tensorflow / tensorflow/tensorboard
module 'PIL.Image' has no attribute 'ANTIALIAS'
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
Environment information (required)
Linux:
cuda 11.4
pytorch 1.12.1
Python 3.8.18
PIL 10.3.0
tensorboard 2.14.0
I setup the environment by :
$ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
Issue description
When using writer.add_figure to add a figure, there is a Error:
AttributeError: module 'PIL.Image' has no attribute 'ANTIALIAS'
The original code line in my project is:
writer.add_figure('indicator/CM', fig)
fig is a matplotlib Figure, where a confusion matrix is drawn.
It seems in the process of add_images of add_figure , it is attempted to get the attribute ANTIALIAS of PIL.Image. BUT in the recent update, it was removed! Since version 10.0.0, ANTIALIAS was already removed, but add_figure method still needs it.
Reproduce the problem
Add a figure to a writer. The figure draws a confusion matrix.
This should reproduce the problem.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at writer.add_figure and follow its add_images path to locate the PIL.Image.ANTIALIAS reference. Reproduce the failure with a Matplotlib Figure and the reported Pillow 10.3.0 environment. Done means adding a figure no longer raises this AttributeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100