGG needs to be there. Also note for combine_images.py I have changed the model to "2". Previous model "6" only does binary separation of qualities, not the best way to see the effectiveness of the model.

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taowenleon avatar taowenleon commented on July 24, 2024

Hello, there are some errors in get_metrics.py when I set args.print_metrics = 1. Are there additional requirements for the environment? Thank you.

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iamaaditya avatar iamaaditya commented on July 24, 2024

Hi @DaveyTao

Yes, for metrics you would need both FFMPEG and VQMT. I have fixed the code to raise exception if those commands are not found.
Get VQMT from here https://github.com/Rolinh/VQMT
FFMPEG can be installed for your linux repository (apt-get)

Please update the path for 'vqmt' executable on line number 21 of get_metrics.py

On successful execution you will see line line this

image

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iamaaditya avatar iamaaditya commented on July 24, 2024

Param classes are in this file:
https://github.com/iamaaditya/image-compression-cnn/blob/master/params.py
Make sure to import them. If the issue is not this then paste the traceback in full, which will provide insight into the file and the source of the error.

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