VehicleCounter-Yolov3

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

• Link for better understanding : https://drive.google.com/file/d/18w0FSWB-bczSRPti_EPHo25qfM0s6KSm/view?usp=sharing

Prerequisites

• Linux distro or MacOS or Windows(Tested on Ubuntu 18.04)
• A street video file to run the vehicle counting
• The pre-trained yolov3 weight file should be downloaded by following these steps:

cd yolo-coco
wget https://pjreddie.com/media/files/yolov3.weights

Dependencies for using CPU for computations

• Python3 (Tested on Python 3.6.9)

sudo apt-get upgrade python3

• Pip3

sudo apt-get install python3-pip

• OpenCV 3.4 or above(Tested on OpenCV 3.4.2.17)

pip3 install opencv-python==3.4.2.17

• Imutils

pip3 install imutils

• Scipy

pip3 install scipy

Examples:

• Running with defaults

python3 yolo_video.py --input inputVideos/highway.mp4 --output outputVideos/highwayOut.avi --yolo yolo-coco 

• Specifying confidence

python3 yolo_video.py --input inputVideos/highway.mp4 --output outputVideos/highwayOut.avi --yolo yolo-coco --confidence 0.3

Reference

• https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/