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/nawinrajkumar/FarmBound.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 '''
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Run the code with mentioned command below.
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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