mirror of https://github.com/open-mmlab/mmocr.git
24 lines
984 B
Markdown
24 lines
984 B
Markdown
## OCR End2End Demo
|
|
|
|
<div align="center">
|
|
<img src="https://github.com/open-mmlab/mmocr/raw/main/resources/demo_ocr_pred.jpg"/><br>
|
|
</div>
|
|
|
|
### End-to-End Test Image Demo
|
|
|
|
To end-to-end test a single image with text detection and recognition simutaneously:
|
|
|
|
```shell
|
|
python demo/ocr_image_demo.py demo/demo_text_det.jpg demo/output.jpg
|
|
```
|
|
|
|
- The default config for text detection and recognition are [PSENet_ICDAR2015](/configs/textdet/psenet/psenet_r50_fpnf_600e_icdar2015.py) and [SAR](/configs/textrecog/sar/sar_r31_parallel_decoder_academic.py), respectively.
|
|
|
|
- The predicted result will be saved as `demo/output.jpg`.
|
|
- To use other algorithms of text detection and recognition, please set arguments: `--det-config`, `--det-ckpt`, `--recog-config`, `--recog-ckpt`.
|
|
|
|
### Remarks
|
|
|
|
1. If `--imshow` is specified, the demo will also show the image with OpenCV.
|
|
2. The `ocr_image_demo.py` script only supports GPU and so the `--device` parameter cannot take cpu as an argument.
|