Description
What happened?
import os
os.environ['FASTDUP_PRODUCTION'] = '1'
import fastdup
fd = fastdup.create(work_dir='work_dir', input_dir='img_cache_folder')
fd.run(ccthreshold=0.97, d=960, overwrite=True, run_mode=1, high_accuracy=True)
There are only 5 pictures in the img_cache_folder path
I have encountered an error when encountering a lower version of fastdup before, even adding the environment variable 'FASTDUP_PRODUCTION' cannot solve the problem.
Running the above code reports an error
[FATAL] This fastdup version is deprecated, please reinstall from pypi using pip install fastdup
So we upgraded the fastdup version to 2.13, but we encountered new problems with the higher version of fastdup. But when we run the above code to process data within 10 pictures, an error will be reported.
CRITICAL:vl.root.fastdup.pipeline.common.dataset_db_updater:"Error: Insufficient number of valid images in dataset (2). Minimum required images: 10". Please note that only the following image formats are supported: ['.png', '.jpg', '.jpeg', '.gif', '.giff', '.tif', '.tiff', '.heic', '.heif', '.bmp', '.webp', '.jfif', '.jpg2'], info: None, exception: None
Since we are an automated process, there may be situations where there are less than 10 pictures, and this will not cause an error in lower versions (such as version 2.2). Now I want to handle the situation where there are less than 10 pictures. How should I solve it? , because I did not see the documentation related to the 2.XX version here https://visual-layer.readme.io/docs/v02xx-api
What did you expect to see?
Can handle situations within 10 pictures
What version of fastdup were you runnning on?
2.13
What version of Python were you running on?
Python 3.9
Operating System
ubuntu 22.04 LTS
Reproduction steps
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Relevant log output
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Attach a screenshot [Optional]
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Contact Details [Optional]
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