Fix bus.jpg path in predict.md (#19203)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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1 changed files with 11 additions and 9 deletions
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@ -404,7 +404,7 @@ Below are code examples for using each source type:
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model = YOLO("yolo11n.pt")
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# Run inference on 'bus.jpg' with arguments
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model.predict("bus.jpg", save=True, imgsz=320, conf=0.5)
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model.predict("https://ultralytics.com/images/bus.jpg", save=True, imgsz=320, conf=0.5)
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```
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Inference arguments:
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@ -473,8 +473,10 @@ All Ultralytics `predict()` calls will return a list of `Results` objects:
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model = YOLO("yolo11n.pt")
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# Run inference on an image
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results = model("bus.jpg") # list of 1 Results object
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results = model(["bus.jpg", "zidane.jpg"]) # list of 2 Results objects
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results = model("https://ultralytics.com/images/bus.jpg") # list of 1 Results object
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results = model(
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["https://ultralytics.com/images/bus.jpg", "https://ultralytics.com/images/zidane.jpg"]
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) # list of 2 Results objects
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```
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`Results` objects have the following attributes:
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@ -530,7 +532,7 @@ For more details see the [`Results` class documentation](../reference/engine/res
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model = YOLO("yolo11n.pt")
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# Run inference on an image
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results = model("bus.jpg") # results list
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results = model("https://ultralytics.com/images/bus.jpg") # results list
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# View results
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for r in results:
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@ -568,7 +570,7 @@ For more details see the [`Boxes` class documentation](../reference/engine/resul
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model = YOLO("yolo11n-seg.pt")
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# Run inference on an image
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results = model("bus.jpg") # results list
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results = model("https://ultralytics.com/images/bus.jpg") # results list
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# View results
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for r in results:
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@ -601,7 +603,7 @@ For more details see the [`Masks` class documentation](../reference/engine/resul
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model = YOLO("yolo11n-pose.pt")
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# Run inference on an image
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results = model("bus.jpg") # results list
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results = model("https://ultralytics.com/images/bus.jpg") # results list
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# View results
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for r in results:
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@ -635,7 +637,7 @@ For more details see the [`Keypoints` class documentation](../reference/engine/r
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model = YOLO("yolo11n-cls.pt")
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# Run inference on an image
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results = model("bus.jpg") # results list
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results = model("https://ultralytics.com/images/bus.jpg") # results list
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# View results
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for r in results:
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@ -670,7 +672,7 @@ For more details see the [`Probs` class documentation](../reference/engine/resul
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model = YOLO("yolo11n-obb.pt")
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# Run inference on an image
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results = model("boats.jpg") # results list
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results = model("https://ultralytics.com/images/boats.jpg") # results list
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# View results
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for r in results:
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@ -710,7 +712,7 @@ The `plot()` method in `Results` objects facilitates visualization of prediction
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model = YOLO("yolo11n.pt")
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# Run inference on 'bus.jpg'
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results = model(["bus.jpg", "zidane.jpg"]) # results list
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results = model(["https://ultralytics.com/images/bus.jpg", "https://ultralytics.com/images/zidane.jpg"]) # results list
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# Visualize the results
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for i, r in enumerate(results):
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