You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def analysis_yolov8(frame, model_coco,confidence):
|
|
|
|
|
|
|
|
|
|
|
|
# 第一步：用COCO数据集推理
|
|
|
|
|
|
results_coco = model_coco(frame)
|
|
|
|
|
|
# print('results_coco:',results_coco)
|
|
|
|
|
|
if results_coco:
|
|
|
|
|
|
|
|
|
|
|
|
for r in results_coco:
|
|
|
|
|
|
|
|
|
|
|
|
boxes = r.boxes
|
|
|
|
|
|
|
|
|
|
|
|
re_dict_all = {}
|
|
|
|
|
|
|
|
|
|
|
|
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0.5以下目标
|
|
|
|
|
|
if confidence < confidence:
|
|
|
|
|
|
|
|
|
|
|
|
continue
|
|
|
|
|
|
|
|
|
|
|
|
# 一个结果字典
|
|
|
|
|
|
re_dict = [labels_name,blist]
|
|
|
|
|
|
|
|
|
|
|
|
re_list.append(re_dict)
|
|
|
|
|
|
|
|
|
|
|
|
# key = f"detection{idx}"
|
|
|
|
|
|
# re_dict_all[key] = re_dict
|
|
|
|
|
|
|
|
|
|
|
|
return re_list
|
