2D Attentional Irregular Scene Text Recognizer
Unofficial PyTorch implementation of the paper, which transforms the irregular text with 2D layout to character sequence directly via 2D attentional scheme. They utilize a relation attention module to capture the dependencies of feature maps and a parallel attention module to decode all characters in parallel.
At present, the accuracy of the paper cannot be achieved. And i borrowed code from deep-text-recognition-benchmark
model
Feature
- Output image string once not like the seqtoseq model
Test
Now can not reach the accuracy in the original paper,so i don't upload the pretrained model. it will upload later.
Train
I prepared a small dataset for train.The image and labels are in ./dataset/BAIDU.
python train.py --root ./dataset/BAIDU/images/ --train_csv ./dataset/BAIDU/small_train.txt --val_csv ./dataset/BAIDU/small_train.txt