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.
- 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
