The implementation of DeepTextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework : ICCV 2017.
- python2.7
- opencv 3.x with python bindings
- Get the proper version of caffe
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or take required layers: Transpose, Reorg, Region, CTCLoss
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CTCLoss is warp around - https://github.com/baidu-research/warp-ctc - nice implementation, thanks!
git clone https://github.com/MichalBusta/caffe.git
cd caffe
git checkout darknet
- build caffe
mkdir Release
cd Release
cmake -D CMAKE_BUILD_TYPE=Release -D BLAS=Open -D BUILD_SHARED_LIBS=Off ..
make
make install (optionally)
- build project
cd "SOURCE dir"
mkdir build
cd build
cmake ..
make
RPN: https://drive.google.com/open?id=0B8SUcdkLTcuTZjRHeUpjdzhmbFE OCR: https://drive.google.com/open?id=0B8SUcdkLTcuTMmI0TS1uNDJaZGs
the paths are hard-coded, models shoud be at models subdirectory
python2 demo.py
- The provided RPN model is tiny version of full "YOLOv2" detector (= demo runs at 7 fps on 1GB Nvidia GPU)
- For decoding final output, we provide just greedy and dictionary based prefix decoding