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def iou_result_two(result_dict_list,iou_para):
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result_0 = list(result_dict_list[0].values())[0]
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result_1 = list(result_dict_list[1].values())[0]
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label_0 = list(result_dict_list[0].keys())[0]
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label_1 = list(result_dict_list[1].keys())[0]
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return_lists = []
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for re_0 in result_0:
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for re_1 in result_1:
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iou = calculate_iou(re_0, re_1)
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if iou > iou_para:
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label_dict_0 = {label_0: re_0}
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label_dict_1 = {label_1: re_1}
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return_lists.append(label_dict_0)
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return_lists.append(label_dict_1)
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return return_lists
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def calculate_iou(box1, box2):
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"""
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计算两个边界框之间的IoU值
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参数:
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box1: 边界框1的坐标（x1, y1, x2, y2）
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box2: 边界框2的坐标（x1, y1, x2, y2）
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返回值:
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iou: 两个边界框之间的IoU值
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"""
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x1 = max(box1[0], box2[0])
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y1 = max(box1[1], box2[1])
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x2 = min(box1[2], box2[2])
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y2 = min(box1[3], box2[3])
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# 计算交集区域面积
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intersection_area = max(0, x2 - x1 + 1) * max(0, y2 - y1 + 1)
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# 计算边界框1和边界框2的面积
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box1_area = (box1[2] - box1[0] + 1) * (box1[3] - box1[1] + 1)
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box2_area = (box2[2] - box2[0] + 1) * (box2[3] - box2[1] + 1)
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# 计算并集区域面积
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union_area = box1_area + box2_area - intersection_area
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# 计算IoU值
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iou = intersection_area / union_area
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return iou
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def select_bbox_by_labels(example_list, result_dicts_list):
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'''
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将result列表中的example列表内的bbox挑选出来,放到同一字典下
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'''
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result_dict_list_change = []
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for label in example_list:
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bbox_list = []
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for result in result_dicts_list:
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if list(result.keys())[0] == label:
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bbox_list.append(list(result.values())[0])
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result_dict_change = {label: bbox_list}
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result_dict_list_change.append(result_dict_change)
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return result_dict_list_change
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