YOLOv8 Segmentation with DeepSORT Object Tracking(ID + Trails)

Google Colab File Link (A Single Click Solution)

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 Video Tutorial Link

YouTube Link

YOLOv8 with DeepSORT Object Tracking

Github Repo Link

Steps to run Code

• 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"

RESULTS

Object Segmentation and DeepSORT Tracking (ID + Trails)

Object Segmentation and DeepSORT Tracking (ID + Trails)

Watch the Complete Step by Step Explanation

• Video Tutorial Link YouTube Link

References

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