Changelog¶
v0.2.0 (18/5/2021)¶
Highlights
Add the NER approach Bert-softmax (NAACL’2019)
Add the text detection method DRRG (CVPR’2020)
Add the text detection method FCENet (CVPR’2021)
Increase the ease of use via adding text detection and recognition end-to-end demo, and colab online demo.
Simplify the installation.
New Features
Add Bert-softmax for Ner task #148
Add DRRG #189
Add FCENet #133
Add end-to-end demo #105
Add checkpoint for Chinese recognition #156
Add support for numpy array inference #74
Bug Fixes
Fix the duplicated point bug due to transform for textsnake #130
Fix CTC loss NaN #159
Fix error raised if result is empty in demo #144
Fix results missing if one image has a large number of boxes #98
Fix package missing in dockerfile #109
Improvements
v0.1.0 (7/4/2021)¶
Highlights
MMOCR is released.
Main Features
Support text detection, text recognition and the corresponding downstream tasks such as key information extraction.
For text detection, support both single-step (
PSENet
,PANet
,DBNet
,TextSnake
) and two-step (MaskRCNN
) methods.For text recognition, support CTC-loss based method
CRNN
; Encoder-decoder (with attention) based methodsSAR
,Robustscanner
; Segmentation based methodSegOCR
; Transformer based methodNRTR
.For key information extraction, support GCN based method
SDMG-R
.Provide checkpoints and log files for all of the methods above.