帮我写一个cvat的cocokeypoints 关键点批量转yolov8pose txt数据集的脚本
时间: 2024-01-27 10:05:18 浏览: 70
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好的,我可以帮您写一个cvat的cocokeypoints关键点批量转yolov8pose txt数据集的脚本。以下是 Python 代码示例:
```python
import json
# 设置输入和输出文件路径
input_file = 'cocokeypoints.json'
output_file = 'yolov8pose.txt'
# 打开输入文件并加载JSON数据
with open(input_file, 'r') as f:
data = json.load(f)
# 遍历每个样本并将关键点转换为yolov8pose格式
with open(output_file, 'w') as f:
for sample in data['annotations']:
# 获取关键点坐标
keypoints = sample['keypoints']
# 将关键点坐标转换为yolov8pose格式
yolov8pose = []
for i in range(0, len(keypoints), 3):
if keypoints[i+2] == 0: # 如果可见性为0,则跳过该关键点
continue
x = keypoints[i]
y = keypoints[i+1]
score = keypoints[i+2]
yolov8pose.append(f'{i//3} {x} {y} {score}')
# 将yolov8pose格式写入输出文件
if len(yolov8pose) > 0:
image_id = sample['image_id']
f.write(f'{image_id}.jpg {" ".join(yolov8pose)}\n')
print('转换完成!')
```
这个脚本将cvat的cocokeypoints格式转换为yolov8pose格式,并输出到指定的文本文件中。请注意,您需要将`input_file`和`output_file`变量设置为您自己的文件路径。
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