nawinrajkumar / farmbound

A project which aims to monitor livestock in agricultural field using YOLOv8.

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/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 '''

• 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

RESULTS

Vehicles Detection, Tracking and Counting

Vehicles Detection, Tracking and Counting

Watch the Complete Step by Step Explanation

• Video Tutorial Link YouTube Link