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⚡️ Speed up function process_transformers_detection_result by 66% #50

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⚡️ Speed up function process_transformers_detection_result by 66% #50

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22 changes: 14 additions & 8 deletions supervision/detection/tools/transformers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,15 +26,21 @@ def process_transformers_detection_result(
dict: Processed detection result including bounding boxes, confidence scores,
class IDs, and data.
"""
class_ids = detection_result["labels"].cpu().detach().numpy().astype(int)
data = append_class_names_to_data(class_ids, id2label, {})
labels = detection_result["labels"].cpu().numpy().astype(int)
boxes = detection_result["boxes"].cpu().numpy()
scores = detection_result["scores"].cpu().numpy()

return dict(
xyxy=detection_result["boxes"].cpu().detach().numpy(),
confidence=detection_result["scores"].cpu().detach().numpy(),
class_id=class_ids,
data=data,
)
data = {}
if id2label is not None:
class_names = [id2label[label] for label in labels]
data[CLASS_NAME_DATA_FIELD] = class_names

return {
"xyxy": boxes,
"confidence": scores,
"class_id": labels,
"data": data,
}


def process_transformers_v4_segmentation_result(
Expand Down