caffe-tensorflow
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No support for custom python layer
I am trying to convert FCN for semantic segmentation model to tensorflow and following is the error I get:
Error encountered: Unknown layer type encountered: Python
The first layer is a custom python layer defined by the network itself to read the data.
Will there be support added in future?
Hello @tejaswikasarla, I am having the same problem, trying to convert a GVV caffe network to tf. Did you find the solution?
Any recommendation on how to handle custom Caffe layers? I'm having the same issue with an application-specific network.
I didn't find any solution for this. I hope the author of the code has a workaround to suggest.
Same issue here. Hope to get an update :-(
dealing with the custom layer https://ndres.me/post/convert-caffe-to-tensorflow/