Comments (4)
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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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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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
from image-compression-cnn.
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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Related Issues (20)
- Some problems in codings HOT 2
- ValueError: invalid literal for int() with base 10: ''
- The map of one image is different from each time HOT 5
- the Output image size? HOT 8
- ROI range size HOT 2
- how to calculate PSNR of salient regions HOT 3
- Which software you have used to run this program? HOT 1
- How do you do JPEG compression?
- Issue with generate_map.py: "TypeError: Input 'split_dim' of 'Split' Op has type float32 that does not match expected type of int32" HOT 5
- How did you get these indicators, PSNR-HVS?
- faild when python generate_map.py image.png HOT 2
- combine_images.py very slow?
- some questions of training HOT 5
- invalid link for downloading caffe_layers_value.pickle HOT 3
- Error with generate map HOT 1
- Error when train
- Error when train HOT 1
- Python3 support
- Image compression problem? HOT 1
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