Streamlit Webcam Test

What is Streamlit Webcam Test ?

Streamlit Webcam Test is a Streamlit-based application designed to track objects in video streams. It leverages your computer's webcam to capture real-time video and detect objects within the feed. This tool is ideal for developers and users looking to experiment with real-time object detection and tracking, making it a simple yet effective solution for various applications.

Features

• Real-time Object Detection: Detect objects in live webcam feed using AI-powered algorithms.
• User-Friendly Interface: Streamlit's intuitive interface allows for easy interaction and customization.
• Multiple Object Tracking: Support for detecting and tracking multiple objects simultaneously.
• Real-Time Tracking: Continuously updates the video stream with object detection results.
• Cross-Platform Compatibility: Works on Windows, macOS, and Linux systems.
• Integration Ready: Can be integrated with other Streamlit apps for enhanced functionality.

How to use Streamlit Webcam Test ?

1. Install Streamlit: If not already installed, run pip install streamlit in your terminal.
2. Clone the Repository: Download or clone the Streamlit Webcam Test repository.
3. Install Dependencies: Ensure all required dependencies are installed using pip install -r requirements.txt.
4. Run the App: Navigate to the app's directory and run streamlit run streamlit_webcam_test.py.
5. Grant Webcam Access: When prompted, allow the app to access your webcam.
6. Select Webcam: From the dropdown menu, choose your webcam device if multiple are connected.
7. Start Detection: Click the "Start Detection" button to begin real-time object tracking.
8. Exit the App: Press q or close the browser window to terminate the session.

Frequently Asked Questions

How accurate is the object detection?
The accuracy depends on the AI model used for detection. Streamlit Webcam Test integrates with state-of-the-art models for reliable results.

Can I use multiple webcams simultaneously?
Currently, the app supports one webcam at a time. However, you can switch between devices using the dropdown menu.

Does it work on mobile devices?
Yes, as long as your mobile device supports running Python and Streamlit. Ensure your device has a webcam and necessary permissions enabled.