YOLOv9 Object Detection with DeepSORT Tracking(ID + Trails)

New Features

• Added Label for Every Track
• Code can run on Both (CPU & GPU)
• Video/WebCam/External Camera/IP Stream Supported

Ready to Use Google Colab

Google Colab File

Steps to run Code

• Clone the repository

git clone https://github.com/MuhammadMoinFaisal/YOLOv9-DeepSORT-Object-Tracking.git

• Goto the cloned folder.

cd YOLOv9-DeepSORT-Object-Tracking

• Install requirements with mentioned command below.

pip install -r requirements.txt

• Download the pre-trained YOLOv9 model weights yolov9

• Downloading the DeepSORT Files From The Google Drive

gdown "https://drive.google.com/uc?id=11ZSZcG-bcbueXZC3rN08CM0qqX3eiHxf&confirm=t"

• After downloading the DeepSORT Zip file from the drive, unzip it.

• Download sample videos from the Google Drive

gdown "https://drive.google.com/uc?id=115RBSjNQ_1zjvKFRsQK2zE8v8BIRrpdy&confirm=t"
gdown "https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t"

# for detection only
python detect_dual.py --weights 'yolov9-c.pt' --source 'your video.mp4' --device 0

#for detection and tracking
python detect_dual_tracking.py --weights 'yolov9-c.pt' --source 'your video.mp4' --device 0

#for WebCam
python detect_dual_tracking.py --weights 'yolov9-c.pt' --source 0 --device 0

#for External Camera
python detect_dual_tracking.py --weights 'yolov9-c.pt' --source 1 --device 0

#For LiveStream (Ip Stream URL Format i.e "rtsp://username:pass@ipaddress:portno/video/video.amp")
python detect_dual_tracking.py --weights 'yolov9-c.pt' --source "your IP Camera Stream URL" --device 0

#for specific class (person)
python detect_dual_tracking.py --weights 'yolov9-c.pt' --source 'your video.mp4' --device 0 --classes 0

#for detection and tracking with trails 
!python detect_dual_tracking.py --weights 'yolov9-c.pt' --source 'your video.mp4' --device 0 --draw-trails 

• Output file will be created in the working-dir/runs/detect/obj-tracking with original filename

Watch the Complete Step by Step Explanation

• Video Tutorial Link YouTube Link