I am currently implementing the fully convolutional regression network
which is outlined in detail in the paper "Synthetic Data for Text
Localisation in Natural Images" by Ankush Gupta et al.
I've got the network model compiled using the Keras API and I'm trying to
implement the custom loss
Hi,
We have this in mind for a long time, but we didn't had the time to do it.
The simplest, but not the most versatile version is to make a new op with
new c code. Then in it, you suppose the input is c contiguous. If not, you
call a numpy function that make it c contiguous or raise an error.