| # DB | |
| Real-time Scene Text Detection with Differentiable Binarization | |
| Note: | |
| - Models source: [here](https://drive.google.com/drive/folders/1qzNCHfUJOS0NEUOIKn69eCtxdlNPpWbq). | |
| - `IC15` in the filename means the model is trained on [IC15 dataset](https://rrc.cvc.uab.es/?ch=4&com=introduction), which can detect English text instances only. | |
| - `TD500` in the filename means the model is trained on [TD500 dataset](http://www.iapr-tc11.org/mediawiki/index.php/MSRA_Text_Detection_500_Database_(MSRA-TD500)), which can detect both English & Chinese instances. | |
| - Visit https://docs.opencv.org/master/d4/d43/tutorial_dnn_text_spotting.html for more information. | |
| ## Demo | |
| Run the following command to try the demo: | |
| ```shell | |
| # detect on camera input | |
| python demo.py | |
| # detect on an image | |
| python demo.py --input /path/to/image | |
| ``` | |
| ### Example outputs | |
|  | |
|  | |
| ## License | |
| All files in this directory are licensed under [Apache 2.0 License](./LICENSE). | |
| ## Reference | |
| - https://arxiv.org/abs/1911.08947 | |
| - https://github.com/MhLiao/DB | |
| - https://docs.opencv.org/master/d4/d43/tutorial_dnn_text_spotting.html |