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Dedicated Inference API Docs (#14992)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Sergiu Waxmann 2024-08-07 13:29:48 +03:00 • committed by GitHub
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docs/en/modes/predict.md
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@ -104,7 +104,7 @@ YOLOv8 can process different types of input sources for inference, as shown in t
Use `stream=True` for processing long videos or large datasets to efficiently manage memory. When `stream=False`, the results for all frames or data points are stored in memory, which can quickly add up and cause out-of-memory errors for large inputs. In contrast, `stream=True` utilizes a generator, which only keeps the results of the current frame or data point in memory, significantly reducing memory consumption and preventing out-of-memory issues.
| Source | Argument | Type | Notes |
| Source | Example | Type | Notes |
| --------------- | ------------------------------------------ | --------------- | ------------------------------------------------------------------------------------------- |
| image | `'image.jpg'` | `str` or `Path` | Single image file. |
| URL | `'https://ultralytics.com/images/bus.jpg'` | `str` | URL to an image. |