Automatic-Medicinal-Plant-Recognition-using-Image-Processing

This system was developed using Python and OpenCV. This project was developed for the course work of 2170001 and 2181108.

Dependency

1. OpenCV
2. NumPy
3. Pandas
4. Mahotas
5. Matplotlib
6. OS
7. Scikit Learn

Steps

1. Download the Test and Train datasets from the Database folder.
2. Go to the Codes Folder.
3. Run preprocessnew.py.
4. This will create a .csv file for your data.
5. Run classifynew.py.

PS Don't forget to change the paths where needed.

Output

The output will be provided using the html page.