Pay20Y / GCAN

Gaussian Constrained Attention Network for Scene Text Recognition

Introduction

Implementation of the paper "Gaussian Constrained Attention Network for Scene Text Recognition" (Under Review)

How to use

Install

pip3 install -r requirements.txt

Train

• Data prepare
  LMDB format is suggested. refer here to generate data in LMDB format.

• Run

   python3 train.py --checkpoints /path/to/save/checkpoints --train_data_dir /path/to/your/train/LMDB/data/dir --test_data_dir /path/to/your/validation/LMDB/data/dir -g "0" --train_batch_size 128 --val_batch_size 128 --aug True --att_loss_type "l1" --att_loss_weight 10.0
  

  More hyper-parameters please refer to config.py

Test

• Download the pretrained model from BaiduYun (key:w14k)
• Download the benchmark datasets from BaiduYun (key: nphk) shared by clovaai in this repo

python3 test.py --checkpoints /path/to/the/pretrained/model --test_data_dir /path/to/the/evaluation/benchmark/lmdb/dir -g "0"

Experiments on benchmarks

IIIT5K	IC13	IC15	SVT	SVTP	CUTE
94.4	93.3	77.1	90.1	81.2	85.6