The google colab file link for yolov8 object detection and tracking is provided below, you can check the implementation in Google Colab, and its a single click implementation, you just need to select the Run Time as GPU, and click on Run All.
git clone https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking.git
cd YOLOv8-DeepSORT-Object-Tracking
pip install -e '.[dev]'
- Setting the Directory.
cd ultralytics/yolo/v8/detect
- Downloading the DeepSORT Files From The Google Drive
https://drive.google.com/drive/folders/1kna8eWGrSfzaR6DtNJ8_GchGgPMv3VC8?usp=sharing
- After downloading the DeepSORT Zip file from the drive, unzip it go into the subfolders and place the deep_sort_pytorch folder into the yolo/v8/detect folder
- Downloading a Sample Video from the Google Drive
gdown "https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t"
- Run the code with mentioned command below.
- For yolov8 object detection + Tracking
python predict.py model=yolov8l.pt source="test3.mp4" show=True
- For yolov8 object detection + Tracking + Vehicle Counting
- Download the updated predict.py file from the Google Drive and place it into ultralytics/yolo/v8/detect folder
- Google Drive Link
https://drive.google.com/drive/folders/1awlzTGHBBAn_2pKCkLFADMd1EN_rJETW?usp=sharing
- For yolov8 object detection + Tracking + Vehicle Counting
python predict.py model=yolov8l.pt source="test3.mp4" show=True
### RESULTS
#### Vehicles Detection, Tracking and Counting
![](./figure/figure1.png)
#### Vehicles Detection, Tracking and Counting
![](./figure/figure3.png)
### Watch the Complete Step by Step Explanation
- Video Tutorial Link [`YouTube Link`](https://www.youtube.com/watch?v=9jRRZ-WL698)
[![Watch the Complete Tutorial for the Step by Step Explanation](https://img.youtube.com/vi/9jRRZ-WL698/0.jpg)]([https://www.youtube.com/watch?v=StTqXEQ2l-Y](https://www.youtube.com/watch?v=9jRRZ-WL698))