fivkovic / clocksy Goto Github PK

⏰ A machine-learning-based analog clock recognition and time detection app developed during the Soft Computing university course.

• Python 3.7

1. Create a new virtual environment

   python3 -m venv myenv
   

2. Use requirements.txt to install all required dependencies.

   pip install -r requirements.txt
   

1. Download IP Webcam on your phone
2. Connect your PC and phone to the same local network
3. Start application and select Start Server option. The application will start capturing video and show you your IP address.
4. Use this IP address to run the controller.py script

python controller.py -s stream -su http://192.168.1.102:8080/video --width 720 --height 720

python controller.py -s webcam --width 640 --height 480

Run the scripts with default parameters.

clock_tracking\core.py -m train

time_reading\core.py -m train

Run the scripts with specifying the image count and noise threshold.

clock_tracking\core.py -m test -ic 2000 -nt 0.5

time_reading\core.py -m test -ic 2000 -nt 0.3

|
_{Filip Ivković} |
_{Katarina Tukelić} | | --- | --- |