YOLOv8 Object Tracking (ID + Trails) Blurring and Counting

Google Colab File Link (A Single Click Solution)

The google colab file link for yolov8 object tracking, blurring and counting 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

YOLOv8 Segmentation with DeepSORT Object Tracking

Github Repo Link

Steps to run Code

• Clone the repository

git clone https://github.com/MuhammadMoinFaisal/YOLOv8-object-tracking-blurring-counting.git

• Goto the cloned folder.

cd YOLOv8-object-tracking-blurring-counting

• 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=1_kt1alzcLRVxet-Drx0mt_KFSd3vrtHU

• Run the code with mentioned command below.

• For yolov8 object detection, Tracking, blurring and object counting

python predict.py model=yolov8l.pt source="test1.mp4" show=True

RESULTS

YOLOv8 Object Detection, Tracking, Blurring and Counting

YOLOv8 Object Detection, Tracking, Blurring and Counting

Watch the Complete Step by Step Explanation

• Video Tutorial Link YouTube Link