Welcome to MMOCR’s documentation!¶
Model Zoo
- Overview
- Text Detection Models
- Text Recognition Models
- An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
- NRTR
- RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
- Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
- SegOCR Simple Baseline.
- CRNN with TPS based STN
- Key Information Extraction Models
- Named Entity Recognition Models
Datasets
API Reference
- API Reference
- mmocr.apis
- mmocr.core
- mmocr.utils
- mmocr.models
- common_backbones
- textdet_dense_heads
- textdet_necks
- textdet_detectors
- textdet_losses
- textdet_postprocess
- textrecog_recognizer
- textrecog_backbones
- textrecog_necks
- textrecog_heads
- textrecog_convertors
- textrecog_encoders
- textrecog_decoders
- textrecog_losses
- textrecog_backbones
- textrecog_layers
- kie_extractors
- kie_heads
- kie_losses
- mmocr.datasets