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.

Google Colab File

Google Colab File

Github Repo Link

• Clone the repository

git clone https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking.git

• Goto the cloned folder.

cd YOLOv8-DeepSORT-Object-Tracking

• Install the dependecies

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

• Video Tutorial Link YouTube Link