metadata

title: Real Time YOLOv8 Object Detection with DeepSORT Tracking
sdk: gradio
app_file: app.py

YOLOv8 Object Detection with DeepSORT Tracking(ID + Trails)

Google Colab File Link (A Single Click Solution)

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.

Google Colab File

Object Detection and Tracking (ID + Trails) using YOLOv8 on Custom Data

Google Colab File Link (A Single Click Solution)

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-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