Comments (2)
iamaaditya
commented on July 24, 2024
For the paper, we used the threshold of 1 (i.e 1%). 20 in the code might have just been left over from some experiments. Change that value to 1, and you should get similar results as reported in the paper.
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iamaaditya
commented on July 24, 2024
Please see the README
https://github.com/iamaaditya/image-compression-cnn/blob/67855c9a58aeb784ba0e75347d518aadf9c9ff6e/README.md#compressing-image-using-the-map
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Related Issues (20)
- errors in model.py HOT 4
- 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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