The API for the MLA web application.
Before proceeding, please ensure that you have trained a .h5 IS model using the Jupyter Notebooks found in xyntechx/Manga-Layout-Analysis.
- Clone the
teamxynlab/MLA-APIrepository
git clone https://github.com/teamxynlab/MLA-API.git-
CD into your local copy of
teamxynlab/MLA-API -
Create a Python virtual environment
python3 -m venv .venv- Activate the virtual environment
source .venv/bin/activate- Install the required packages
pip install -r requirements.txt-
Add your own MLA IS model (named
IS.h5) into the/modelsfolder -
Run the API
python3 main.py- Clone the
teamxynlab/MLArepository
git clone https://github.com/teamxynlab/MLA.git-
CD into your local copy of
teamxynlab/MLA -
Install the npm packages
npm i- Run the web app
npm run dev- Navigate to
http://localhost:5173/
- Flask
- TensorFlow
- Keras
- OpenCV
- Matplotlib
- React
- Vite