Object-detection-and-tracking-using-yolov3-and-deepsort

• Implemented object detection and tracking using YOLOv3 and Deep SORT.
• YOLOv3 uses a convolutional neural network for object detection,and Deep SORT combines this with motion data for accurate tracking.
• This can be used for various applications such as
  • Drone
  • Robots
  • Plane
  • Self-driving cars
  • Sensor fusion

Setting up environment to run on cpu

To set up the environment for this project,follow the steps

1.Create Environment (Conda recommended)

#Tensorflow CPU
conda env create -f conda-cpu.yml
conda activate tracker-cpu

2.Install dependencies

 #Tensorflow CPU
 pip install -r requirements.txt

References

• AiGuysCode_YOLOv3

• DeepSort_Repository