 |
| A screenshot of Fabrik |
I tried to import several keras neural networks to Fabrik, and this is the result:
These are the models I successfully imported:
And these are some models I had troubles with:
| Model Link | Successfully Generated the JSON Model? | Problem | Error Message |
|---|---|---|---|
| https://github.com/ykamikawa/SegNet | Yes | Error when importing | ValueError: Unknown layer: MaxPoolingWithArgmax2D |
| https://github.com/zhixuhao/unet | Yes | Error when exporting | ValueError: `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, 64, 64, 512), (None, 63, 63, 512)] |
| https://github.com/yihui-he/u-net | Yes | Error when exporting | ValueError: `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, -1, 19, 256), (None, 0, 20, 256)] |
| https://github.com/aitorzip/Keras-ICNet | Yes | Error when importing | ValueError: bad marshal data (unknown type code) |
| https://github.com/preddy5/segnet | Yes | Error when importing | Cannot import layer of Layer type |
| https://github.com/k3nt0w/FCN_via_keras/ | No | ValueError: The input must have 3 channels; got `input_shape=(3, 224, 224)` | |
| https://github.com/0bserver07/Keras-SegNet-Basic | No | ValueError: total size of new array must be unchanged |
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ReplyDeleteKeras is a high-level neural networks API written in Python and capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. It allows for easy and fast prototyping, supports both convolutional networks and recurrent networks, and can run seamlessly on both CPU and GPU.
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