118 lines
3.8 KiB
Python
118 lines
3.8 KiB
Python
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# -------------------------------------------------------#
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# 用于处理COCO数据集，根据json文件生成txt文件用于训练
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# -------------------------------------------------------#
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import json
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import os
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from collections import defaultdict
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# -------------------------------------------------------#
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# 指向了COCO训练集与验证集图片的路径
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# -------------------------------------------------------#
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train_datasets_path = "coco_dataset/train2017"
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val_datasets_path = "coco_dataset/val2017"
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# -------------------------------------------------------#
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# 指向了COCO训练集与验证集标签的路径
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# -------------------------------------------------------#
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train_annotation_path = "coco_dataset/annotations/instances_train2017.json"
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val_annotation_path = "coco_dataset/annotations/instances_val2017.json"
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# -------------------------------------------------------#
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# 生成的txt文件路径
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# -------------------------------------------------------#
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train_output_path = "coco_train.txt"
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val_output_path = "coco_val.txt"
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if __name__ == "__main__":
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name_box_id = defaultdict(list)
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id_name = dict()
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f = open(train_annotation_path, encoding='utf-8')
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data = json.load(f)
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annotations = data['annotations']
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for ant in annotations:
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id = ant['image_id']
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name = os.path.join(train_datasets_path, '%012d.jpg' % id)
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cat = ant['category_id']
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if cat >= 1 and cat <= 11:
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cat = cat - 1
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elif cat >= 13 and cat <= 25:
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cat = cat - 2
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elif cat >= 27 and cat <= 28:
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cat = cat - 3
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elif cat >= 31 and cat <= 44:
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cat = cat - 5
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elif cat >= 46 and cat <= 65:
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cat = cat - 6
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elif cat == 67:
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cat = cat - 7
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elif cat == 70:
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cat = cat - 9
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elif cat >= 72 and cat <= 82:
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cat = cat - 10
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elif cat >= 84 and cat <= 90:
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cat = cat - 11
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name_box_id[name].append([ant['bbox'], cat])
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f = open(train_output_path, 'w')
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for key in name_box_id.keys():
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f.write(key)
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box_infos = name_box_id[key]
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for info in box_infos:
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x_min = int(info[0][0])
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y_min = int(info[0][1])
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x_max = x_min + int(info[0][2])
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y_max = y_min + int(info[0][3])
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box_info = " %d,%d,%d,%d,%d" % (
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x_min, y_min, x_max, y_max, int(info[1]))
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f.write(box_info)
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f.write('\n')
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f.close()
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name_box_id = defaultdict(list)
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id_name = dict()
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f = open(val_annotation_path, encoding='utf-8')
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data = json.load(f)
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annotations = data['annotations']
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for ant in annotations:
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id = ant['image_id']
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name = os.path.join(val_datasets_path, '%012d.jpg' % id)
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cat = ant['category_id']
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if cat >= 1 and cat <= 11:
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cat = cat - 1
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elif cat >= 13 and cat <= 25:
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cat = cat - 2
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elif cat >= 27 and cat <= 28:
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cat = cat - 3
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elif cat >= 31 and cat <= 44:
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cat = cat - 5
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elif cat >= 46 and cat <= 65:
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cat = cat - 6
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elif cat == 67:
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cat = cat - 7
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elif cat == 70:
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cat = cat - 9
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elif cat >= 72 and cat <= 82:
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cat = cat - 10
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elif cat >= 84 and cat <= 90:
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cat = cat - 11
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name_box_id[name].append([ant['bbox'], cat])
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f = open(val_output_path, 'w')
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for key in name_box_id.keys():
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f.write(key)
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box_infos = name_box_id[key]
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for info in box_infos:
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x_min = int(info[0][0])
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y_min = int(info[0][1])
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x_max = x_min + int(info[0][2])
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y_max = y_min + int(info[0][3])
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box_info = " %d,%d,%d,%d,%d" % (
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x_min, y_min, x_max, y_max, int(info[1]))
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f.write(box_info)
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f.write('\n')
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f.close()
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