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@@ -351,10 +351,10 @@ class AiView(View):
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# merge_image_width = image_size['width']
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single_height = merge_image_height//image_size['num']
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new_bounding_box_dict = {}
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- new_bounding_box_dict[n_time+'_0'] = []
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- new_bounding_box_dict[n_time+'_1'] = []
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- new_bounding_box_dict[n_time+'_2'] = []
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- new_bounding_box_dict[n_time+'_3'] = []
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+ new_bounding_box_dict['file_0'] = []
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+ new_bounding_box_dict['file_1'] = []
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+ new_bounding_box_dict['file_2'] = []
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+ new_bounding_box_dict['file_3'] = []
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for k, val in enumerate(boundingBoxList):
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boundingBoxTop = merge_image_height * val['Top']
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#找出当前边框属于哪张图片范围
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@@ -368,7 +368,7 @@ class AiView(View):
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boxDict['Height'] = merge_image_height*val['Height']/single_height
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boxDict['Top'] = ((merge_image_height*val['Top'])-(i*single_height))/single_height #减去前i张图片的高度
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boxDict['Left'] = val['Left']
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- new_bounding_box_dict["{n_time}_{i}".format(n_time=n_time,i=i)].append(boxDict)
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+ new_bounding_box_dict["file_{i}".format(i=i)].append(boxDict)
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# exit(new_bounding_box_list)
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conform_user_d_group = list(conform_user_d_group)
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conform_user_d_group.sort()
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