sudecki30/labels

Labels image/picture for deeplearning

labels

Labels image/picture for deeplearning

labels_to_png.py

Transforms all png pictures used to labels images to json files. These json files work perfectly with label me. You can use after labelme2coco.py to do a COCO file.

Exemple to use : python png_to_json_4.py --folder_picture D:\images --folder_png D:\label --config D:\python\AutonomousCar\Data\cityscapes\config.json

you can find an exemple of config.json file in the repetory. It is defined color used and name of label.

labels's Issues

can't iterate

Hi, can you help me please?

multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "D:\Segment\envs\trans\lib\multiprocessing\pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "d:\labels-master\png_to_json.py", line 149, in image_to_json
segmentations,areas,bboxs = create_sub_mask_annotation(mask, image_id, category_id, annotation_id, is_crowd)
File "d:\labels-master\png_to_json.py", line 53, in create_sub_mask_annotation
contour = np.vstack(contour).squeeze()
File "<array_function internals>", line 6, in vstack
TypeError: dispatcher for array_function did not return an iterable
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "d:/labels-master/png_to_json.py", line 251, in
for _ in tqdm.tqdm(pool.imap( image_to_json_partial, range(l)), total=l):
File "D:\Segment\envs\trans\lib\site-packages\tqdm\std.py", line 1178, in iter
for obj in iterable:
File "D:\Segment\envs\trans\lib\multiprocessing\pool.py", line 736, in next
raise value
TypeError: dispatcher for array_function did not return an iterable

-----How can I solve it?

version

Can you list the corresponding version of dependent packages?
I guess it influences a lot.