Comments (4)
I have the same problem. Any solutions?
from pixellib.
I have the same problem too. Have you found a solution? Would really appreciate some help!
from pixellib.
also having this issue. Tried making some changes in the init.py file to no avail
from pixellib.
This is solved with:
- On Google Collab (or other service) you need to make sure to restart your runtime. Delete folder train.json which has dataset.json in it. It is error with labelcoco.
- Run this - downgrading:
!pip install pixellib==0.5.2 !pip install labelme2coco==0.1.0
- Run again.
- Profit.
from pixellib.
Related Issues (20)
- UnpicklingError: A load persistent id instruction was encountered, but no persistent_load function was specified.
- #389 layer
- ImportError: cannot import name 'semantic_segmentation' from 'pixellib.semantic' HOT 7
- Error when checking input: expected input_image_meta to have shape (18,) but got array with shape (16,) during last step HOT 1
- Error when loading a pretrained model
- Is training with different labels in the same image possible? HOT 3
- labelme2coco does not work with Windows 11 HOT 4
- training time does not reduces after increasing batch_size on 32 GB CPU instance HOT 1
- What are the correct corresponding versions of pixlib and TensorFlow? HOT 1
- sometimes image does not get segmented with polygon bounding boxes but only with rectangle bounding boxes
- Using pixelLib simply for segmetnation. HOT 1
- Custom Segmentation - Errno 13 error HOT 2
- Semantic segmentation output rgb values do not match input class values
- Error:No pointrend_resnet50 model found
- PIL.Image AttributeError HOT 1
- mask label for training
- Make segment overlay invisible
- For newer version of Tensorflow, you should change code.
- not useful
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from pixellib.