cnn-watermark-removal
Fully convolutional deep neural network to remove transparent overlays from images (by marcbelmont)
pytorch2keras
PyTorch to Keras model convertor (by gmalivenko)
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| cnn-watermark-removal | pytorch2keras | |
|---|---|---|
| 1 | 2 | |
| 1,216 | 846 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cnn-watermark-removal
Posts with mentions or reviews of cnn-watermark-removal.
We have used some of these posts to build our list of alternatives
and similar projects.
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A minute of silence for this person please
There actually should be a way to remove static watermarks, at least there are AI libraries to to do so with still images, like https://github.com/marcbelmont/cnn-watermark-removal. The result will be mediocre, and it's gonna take enormous amount of time to clean up though.
pytorch2keras
Posts with mentions or reviews of pytorch2keras.
We have used some of these posts to build our list of alternatives
and similar projects.
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
When comparing cnn-watermark-removal and pytorch2keras you can also consider the following projects:
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
NudeNet - Neural Nets for Nudity Detection and Censoring