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mmdeploy/docs/codebases/mmocr.md

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[Docs]: Add sphinx document (#109) * Add document structure * better zh_cn document * add build example, update requirement * add readme * add usage * fix end of file * fix codebase names, add TODO
2021-10-09 14:10:42 +08:00
## MMOCR Support
[Docs] add ppl install doc, how to test a model doc and mmocr doc (#169) * add ppl install doc and how to test a model doc * remove mmdet model list in ppl.md * resolve comments * fix typo * add mmocr doc * mv configs as the final column * fix typo and align tables * fix lint
2021-11-09 11:43:38 +08:00
MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the corresponding downstream tasks including key information extraction. It is a part of the [OpenMMLab](https://openmmlab.com/) project.
### MMOCR installation tutorial
Please refer to [install.md](https://github.com/open-mmlab/mmocr/blob/main/docs/install.md) for installation.
### List of MMOCR models supported by MMDeploy
| model | task | OnnxRuntime | TensorRT | NCNN | PPL | model config file(example) |
| :---------- | :--------------: | :---------: | :-----------: | :---:| :---: | :--------------------------------------------------------------------------------------- |
| DBNet | text-detection | Y | Y | Y | Y | $PATH_TO_MMOCR/configs/textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py |
| CRNN | text-recognition | Y | Y | Y | N | $PATH_TO_MMOCR/configs/textrecog/crnn/crnn_academic_dataset.py |
| SAR | text-recognition | Y | N | N | N | $PATH_TO_MMOCR/configs/textrecog/sar/sar_r31_parallel_decoder_academic.py |
### Reminder
None
### FAQs
None