decompression bomb DOS attack Warning

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
20/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
computer-vision, machine-learning

Research direction

Start by reproducing training with the listed model, backbone, and image settings, then inspect the reported PIL Image.py warning and the dimensions of the input images. The issue does not identify a project file, test, expected behavior, or a defined completion condition, so first determine why training stops after the warning.

Written by the indexing model from the issue text.

Description

When i try train the model with 1500 images i am getting this warning and after that training stopped
model = encnet
backbone = resnest101
learning rate = 0.0125 (changed)
base size = 480 (changed)
crop size = 440 (changed)
batch size = 2

Error:
/home/****/miniconda3/envs/seg-pe/lib/python3.7/site-packages/PIL/Image.py:2850: DecompressionBombWarning: Image size (133036628 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack.
DecompressionBombWarning,

Dominant language
Python
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