Room-Number-Recognition

Room number recognition service for indoor self-driving cars. This service analyzes all contours in every single frame, finds the Room Number Plate, and extracts the number from the plate.

Branches

• master: stable version for release (with tag named like v1.7.4)
• develop: branch for development
• hotfix: fix bugs occurred at a stable version

Training

Checker Model

.

SVHN Model

SVHN Model is a CNN model based on YOLOv5-small model, which is trained with SVHN Dataset(format 2).
For more information, visit this repository: icns-distributed-cloud/YOLOv5-SVHN

Project Structure

/
├── docs/
├── app/
└── README.md 

• docs: documentation files
• app: main service

Environment

• Training

  • CentOS 7.5
  • Nvidia GTX 1080 Ti * 8ea
  • Python 3.8
  • PyTorch 1.7.0

• Service

  • Raspberry Pi 4 Model B
  • Raspbian Buster
  • Python 3.8
  • OpenCV 4.4.0

Quickstart

$ git clone https://github.com/icns-distributed-cloud/Room-Number-Recognition
$ cd Room-Number-Recognition/app
$ pip3 install -r requirements.txt
$ python3 main.py --config=config.json