labelmejson转灰度图
时间: 2024-01-24 11:13:22 浏览: 139
根据提供的引用[1],可以使用以下步骤将labelme生成的json文件转换为灰度图:
1. 安装labelme和numpy库
```shell
pip install labelme numpy
```
2. 编写Python脚本,读取json文件并将其转换为灰度图
```python
import labelme
import numpy as np
# 读取json文件
with open('labelme.json', 'rb') as f:
data = labelme.LabelFile.load(f)
# 获取标注信息
shapes = data.shapes
# 创建灰度图
height, width = data.imageHeight, data.imageWidth
gray_img = np.zeros((height, width), dtype=np.uint8)
# 将标注信息写入灰度图
for shape in shapes:
label = shape['label']
points = shape['points']
mask = labelme.utils.shape_to_mask((height, width), points, shape_type=shape.get('shape_type', None), line_width=2, point_size=1)
gray_img[mask] = int(label)
# 保存灰度图
labelme.utils.image.save_image('gray.png', gray_img)
```
3. 运行脚本,生成灰度图
```shell
python script.py
```
以上是将labelme生成的json文件转换为灰度图的方法,希望能够帮到您。
阅读全文
相关推荐

















