fix owlvit tests, update docstring examples (#18586)
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@@ -57,8 +57,8 @@ OWL-ViT is a zero-shot text-conditioned object detection model. OWL-ViT uses [CL
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... box = [round(i, 2) for i in box.tolist()]
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... if score >= score_threshold:
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... print(f"Detected {text[label]} with confidence {round(score.item(), 3)} at location {box}")
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Detected a photo of a cat with confidence 0.243 at location [1.42, 50.69, 308.58, 370.48]
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Detected a photo of a cat with confidence 0.298 at location [348.06, 20.56, 642.33, 372.61]
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Detected a photo of a cat with confidence 0.707 at location [324.97, 20.44, 640.58, 373.29]
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Detected a photo of a cat with confidence 0.717 at location [1.46, 55.26, 315.55, 472.17]
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```
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This model was contributed by [adirik](https://huggingface.co/adirik). The original code can be found [here](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit).
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