Detects and recognizes credit card digits (name, number, valid date, type: visa/mastercard) using AI and CV.
To see how I collected the dataset and trained my model please read the README in 'dataset' directory
After you train your model save it as "models/darknet-yolov3_best.weights"
I coudln't attache the dataset because of private details of the cards holders
python >= 3.6
python libraries:
- opencv-python (cv2)
- flask
- flask_restful
- jsonpickle
- numpy
Install libraries using pip3
pip3 install -r requirements.txt- Standalone application
python3 main.py <image_path> Option: image_path = examples/6.jpg or image_path = examples/8.jpg
Image should be credit card image with minimum background.
- Rest API - running https server
python3 REST_api.pyOptional:
python3 REST_api.py --host <host_ip> --port <port_number>Default argument:
--host = 0.0.0.0
--port = 5000
clinet url should be POST method and looks like this: http://<host_ip>:<port_number>/pic
Attach to the request credit card image that filmed from Simplify application.
Dataset:
- Friends, especially Guy Chriqui :)
- Imagaug
Training:
This project is licensed under the MIT License - see the LICENSE.md file for details
Shira Levy - Shira Star
"It is only with the heart that one can see rightly, what is essential is invisible to the eye" Le petit prince