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JMTrans
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JMTrans - Japanese Manga Translator

get japanese manga from url to translate manga image using SickZil(text segmentation model), google ocr(or window ocr) and eztrans xp(or google translator)
gui version 0.3a is released. Window ocr and google translate api are now supported.

download latest version (using eztrans xp(or google translator), support multi lang)
https://github.com/ttop32/JMTrans/releases/latest/download/JMTrans.zip

pre released colab version (using google translator only, support multi lang)
https://colab.research.google.com/drive/1XbR7fNXtT4TGlLI1FBcCQv7Gj5mlDvwb?usp=sharing

Result

result result result result result result result

gui

gui

Required environment to run

  • google ocr : google drive permission(credential file and scope file)
  • window ocr : Microsoft.NET v4.0.30319 and window japanese ocr
  • ez trans xp korea translator : ez trans xp program and ehnd

How to use

  • open the program and type manga site url then press enter
  • It process translation (it takes time)
  • it will create zip file on user's window download folder

Supported URL

gallery-dl is used to download. Its support sites are:

Workflow

  • use gallery-dl to get managa from inputted url
  • do text segmentation from manga image using SickZil
  • use opencv contour technique to detect text to crop text image based on text segmentation results
  • get text from image using google ocr(or window ocr)
  • convert japanese text to translated text using eztrans xp(or google translator)
  • use pil to place translated text

Run python

python gui.py

pip install

pip install tensorflow-gpu==1.14.0
pip install requests
pip install PyQt5
pip install tqdm funcy opencv-python Pillow
pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
pip install --upgrade pyinstaller==3.2.1
pip install cefpython3
pip install pywin32
pip install matplotlib
pip install imageio
pip install google_trans_new
pip install beautifulsoup4
pip install wget
pip install pyperclip
pip install astor==0.8.0
pip uninstall h5py

or
conda remove --name py35 --all
conda create --name py35 python=3.5
activate py35
pip install -r requirements.txt
pip freeze > requirements.txt

Acknowledgement and References