Comments (3)
Try this: https://drive.google.com/file/d/1we83gFMXAcTC8i1tvTPVQ6_tsmZKuYGQ/view?usp=sharing
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@adi-prakash-ml, thanks for the reply. Sorry, but I'm looking for the pretrained VGG weights in params.py (self.vgg_weights = './data/caffe_layers_value.pickle')
the second point you mentioned:
2- "It is not required to use pretrained VGG weights, but if you do training will be faster. You may download pretrained weights referred in Params file as vgg_weights [from here]".
Thank you!
from image-compression-cnn.
Unfortunately, I no longer have the weights, and the source file (which I am not the owner of) seems to be dead. You can get the VGG16 weights from Keras https://keras.io/api/applications/vgg/; however, I think you should replace the backbone convnet with something better like EfficientNet, for which weights are freely available for all major libraries.
from image-compression-cnn.
Related Issues (20)
- errors in model.py HOT 4
- 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
- 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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