| # CRNN | |
| An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition | |
| `text_recognition_crnn.onnx` is trained using the code from https://github.com/zihaomu/deep-text-recognition-benchmark, which can only recognize english words. It is obtained from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr and renamed from `CRNN_VGG_BiLSTM_CTC.onnx`. Visit https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html for more information. | |
| ## Demo | |
| ***NOTE**: This demo use [text_detection_db](../text_detection_db) as text detector. | |
| 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 | |
| ``` | |
| ## License | |
| All files in this directory are licensed under [Apache 2.0 License](./LICENSE). | |
| ## Reference | |
| - https://arxiv.org/abs/1507.05717 | |
| - https://github.com/bgshih/crnn | |
| - https://github.com/meijieru/crnn.pytorch | |
| - https://github.com/zihaomu/deep-text-recognition-benchmark | |
| - https://docs.opencv.org/4.5.2/d9/d1e/tutorial_dnn_OCR.html |