On Friday, 6 December 2019 at 01:07:38 UTC, Murilo wrote:
Hi everyone. I've spent the last weeks working on a program
which is able to read and understand text from an image
file(OCR) by using a rudimentary neural network after training
with a large amount of images(I made them myself, manually). It
even shows a map of all the parts of the images that have the
highest synaptic weights(warmer colors). It was made purely in
D using the arsd library. Below is the link to it if you wish
to take a look. For now it only understands upper case letters
from the English alphabet. I'll be adding more over time.
Cheers.
https://github.com/MuriloMir/Optical-Character-Recognition
Hey!
This looks like great work to learn from! Is there any chance you
could add a dub file to make it easy to build?
