/object_detection_JamaahCounter

menghitung jamaah masjid UIN Sunan Kalijaga

Primary LanguagePython

Jamaah_counting_system

Monitoring Jamaah Number Who want to Pray at Religion Lab UIN SUNAN KALIJAGA

If you would like to see the complete results, please open the 'videoJamaahCounter.mp4' file.

Files

  • coco.txt: Contains class names used for object detection.
  • masjidCounter.mp4: Sample video file for jamaah counting system. Full Video
  • videoJamaahCounter.mp4 : Video Results of Jamaah Prayer at Religion Laboratorium at UIN Sunan Kalijaga. Full Video
  • main (2).py: main.py or Python script for Jamaah Counting system using YOLO.
  • README.md: This file, providing information about the repository.
  • tracker.py: Python script containing the custom Tracker class for object tracking.
  • yolov8s.pt: Pretrained weight file used for the YOLO model.

Prerequisites

You need to install this package before you run main (2).py:

  • Python : You can access this link to install python and using pip for installing packages/libraries
  • CV2 :
    pip install opencv-python
  • ultralytics :
    pip install ultralytics
  • cvzone :
    pip install cvzone
  • numPy :
    pip install numpy
  • Pandas :
    pip install pandas
    

Models

  • Yolov8s

Author

  • Muhammad Imam Ariq Sya'bana