Real-time Object Detection using OpenCV | GUI | Complete Source Code | Python Project
Welcome to another exciting episode on the Technical Arhan Mansoori channel! In this video, we'll dive into the world of computer vision as we build a real-time object detection application using OpenCV and Python.
👨💻 Project Overview:
In this project, we implement a real-time object detection system using the SSD MobileNet V3 model. The application is built with OpenCV and Python, allowing us to detect and highlight various objects in a live video stream. We explore the intricacies of model loading, classifying, and drawing bounding boxes around detected objects.
📦 Project Source Code:
🔗 [Download the source code here](https://drive.google.com/drive/folder...)
(If the link doesn't work, please check the comment section for an alternative download link.)
📦 Project Source Code on GitHub :
https://github.com/Arhanmansoori/obje...
🔍 Project Features:
Adjustable threshold for object detection
Start and stop detection buttons for user control
Smooth integration with a user-friendly GUI using Tkinter
🔧 Dependencies:
OpenCV
Tkinter
Pillow (PIL)
🛠️ How to Run the Project:
1. Ensure you have the necessary dependencies installed.
2. Download the source code from the provided link.
3. Run the script and witness real-time object detection in action!
🔗 Connect with me:
Instagram: [ / arhan.mansoori.9484 ]
LinkedIn: [ / arhan-mansoori-8983791a8 ]
Don't forget to like, share, and subscribe for more exciting projects and tutorials! If you have any questions or encounter issues with the source code, drop a comment below, and I'll be happy to assist you.
Happy coding! 🚀👨💻
#ObjectDetection #OpenCV #Python #TechnicalArhanMansoori #MachineLearning #ComputerVision
En esta página del sitio puede ver el video en línea Real-time Object Detection using OpenCV | GUI | Complete Source Code | Python Project de Duración hora minuto segunda en buena calidad , que subió el usuario Technical Arhan Mansoori 12 enero 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 1,892 veces y le gustó 48 a los espectadores. Disfruta viendo!
