This project is a naive implementation of SVM to recognize characters from a sample image.
To run the project get a sample image with characters written on it.
Run project_test.py on your sample input image to get the output.
The output shows the top 3 predictions for each characters in the sample input image.\
Note:
- You can also run project.py with a magic number of your choice(eg 1(slower) or 5(faster)) and make your own pkl file Then run project_test.py\
- Do install cv2 and the corresponding dependencies and change the path to dope folder containing the dataset before you run project.py