This project is besed on text-detection-ctpn and sceneReco.Because I don't have a Nvidia gpu,so this project is run on cpu mode.
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ubuntu16.04
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anaconda3
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opencv3
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tensorflow
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pytorch
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warp_ctc_pytorch
CTPN:Detecting Text in Natural Image with Connectionist Text Proposal Network
There has three directories and a file at the root directory of this project:
| type | name | description |
|---|---|---|
| directory | ctpn | the module of ctpn |
| directory | crnn | the module of crnn |
| directory | imgs | the images that will be processed |
| file | demo.py | the main function of this project |
Download the model for crnn from baidu yun:here.Then put it into crnn/models
There are two methods to run this project.
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If you have many images to be recognized,you can put them into imgs/ and run python demo.py
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If you only have one or two images to be recognized,you can just run python demo.py image1 image2 ...
