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docs: 📝 add examples for using from_vlm with Moondream results in Detections class 

Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
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Onuralp SEZER 2025-07-10 23:54:38 +03:00
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29
supervision/detection/core.py
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@ -1009,6 +1009,35 @@ class Detections:
detections.data
# {'class_name': array(['cat', 'dog'], dtype='<U26')}
```
Examples:
```python
import supervision as sv
moondream_result = \"\"\"
{'objects': [{'x_min': 0.5704046934843063,
'y_min': 0.20069346576929092,
'x_max': 0.7049859315156937,
'y_max': 0.3012596592307091},
{'x_min': 0.6210969910025597,
'y_min': 0.3300672620534897,
'x_max': 0.8417936339974403,
'y_max': 0.4961046129465103}]}}]
\"\"\"
detections = sv.Detections.from_vlm(
sv.VLM.MOONDREAM,
moondream_result,
resolution_wh=(IMAGE.size[0], IMAGE.size[1]),
)
detections.xyxy
# array([[1752.28, 818.82, 2165.72, 1229.14],
# [1908.01, 1346.67, 2585.99, 2024.11]])
detections.class_id
# array([0, 1])
"""
vlm = validate_vlm_parameters(vlm, result, kwargs)