You can initialize your model here
evaluate_one_data(self, input_source: dict, input_target: dict) -> dict:
:param input_source: Ground truth boxes in one image
:param input_target:Target boxes in the same image
:return: A dict containing evaluation on one image and each category within it.
def get_result(self) -> dict:
A dict containing overall evaluation on all images and all categories.
'scope':1,//1-data级别;2-dataset级别
'mAP':0.123, // Float类型返回
'y':[1,0.5]//x数据将在前端渲染为横轴数据,y数据将在前端渲染为纵轴数据,x和y均为list,且长度一致。
'mAP': np.mean([1, 2, 3]).tolist(),