The google colab file link for yolov8 segmentation 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

YouTube Link

Github Repo Link

Google Colab File

YouTube Link

• Clone the repository

git clone https://github.com/MuhammadMoinFaisal/YOLOv8_Segmentation_DeepSORT_Object_Tracking.git

• Goto the cloned folder.

cd YOLOv8_Segmentation_DeepSORT_Object_Tracking

• Install the Dependencies

pip install -e '.[dev]'

• Setting the Directory.

cd ultralytics/yolo/v8/segment

• 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 ultralytics/yolo/v8/segment folder

• Downloading a Sample Videos from the Google Drive

• Demo Video 1

gdown "https://drive.google.com/uc?id=19P9Cf9UiJ9gU9KHnAfud6hrFOgobETTX"

• Demo Video 2

gdown "https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t"

• Demo Video 3

gdown "https://drive.google.com/uc?id=1aL0XIoOQlHf9FBvUx3FMfmPbmRu0-rF-&confirm=t"

• Run the code with mentioned command below.

• For yolov8 segmentation + Tracking

python predict.py model=yolov8x-seg.pt source="test1.mp4"

• Video Tutorial Link YouTube Link

• https://github.com/ultralytics/ultralytics