xcrobert / labelme2coco Goto Github PK

Traceback (most recent call last):
File "", line 1, in
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/init.py", line 14, in convert
labelme2coco(labelme_folder, save_json_path)
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 34, in init
self.save_json()
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 145, in save_json
self.data_transfer()
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 50, in data_transfer
self.annotations.append(self.annotation(points, label, num))
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 84, in annotation
annotation['bbox'] = list(map(float, self.getbbox(points)))
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 112, in getbbox
mask = self.polygons_to_mask([self.height, self.width], polygons)
File "/home/reshu/Downloads/labelme2coco-0.1.2/labelme2coco/labelme2coco.py", line 134, in polygons_to_mask
mask = np.array(mask, dtype=bool)
TypeError: array() takes 1 positional argument but 2 were given

Traceback (most recent call last):
File "/home/hustget/labelme2coco/coco.py", line 11, in
labelme2coco.convert(labelme_folder, save_json_path)
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/init.py", line 14, in convert
labelme2coco(labelme_folder, save_json_path)
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 34, in init
self.save_json()
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 146, in save_json
self.data_transfer()
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 50, in data_transfer
self.annotations.append(self.annotation(points, label, num))
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 85, in annotation
annotation['bbox'] = list(map(float, self.getbbox(points)))
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 114, in getbbox
return self.mask2box(mask)
File "/media/hustget/E240392A40390737/labelme2coco/labelme2coco/labelme2coco.py", line 122, in mask2box
left_top_r = np.min(rows) # y
File "<array_function internals>", line 6, in amin
File "/home/hustget/miniconda2/envs/open-mmlab/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 2831, in amin
keepdims=keepdims, initial=initial, where=where)
File "/home/hustget/miniconda2/envs/open-mmlab/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 87, in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation minimum which has no identity

Process finished with exit code 1

Hi, thank you for this tool but i got an issue.

with this command

# convert labelme annotations to coco
labelme2coco.convert(labelme_folder, save_json_path)

I got AttributeError:
module 'labelme2coco' has no attribute 'convert'

raceback (most recent call last):
File "/data/tools/1.py", line 330, in
labelme2coco(labelme_json,save_image_dir, coco_dir)
File "/data/tools/1.py", line 44, in init
self.save_json()
File "/data/tools/1.py", line 182, in save_json
self.data_transfer()
File "/data/tools/1.py", line 67, in data_transfer
self.annotations.append(self.annotation(points,label,num))
File "/data/tools/1.py", line 122, in annotation
annotation['bbox'] = list(map(float,self.getbbox(points)))
File "/data/tools/1.py", line 144, in getbbox
return self.mask2box(mask)
File "/data/tools/1.py", line 153, in mask2box
left_top_r = np.min(rows) # y
File "/home/anaconda3/envs/snake/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 2618, in amin
initial=initial)
File "/home/anaconda3/envs/snake/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation minimum which has no identity

Hi
I am using labelme2coco with pixellib.
It works fine with Windows10, but not with Windows11.
The tool creates a directory and then wants to write to a text file. Then Errno13 arises. I would be very happy about your help. best regards

Wilhelm

I have tried different versions.
pip3 install scikit-image==0.18.3
pip3 install numpy==1.19.5
pip3 install tensorflow==2.5.0
pip3 install imgaug
pip3 install pixellib --upgrade
pip3 install labelme2coco==0.1.2

你好！，运行代码 出现以下错误，请问是什么原因呢？

Traceback (most recent call last):
File "labelme2coco.py", line 162, in
labelme2coco(labelme_json,'train.json')
File "labelme2coco.py", line 34, in init
self.save_json()
File "labelme2coco.py", line 142, in save_json
self.data_transfer()
File "labelme2coco.py", line 42, in data_transfer
self.images.append(self.image(data,num,file_name))
File "labelme2coco.py", line 54, in image
img = img_b64_to_arr(data['imageData'])
File "/home/zhixing/mmdetection-2.1.0/image.py", line 12, in img_b64_to_arr
f.write(base64.b64decode(img_b64))
File "/home/zhixing/anaconda3/lib/python3.7/base64.py", line 80, in b64decode
s = _bytes_from_decode_data(s)
File "/home/zhixing/anaconda3/lib/python3.7/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'