When running train.py. it looks for a v7.yaml under the data_augs config folder
Under, the base.yaml includes a 'v7' config file, that it looks for in cvlface/research/recognition/code/run_v1/data_augs/configs.
defaults:
- trainers : configs/default
- optims : configs/cosine
- pefts: configs/none
- models: vit/configs/v1_small
- classifiers: configs/partial_fc
- aligners: configs/none
- dataset: configs/casia
- data_augs: configs/v7
- losses: configs/adaface
- pipelines: configs/train_model_cls
- evaluations: configs/base
The v7.yaml file doens't exist in the config folder.
The folder only contains two augmentation configs: basic_v1.yaml and gridsample_v1.yaml
What to use to achieve the results from the paper?
Thx
When running train.py. it looks for a v7.yaml under the data_augs config folder
Under, the base.yaml includes a 'v7' config file, that it looks for in cvlface/research/recognition/code/run_v1/data_augs/configs.
defaults:
The v7.yaml file doens't exist in the config folder.
The folder only contains two augmentation configs: basic_v1.yaml and gridsample_v1.yaml
What to use to achieve the results from the paper?
Thx