vvebshare/dlhackweb

Grapes segmentation

This project demonstrates the segmentation of grape images in real-time.

Installation

1. Clone the repository:

   git clone https://github.com/VVebSharE/DLHackWeb

2. Navigate to the project directory:

   cd DLHackWeb

3. Install the required Python packages using pip:

   pip install -r req.txt

4. Create a .env file in the project root directory and add your JWT secret key:

   JWT_SECRET_KEY=your_secret_key_here
   

5. Update in inferece.py to add the path of the model file.

   from PIDNET_UPDATed.tools.custommy import Model #change this import to your model
   mymodel = Model()
   

Usage

To run the Flask application, execute the following command:

flask run

To run on local network:

flask run --host=0.0.0.0

Integrate your Frontend

Update the request url in the frontend to the url of the backend server.