【python基础】labelme工具的解析

前言

 

问题：

(labelme) xxx@xxx:~/xxx/labelme2dataset/anno$ labelme_json_to_dataset 0.json
[INFO   ] font_manager:_rebuild:1337 - generated new fontManager
[INFO   ] font_manager:_rebuild:1337 - generated new fontManager
[WARNING] json_to_dataset:main:15 - This script is aimed to demonstrate how to convert the JSON file to a single image dataset.
[WARNING] json_to_dataset:main:19 - It won't handle multiple JSON files to generate a real-use dataset.
Traceback (most recent call last):
  File "/home/xxx/miniconda3/envs/labelme/bin/labelme_json_to_dataset", line 8, in <module>
    sys.exit(main())
  File "/home/xxx/miniconda3/envs/labelme/lib/python3.8/site-packages/labelme/cli/json_to_dataset.py", line 57, in main
    lbl, _ = utils.shapes_to_label(
  File "/home/xxx/miniconda3/envs/labelme/lib/python3.8/site-packages/labelme/utils/shape.py", line 71, in shapes_to_label
    mask = shape_to_mask(img_shape[:2], points, shape_type)
  File "/home/xxx/miniconda3/envs/labelme/lib/python3.8/site-packages/labelme/utils/shape.py", line 47, in shape_to_mask
    mask = np.array(mask, dtype=bool)
TypeError: __array__() takes 1 positional argument but 2 were given

 

原因

python中numpy数据和PIL中Image数据类型之间的转换；

    mask = np.array(mask)
    print('mask type: ', mask.dtype)
    mask = np.array(mask, dtype=bool)

 添加第一条语句即可;

 

完