Sharingan
Sharingan is a tool built on Python 3.6 using OpenCV 3.2 to extract news content as text from newspaperâs photo and perform news context extraction.
For more details and explanation, please refer the blog post here: http://vipul.xyz/2017/03/sharingan-newspaper-text-and-context.html
How it works?
News Extraction
Capture Image
Canny Edge Detection
Dilation
Contour Detection
Contour Approximation and Bound Box
Manual Mode
Context Extraction
The segmentation done above gives the following result after context extraction:
[âresidential terracesâ, âbusy marketsâ, âPuppiesâ, âinhumane conditionsâ, âpopular e-commerce sitesâ, âSriramapuramâ, âRussell Marketâ, âissue licencesâ,
âmeeting conditionsâ, âpositive impactâ, âpet ownersâ, âR. Shantha Kumarâ, âwelfare ofïŹcerâ, âAnimal Welfare Boardâ, âIndiaâ]
[âKittieâ]
[âCompassion Unlimitedâ]
[âpublic spacesâ, âAnimalâ, ârights activistsâ, âcivic bodyâ, âBengaluruâ],
[âBENGALURUâ, âBruhat Bengaluru Mahanagar Palikeâ, âDaneâ, âEnglish Mastiffâ, âBulldogâ, âBoxerâ, âRottweilerâ, âBernardâ, âShepherdâ, âRetrieverâ,
âdraft guidelinesâ, âsterilisationâ, âpet dogs â, âOwnersâ]
Installation
Installing OpenCV 3.2 from source Python 3.6
-
wget https://github.com/Itseez/opencv/archive/3.2.0.zip
-
unzip 3.2.0.zip
-
cd opencv-3.2.0
-
mkdir release && cd release
cmake -DBUILD_TIFF=ON \ -DBUILD_opencv_java=OFF \ -DWITH_CUDA=OFF \ -DENABLE_AVX=ON \ -DWITH_OPENGL=ON \ -DWITH_OPENCL=ON \ -DWITH_IPP=OFF \ -DWITH_TBB=ON \ -DWITH_EIGEN=ON \ -DWITH_V4L=ON \ -DWITH_VTK=OFF \ -DBUILD_TESTS=OFF \ -DBUILD_PERF_TESTS=OFF \ -DCMAKE_BUILD_TYPE=RELEASE \ -DBUILD_opencv_python2=OFF \ -DCMAKE_INSTALL_PREFIX=$(python3.6 -c "import sys; print(sys.prefix)") \ -DPYTHON3_EXECUTABLE=$(which python3.6) \ -DPYTHON3_INCLUDE_DIR=$(python3.6 -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") \ -DPYTHON3_PACKAGES_PATH=$(python3.6 -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") ..
-
The output of above will be similar to this: output
-
make -j4
-
make install
Setting up Sharingan
git clone [email protected]:vipul-sharma20/sharingan.git
pip install -r requirements.txt
IMPORTANT: You will require some corpora and trained models for the code to run. You can refer to: http://www.nltk.org/data.html
-
Interactive Method:
In [1]: import nltk In [2]: nltk.download()
Docker
Try out the code on Jupyter Notebook
docker build -t sharingan-docker .
docker run -p 8888:8888 -it sharingan-docker
Thanks to
I am no wizard. Big thanks to people who came up with these solutions and posts:
- https://erget.wordpress.com/
- https://www.scivision.co/
- https://enumap.wordpress.com/
- http://stackoverflow.com/questions/15341538/
- http://stackoverflow.com/questions/30310430/
- http://www.pyimagesearch.com/
- http://to.predict.ch/
The Name?
See here: Sharingan
LICENSE
This project is licensed under MIT License:
Copyright (c) 2017-2018: Vipul Sharma
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
This project uses following external libraries, which have their own licenses:
- NLTK (https://github.com/nltk/nltk/blob/develop/LICENSE.txt) [Apache]
- OpenCV (https://github.com/opencv/opencv/blob/master/LICENSE) [BSD]
- NumPy (https://github.com/numpy/numpy/blob/master/LICENSE.txt)