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def analysis_yolov8(frame, model_coco,confidence_set):
# 第一步：用COCO数据集推理
results_coco = model_coco(frame)
if results_coco:
for r in results_coco:
boxes = r.boxes
re_list = []
idx = 0
for box in boxes:
idx += 1
b = box.xyxy[0] # get box coordinates in (top, left, bottom, right) format
c = box.cls
# 保存标签和坐标值作为返回结果
blist = b.tolist()
labels_name = model_coco.names[int(c)]
confidence = float(box.conf)
confidence = round(confidence, 2)
# 过滤置信度以下目标
if confidence < confidence_set:
continue
# 一个结果字典
re_dict = {labels_name:blist}
re_list.append(re_dict)
return re_list