ID R&D Anti-spoofing Challenge 1st place Solution (link)

Train model: python train.py --config 'configuration file'

Predict: python test.py --path-images-csv 'annotation' --path-test-dir 'path to images' --path-submission-csv 'submission'

Final solution is based on ensemble of two models: se_resnext50 and densnet121.

The following configs are used to train this models: se_resnext50_focal.yaml and densnet121_focal.yaml

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
config		config
data		data
losses		losses
metrics		metrics
models		models
optimizers		optimizers
tmp		tmp
utils		utils
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
meta.json		meta.json
test.py		test.py
train.py		train.py

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