Merge pull request #1704 from roboflow/fix/from_inference_to_support_…

…deployed_roboflow_results

from_inference now supports roboflow results without json()

supervision/detection/core.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from contextlib import suppress
 from dataclasses import dataclass, field
 from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
 
@@ -606,8 +605,10 @@ def from_inference(cls, roboflow_result: Union[dict, Any]) -> Detections:
             detections = sv.Detections.from_inference(result)
             ```
         """
-        with suppress(AttributeError):
+        if hasattr(roboflow_result, "dict"):
             roboflow_result = roboflow_result.dict(exclude_none=True, by_alias=True)
+        elif hasattr(roboflow_result, "json"):
+            roboflow_result = roboflow_result.json()
         xyxy, confidence, class_id, masks, trackers, data = process_roboflow_result(
             roboflow_result=roboflow_result
         )

supervision/keypoint/core.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from contextlib import suppress
 from dataclasses import dataclass, field
 from typing import Any, Dict, Iterable, Iterator, List, Optional, Tuple, Union
 
@@ -204,9 +203,10 @@ def from_inference(cls, inference_result: Union[dict, Any]) -> KeyPoints:
                 "You can retrieve it like so:  inference_result = model.infer(image)[0]"
             )
 
-        with suppress(AttributeError):
+        if hasattr(inference_result, "dict"):
             inference_result = inference_result.dict(exclude_none=True, by_alias=True)
-
+        elif hasattr(inference_result, "json"):
+            inference_result = inference_result.json()
         if not inference_result.get("predictions"):
             return cls.empty()