People Detector

People Detector is a Python script that processes videos as input and performs individual people detection, tracking, and counting. It uses YOLOv5, a state-of-the-art deep learning model for object detection, and motpy, a multi-object tracking library. It then displays bounding boxes around each person, assigns unique IDs, and shows the count of people in the video frame.

Run People Detector

1. Clone the repository

   git clone https://github.com/scimone/peopledetector.git

2. Install required packages

   pip install opencv-python
   pip install motpy
   pip install torch
   pip install git+https://github.com/ultralytics/yolov5.git
   

3. Place your video file in the data folder.

4. Change into the project directory.

5. Run the main script with python3 main.py.

6. Video is displayed with bounding boxes around detected people along with their unique IDs.