Comments (3)
classaen7
commented on August 9, 2024
멀티 프로세싱과 관련된 문제로 보임
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woohee-yang
commented on August 9, 2024
멀티 프로세싱을 꼭 할 필요는 없어서 수정하신 if 문이 첨가된 코드도 괜찮아 보이는데 혹시 다른 문제가 있으신가요?
from level1-imageclassification-cv-10.
classaen7
commented on August 9, 2024
num_workers=multiprocessing.cpu_count() // 4로 설정해도 오류가 생겨서
기존의 코드대로
detection을 수행할 경우 0을 할당받게 설정함
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Related Issues (20)
- [REFACT] datasets 내부에 있는 augmentation code 관련된 코드 분리
- [FEAT] multi-head 모델 drop_age, mislabel data 적용
- [FEAT] RMSPROP optimizer 추가
- [FIX] multi_train.py augmentation class 경로 수정 필요 HOT 1
- [FEAT] 소규모 모델들 실험 HOT 1
- [FEAT] RandAugment 이용해 성능이 좋은 Augmentation 찾기 HOT 1
- [FEAT] Loss(Cross Entropy, Focal Loss) 실험 HOT 1
- [FEAT] ConvNeXt 모델 추가 및 실험
- [FEAT] train & validation folder split
- [FEAT] Add Confusion Matrix in wandb
- [FEAT] yolo, rembg 관련 기능 추가 및 실험 HOT 3
- [FEAT] Stacking ensemble 실험 HOT 1
- [FEAT] vit, swin transformer 추가 HOT 1
- [FEAT] Add cutmix and mixup code HOT 1
- [FEAT] multi-head 추가 실험
- [FEAT] Cutmix/Mixup smooth label 구현 HOT 1
- [FIX] 코드 모듈화 및 가독성 위한 문서화
- [FEAT] hard-voting / soft-voting 앙상블 실험
- [FEAT] pretrained models 를 기반으로 ensemble 하는 코드
- [FEAT] Stacking / Soft Voting / Hard Voting Ensemble 실험
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