cansunurdemirkiran / yolov3-objectdetection

Real-time object detection using OpenCV and YOLOv3.

Real-Time Object Detection

Real-time object detection project using OpenCV and YOLOv3.

Introduction

Real-time object detection and classification using OpencV library and YOLOv3 pre-trained weights. It detects 90 different objects and gives the output in Turkish. It prints the object names and predicted confidence values for each object using your camera.

Installation

• Check Python Version python -V python3 -V
• Install Pip sudo apt install python-pip sudo apt install python3-pip
• Install NumPy pip install numpy pip3 install numpy
• Install OpenCV pip install opencv-python pip install opencv-python3
• YOLOv3: Download the pre-trained YOLOv3 weights and config files from this repo and place it with the same directory or you can directly download from the YOLO website.

Usage

You can clone the project.

• git clone https://github.com/CansuNurDemirkiran/objetanima

Run the Project

• python objectdetection.py

It will run your camera and detects the objects.

Contributing

You can fork and clone the project in order to make contributions.

License

MIT