The training data:
Notice that,
parameters can be found in ./lstm.yml
(higher priority) and lib/lstm/utils/config.y
some parameters need to be fined tune:
in ./lib/lstm/utils/gen.py
, the height of the images are the same, and I pad the width
to the same for each batch, so
if you want to use your own data, the height of the image shall be the same.
The accurary can be more that 95%
Read this blog for more details and this blog for how to
use tf.nn.ctc_loss
or warpCTC