https://github.com/BestSonny/SSTD
Single Shot Text Detector with Regional Attention
https://github.com/BestSonny/SSTD
end-to-end iccv-17 scene-text sstd
Last synced: 20 days ago
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Single Shot Text Detector with Regional Attention
- Host: GitHub
- URL: https://github.com/BestSonny/SSTD
- Owner: BestSonny
- License: other
- Created: 2017-09-21T15:14:31.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-12T15:10:16.000Z (about 7 years ago)
- Last Synced: 2024-11-03T09:33:45.323Z (6 months ago)
- Topics: end-to-end, iccv-17, scene-text, sstd
- Language: C++
- Homepage:
- Size: 4.15 MB
- Stars: 213
- Watchers: 18
- Forks: 78
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
[](LICENSE)
# Single Shot Text Detector with Regional Attention
## Introduction
**SSTD** is initially described in our [ICCV 2017 spotlight paper](https://arxiv.org/abs/1709.00138).
[A third-party implementation of SSTD + Focal Loss](https://github.com/HotaekHan/SSTDNet). Thanks,
Ho taek Han
If you find it useful in your research, please consider citing:
```
@inproceedings{panhe17singleshot,
Title = {Single Shot Text Detector with Regional Attention},
Author = {He, Pan and Huang, Weilin and He, Tong and Zhu, Qile and Qiao, Yu and Li, Xiaolin},
Note = {Proceedings of Internatioanl Conference on Computer Vision (ICCV)},
Year = {2017}
}
@inproceedings{panhe16readText,
Title = {Reading Scene Text in Deep Convolutional Sequences},
Author = {He, Pan and Huang, Weilin and Qiao, Yu and Loy, Chen Change and Tang, Xiaoou},
Note = {Proceedings of AAAI Conference on Artificial Intelligence, (AAAI)},
Year = {2016}
}
@inproceedings{liu16ssd,
Title = {{SSD}: Single Shot MultiBox Detector},
Author = {Liu, Wei and Anguelov, Dragomir and Erhan, Dumitru and Szegedy, Christian and Reed, Scott and Fu, Cheng-Yang and Berg, Alexander C.},
Note = {Proceedings of European Conference on Computer Vision (ECCV)},
Year = {2016}
}
```
### Installation
1. Get the code. We will call the directory that you cloned Caffe into `$CAFFE_ROOT`
```Shell
git clone https://github.com/BestSonny/SSTD.git
cd SSTD
```
2. Build the code. Please follow [Caffe instruction](http://caffe.berkeleyvision.org/installation.html) to install all necessary packages and build it.
```Shell
# Modify Makefile.config according to your Caffe installation.
cp Makefile.config.example Makefile.config
make -j8
# Make sure to include $CAFFE_ROOT/python to your PYTHONPATH.
make py
make test -j8
# (Optional)
make runtest -j8
# build nms
cd examples/text
make
cd ..
```
3. Run the demo code. Download Model [google drive](https://docs.google.com/uc?export=download&id=0Bx8FPKhlXE1lOTF1TzIxOGhsblk), [baiduyun](https://pan.baidu.com/s/1c1ML6dM) and put it in `text/model` folder
```Shell
cd examples
sh text/download.sh
mkdir text/result
python text/demo_test.py
```