用python代码写从vott导出的json文件中抽出标签的名字和数量。总共标签数,同一个标签有多少处图片被标注。
时间: 2024-09-16 07:05:34 浏览: 85
vott软件,计算机视觉打标签
在Python中,你可以使用`json`库解析VOTT导出的JSON文件,然后遍历数据结构以获取每个标签及其对应的图片数量。假设JSON文件内容类似这样:
```json
{
"tags": [
{
"name": "tag1",
"images": [
{"image_id": "img1", "x": ..., "y": ...},
{"image_id": "img2", "x": ..., "y": ...}
]
},
{
"name": "tag2",
"images": [
{"image_id": "img1", "x": ..., "y": ...},
{"image_id": "img3", "x": ..., "y": ...}
]
}
]
}
```
以下是一个简单的函数示例,它会计算总标签数和每个标签出现的次数:
```python
import json
def count_tags(json_file_path):
with open(json_file_path, 'r') as f:
data = json.load(f)
tags = data.get('tags', [])
tag_count = {tag['name']: len(tag['images']) for tag in tags}
total_labels = len(tags)
return tag_count, total_labels
# 使用函数并打印结果
tag_info = count_tags('path_to_your_vott_json.json')
tag_names_and_counts = dict(tag_info[0])
total_tag_count = tag_info[1]
print("Total labels:", total_tag_count)
print("Tag counts:")
for name, count in tag_names_and_counts.items():
print(f"{name}: {count} occurrences")
#
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