rabi3elbeji / Price-Recognition

Price detection based on object detection with a deep learning model and OCR extraction with tesseract

Price Recognition

This is an example of a server client application that helps for price recognition from an image captured by the phone.

Server side

• Install Docker.

• Build the Docker image using the configurations inside the Dockerfile. The name of the image is object-detect.

docker build -t object-detect ./tf-serve

• Run the Docker image.

docker run --name object-detect -h 0.0.0.0 --network="host" --rm -d object-detect:latest
# --name        For easy referencing this container
# --network     Setup network as host
# --rm          Removes container when it is stopped
# -d            Daemonize the docker container
# -h            Setup hostname, so we can access it using localhost

• Models are available on Google Drive

Client side

• Install requirement (python version > 3.x)

pip3 install -r requirement.txt

• Run server

python api/predict.py

sample of price bbox detection and price compute results

Licence

MIT