Missed a couple README updates with last commit
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README.md
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README.md
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@ -59,6 +59,11 @@ Supervision was designed to be model agnostic. Just plug in any classification,
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5
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```
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<details>
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<summary>
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Example with Infernce
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</summary>
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Running with [Inference](https://github.com/roboflow/inference) can improve speed but requires a [Roboflow API key](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).
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```python
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@ -72,9 +77,12 @@ Running with [Inference](https://github.com/roboflow/inference) can improve spee
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>>> detections = sv.Detections.from_inference(result)
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>>> len(detections)
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5
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>>> 5
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```
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</details>
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### annotators
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Supervision offers a wide range of highly customizable [annotators](https://supervision.roboflow.com/annotators/), allowing you to compose the perfect visualization for your use case.
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@ -86,7 +86,7 @@ def detect(
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for filtering.
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"""
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results = model.infer(frame)[0]
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detections = sv.Detections.from_roboflow(results)
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detections = sv.Detections.from_inference(results)
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filter_by_class = detections.class_id == 0
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filter_by_confidence = detections.confidence > confidence_threshold
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return detections[filter_by_class & filter_by_confidence]
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