mirror of https://github.com/open-mmlab/mmocr.git
54 lines
1.8 KiB
Markdown
54 lines
1.8 KiB
Markdown
## Text Recognition Demo
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<div align="center">
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<img src="/resources/demo_text_recog_pred.jpg" width="200px" alt/><br>
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</div>
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### Text Recognition Image Demo
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We provide a demo script to test a [single demo image](/demo/demo_text_recog.jpg) for text recognition with a single GPU.
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*Text Recognition Model Preparation:*
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The pre-trained text recognition model can be downloaded from [model zoo](https://mmocr.readthedocs.io/en/latest/modelzoo.html).
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Take [SAR](/configs/textrecog/sar/sar_r31_parallel_decoder_academic.py) as an example:
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```shell
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python demo/image_demo.py ${TEST_IMG} ${CONFIG_FILE} ${CHECKPOINT_FILE} ${SAVE_PATH} [--imshow] [--device ${GPU_ID}]
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```
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Example:
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```shell
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python demo/image_demo.py demo/demo_text_recog.jpg configs/textrecog/sar/sar_r31_parallel_decoder_academic.py https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_parallel_decoder_academic-dba3a4a3.pth demo/demo_text_recog_pred.jpg
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```
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The predicted result will be saved as `demo/demo_text_recog_pred.jpg`.
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### Text Recognition Webcam Demo
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We also provide live demos from a webcam as in [mmdetection](https://github.com/open-mmlab/mmdetection/blob/a616886bf1e8de325e6906b8c76b6a4924ef5520/docs/1_exist_data_model.md).
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```shell
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python demo/webcam_demo.py \
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${CONFIG_FILE} \
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${CHECKPOINT_FILE} \
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[--device ${GPU_ID}] \
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[--camera-id ${CAMERA-ID}] \
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[--score-thr ${SCORE_THR}]
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```
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Examples:
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```shell
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python demo/webcam_demo.py \
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configs/textrecog/sar/sar_r31_parallel_decoder_academic.py \
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https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_parallel_decoder_academic-dba3a4a3.pth
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```
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### Remarks
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1. If `--imshow` is specified, the demo will also show the image with OpenCV.
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2. The `image_demo.py` script only supports GPU and so the `--device` parameter cannot take cpu as an argument.
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