The model hallucinates blank images and creates output out of thin air

[SleepEarlyLiveLong]

When using the ParseQ model for inference, if a blank image is input, the output content is out of thin air.

To solve this problem, I generated 10,000 blank images of varying lengths and set their labels to a single space ‘ ’, but these data were ignored when finetuning the model：

parseq/strhub/data/dataset.py

Line 115 in 1902db0

# We filter out samples which don't contain any supported characters

How can I solve this problem?
Should I simply set remove_whitespace to false?
For blank images of varying lengths, should I set their labels to a single space or to different numbers of spaces depending on the length of the image?