- Overall Solution
- Code Structure
- How To Train & Inference
- Collaborators
- EfficientNetB7과 Swin-Large 모델 앙상블
- Augmentation으로는 Mixup, Rotate, RandomBrightnessContrast, CoarseDropout 사용
.
├── DATA
├── README.md
├── config
│ ├── cfg1.yml
│ └── cfg2.yml
├── dirstructure.txt
├── ensemble.py
├── inference.py
├── models
├── modules
│ ├── dataset.py
│ ├── losses.py
│ ├── models.py
│ ├── optimizers.py
│ ├── schedulers.py
│ └── utils.py
├── submissions
└── train.py
- Model1 & Model2 Train
$ python train.py --config cfg1.yml
$ python train.py --config cfg2.yml
- Model1 & Model2 Inference
$ python inference.py --config cfg1.yml
$ python inference.py --config cfg2.yml
- ensemble
$ python ensemble.py