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-API
repository
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/models
folder -
Run the API
python3 main.py
- Clone the
teamxynlab/MLA
repository
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