ibaiGorordo/ONNX-YOLOv8-Object-Detection
Python scripts performing object detection using the YOLOv8 model in ONNX.
This project helps you automatically identify and locate objects within images or video streams. You provide an image, a video file, or a live webcam feed, and it outputs the same visual content with detected objects highlighted and labeled. This is useful for anyone needing to automate visual monitoring or analysis, such as security personnel, quality control inspectors, or researchers analyzing visual data.
481 stars. No commits in the last 6 months.
Use this if you need to quickly implement real-time object detection for images, video files, or a webcam feed.
Not ideal if your input images have significantly different aspect ratios than the model's expected input, as it might reduce accuracy due to direct resizing.
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481
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120
Language
Python
License
MIT
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Last pushed
Aug 22, 2024
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