![]() Enable this by setting stream=True in the predictor's call method. Streaming Mode: Use the streaming feature to generate a memory-efficient generator of Results objects.Multiple Data Source Compatibility: Whether your data is in the form of individual images, a collection of images, video files, or real-time video streams, predict mode has you covered.YOLOv8's predict mode is designed to be robust and versatile, featuring: Highly Customizable: Various settings and parameters to tune the model's inference behavior according to your specific requirements.Ease of Use: Intuitive Python and CLI interfaces for rapid deployment and testing. ![]() Performance: Engineered for real-time, high-speed processing without sacrificing accuracy.Versatility: Capable of making inferences on images, videos, and even live streams.Here's why you should consider YOLOv8's predict mode for your various inference needs: Watch: How to Extract the Outputs from Ultralytics YOLOv8 Model for Custom Projects. Ultralytics YOLOv8 offers a powerful feature known as predict mode that is tailored for high-performance, real-time inference on a wide range of data sources. In the world of machine learning and computer vision, the process of making sense out of visual data is called 'inference' or 'prediction'.
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