moaaztaha/Yolo-Interface-using-Streamlit
A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.
This tool helps you quickly analyze images or video footage to detect specific objects using YOLO models. You input your images, videos, or even your own pre-trained YOLO model, and it outputs the same media with detected objects highlighted. Anyone needing a simple, visual way to apply object detection without complex coding, such as a quality control inspector, security analyst, or biologist, would find this useful.
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Use this if you need to perform real-time object detection on images or videos and want a user-friendly, web-based interface for quick analysis and visualization.
Not ideal if you need to train new YOLO models from scratch or require batch processing of very large video files with detailed, frame-by-frame result logging.
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Python
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Last pushed
Aug 17, 2023
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