Skip to content

Convolutional recurrent network in pytorch

License

Notifications You must be signed in to change notification settings

littleManty/crnn.pytorch

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Convolutional Recurrent Neural Network

This software implements the Convolutional Recurrent Neural Network (CRNN) in pytorch. Origin software could be found in crnn

Run demo

A demo program can be found in demo.py. Before running the demo, download a pretrained model from Baidu Netdisk or Dropbox. This pretrained model is converted from auther offered one by tool. Put the downloaded model file crnn.pth into directory data/. Then launch the demo by:

python demo.py

The demo reads an example image and recognizes its text content.

Example image: Example Image

Expected output: loading pretrained model from ./data/crnn.pth a-----v--a-i-l-a-bb-l-ee-- => available

Dependence

Train a new model

  1. Construct dataset following origin guide. If you want to train with variable length images (keep the origin ratio for example), please modify the tool/create_dataset.py and sort the image according to the text length.
  2. Execute python train.py --adadelta --trainRoot {train_path} --valRoot {val_path} --cuda. Explore train.py for details.

About

Convolutional recurrent network in pytorch

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 91.8%
  • Lua 8.2%