tony607/labelme2coco

How to create custom COCO data set for instance segmentation

labelme2coco's Issues

don't barf if there's no image data in .json file

use width/height from the .json file if no image binhex data exists

Object of type 'int64' is not JSON serializable

Thanks for your excellent article and repo.
When I run labelme2coco with my annotations, I got error:
TypeError: Object of type 'int64' is not JSON serializable

After some tests I noticed I get it because labelme makes my annotations in integer form:

      "points": [
        [
          1389,
          1450
        ],

If I modify it manually in float it works:

      "points": [
        [
          1389.0,
          1450.0
        ],

Maybe you can modify your code to make it compatible with integer annotations?

Why do you separate categories splitting by '_'?

Line 35 of the labelme2coco.py file has this line:
label = shapes["label"].split("_")
Is there any restriction in COCO format for using '_' in a category?. What about if I have these two categories: tab_cut_left and tab_cut_rigth? Thanks.

How do you split output coco dataset into train and test directories

关键点无效

为什么关键点的转换不能实现

Error while saving the COCO format

Hello @Tony607, thank you for the conversion script.
Can you explain why I got this error?

save coco json
Traceback (most recent call last):
File "/content/labelme2coco/labelme2coco.py", line 163, in
labelme2coco(labelme_json, args.output)
File "/content/labelme2coco/labelme2coco.py", line 27, in init
self.save_json()
File "/content/labelme2coco/labelme2coco.py", line 137, in save_json
self.data_transfer()
File "/content/labelme2coco/labelme2coco.py", line 33, in data_transfer
self.images.append(self.image(data, num))
File "/content/labelme2coco/labelme2coco.py", line 51, in image
img = utils.img_b64_to_arr(data["imageData"])
File "/usr/local/lib/python3.6/dist-packages/labelme/utils/image.py", line 18, in img_b64_to_arr
img_data = base64.b64decode(img_b64)
File "/usr/lib/python3.6/base64.py", line 80, in b64decode
s = _bytes_from_decode_data(s)
File "/usr/lib/python3.6/base64.py", line 46, in _bytes_from_decode_data
"string, not %r" % s.class.name) from None
TypeError: argument should be a bytes-like object or ASCII string, not 'NoneType'

Seems not support new 'group' feature of labelme

First of all, thans for your work!
The latest labelme add 'goup' keyword to indicate seperated parts for the same instance. But as I annotate the images and convert the coco json file using your script, the different parts seem to not belong to the single instance.

Error while saving JSON file

Hello @Tony607 , thank you for the script but while running the script I got this error.
What am I doing wrong?

save coco json
Traceback (most recent call last):
File "/content/labelme2coco/labelme2coco.py", line 163, in
labelme2coco(labelme_json, args.output)
File "/content/labelme2coco/labelme2coco.py", line 27, in init
self.save_json()
File "/content/labelme2coco/labelme2coco.py", line 137, in save_json
self.data_transfer()
File "/content/labelme2coco/labelme2coco.py", line 33, in data_transfer
self.images.append(self.image(data, num))
File "/content/labelme2coco/labelme2coco.py", line 51, in image
img = utils.img_b64_to_arr(data["imageData"])
File "/usr/local/lib/python3.6/dist-packages/labelme/utils/image.py", line 18, in img_b64_to_arr
img_data = base64.b64decode(img_b64)
File "/usr/lib/python3.6/base64.py", line 80, in b64decode
s = _bytes_from_decode_data(s)
File "/usr/lib/python3.6/base64.py", line 46, in _bytes_from_decode_data
"string, not %r" % s.class.name) from None
TypeError: argument should be a bytes-like object or ASCII string, not 'NoneType'

TypeError: argument should be a bytes-like object or ASCII string, not 'NoneType'

hello, I would like to know what's wrong with that, thanks!

Labelme2coco python notebook is showing different colors on a same label.

I used the python notebook in your repository. It showed me different colors on a same label. Will this affect my ML model training?

As you can see in the image, I only have one label "Light" but it is showing me different colors on every annotation. Help will be appreciated. Thanks