# 210902 피어세션

## 앙상블 시도
EffNet b7
- 석민: Focal_smoothing, gender
- 준희: Focal_smoothing, mask
- 태욱: Focal_smoothing, age

EffNet b7
- 하은: Focal, Mask
- 종원: Focal, Age
- 태현: Focal, gender

- 지호: cutmix + mixup + facecrop

## 내일 할 것
- 랩업 리포트
- 코드 리팩토링

python train.py \
         --epochs 5 \
         --dataset MaskSplitStratifyDataset \
         --label mask/age/gender \
         --augmentation get_transforms \
         --resize 384 256 \
         --lr 0.00003 \
         --lr_decay_step 50 \
         --lr_gamma 0.5 \
         --batch_size 16 \
         --valid_batch_size 32 \
         --model EfficientNet \
         --model_version tf_efficientnet_b7\
         --optimizer Adam \
         --criterion focal/focal_smoothing\
         --log_interval 100\
         --name T2065/EfficientNet_b7_focal_smoothing_0902_mask

python train.py \
         --epochs 5 \
         --dataset MaskSplitStratifyDataset \
         --label mask/age/gender \
         --augmentation get_transforms \
         --resize 384 256 \
         --lr 0.00003 \
         --lr_decay_step 50 \
         --lr_gamma 0.5 \
         --batch_size 16 \
         --valid_batch_size 32 \
         --model resnet50 \
         --model_version tf_efficientnet_b7\
         --optimizer Adam \
         --criterion focal/focal_smoothing\
         --log_interval 100\
         --name T2065/EfficientNet_b7_focal_smoothing_0902_mask

python inference.py \
         --batch_size 32 \
         --resize 384 256 \
         --model EfficientNet \
         --model_version tf_efficientnet_b7 \
         --name T2065/EfficientNet_b7_focal_smoothing_0902_mask \
         --output_name EfficientNet_b7_focal_smoothing_0902_mask

inference.py
def inference(data_dir, model_dir, output_dir, args):
    """
    """
    use_cuda = torch.cuda.is_available()
    device = torch.device("cuda" if use_cuda else "cpu")

    num_classes = 2  # 18 <<- 요거 바꾸기 마스크는 3